CN113060036B - Charging control method and device of optical storage charging station, server and storage medium - Google Patents

Charging control method and device of optical storage charging station, server and storage medium Download PDF

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Publication number
CN113060036B
CN113060036B CN202110277828.1A CN202110277828A CN113060036B CN 113060036 B CN113060036 B CN 113060036B CN 202110277828 A CN202110277828 A CN 202110277828A CN 113060036 B CN113060036 B CN 113060036B
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power
charging
electricity
determining
time
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CN113060036A (en
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王晨薇
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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Shanghai Envision Innovation Intelligent Technology Co Ltd
Envision Digital International Pte Ltd
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/62—Monitoring or controlling charging stations in response to charging parameters, e.g. current, voltage or electrical charge
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/50—Charging stations characterised by energy-storage or power-generation means
    • B60L53/51—Photovoltaic means
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/50—Charging stations characterised by energy-storage or power-generation means
    • B60L53/53—Batteries
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
    • B60L53/00—Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60—Monitoring or controlling charging stations
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
    • H02J7/34—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering
    • H02J7/35—Parallel operation in networks using both storage and other dc sources, e.g. providing buffering with light sensitive cells
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/70—Energy storage systems for electromobility, e.g. batteries
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00—Road transport of goods or passengers
    • Y02T10/60—Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072—Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/12—Electric charging stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10—Technologies relating to charging of electric vehicles
    • Y02T90/16—Information or communication technologies improving the operation of electric vehicles
    • Y02T90/167—Systems integrating technologies related to power network operation and communication or information technologies for supporting the interoperability of electric or hybrid vehicles, i.e. smartgrids as interface for battery charging of electric vehicles [EV] or hybrid vehicles [HEV]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S30/00—Systems supporting specific end-user applications in the sector of transportation
    • Y04S30/10—Systems supporting the interoperability of electric or hybrid vehicles
    • Y04S30/12—Remote or cooperative charging

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The application discloses a charging control method, a device, a server and a storage medium of an optical storage station, and relates to the technical field of charging control. The method comprises the following steps: acquiring charging demand information of the electric automobile in the light storage charging station; determining the required emergency degree of the electric automobile according to the charging requirement information; acquiring real-time power consumption of the light storage charging station and real-time power generation of photovoltaic in the light storage charging station; determining equivalent power based on the real-time power consumption, the real-time power generation and the sum of the first charging power; and determining a charging control strategy of the light storage station according to the equivalent power. In the embodiment of the application, the formulated charging control strategy can meet the optimization target of minimizing the fluctuation of the power grid, and the running safety of the power grid is improved.

Description

Charging control method and device of optical storage charging station, server and storage medium
Technical Field
The present disclosure relates to the field of charging control technologies, and in particular, to a charging control method, a device, a server, and a storage medium for an optical storage station.
Background
In recent years, electric Vehicles (EV) are rapidly developed, and more Electric vehicles are put into market.
The electric automobile can charge at the light storage charging station, and the light storage charging station is an electric automobile charging station that contains photovoltaic, energy storage and electric pile. The electric energy source of the light storage charging station can be any one of photovoltaic, energy storage and power grid. The charging behavior of the electric automobile has strong randomness, and the charging power of the electric automobile is relatively high, so that the influence on a power grid cannot be ignored.
How to perform charging control in an optical storage station to minimize the influence on the power grid, the related art has not provided a better solution.
Disclosure of Invention
The application provides a charging control method, a device, a server and a storage medium of an optical storage station, so that a charging control strategy can meet an optimization target of minimizing power grid fluctuation, and the running safety of a power grid is improved. The technical scheme is as follows:
according to one aspect of the present application, there is provided a charging control method of an optical storage charging station, applied to a server, the method including:
acquiring charging demand information of the electric automobile in the light storage charging station;
Determining the required emergency degree of the electric automobile according to the charging requirement information;
acquiring real-time power consumption of the light storage charging station and real-time power generation of photovoltaic in the light storage charging station;
determining an equivalent power based on the real-time electric power, the real-time generated power and a first charging power sum, wherein the equivalent power is power required to be obtained from a power grid by the optical storage charging station without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum required by the electric automobile with the required emergency degree not less than a threshold value to charge with a maximum charging power;
and determining a charging control strategy of the light storage station according to the equivalent power.
Optionally, in the fourth strategy, the first power difference is greater than a second charging power sum, and the first power difference is less than a third charging power sum, the second charging power sum being the i 1 Front i in electric vehicle 1 -1 sum of the power required for charging the electric vehicle with the maximum charging power, the third sum of the charging powers being the i 1 The power sum required by the vehicle electric automobile to charge at the maximum charging power, wherein the first power difference value is the difference value between the reference power and the equivalent power; the i is 1 Electric vehicleI of (a) 1 -1 electric vehicle has a charging power of the maximum charging power, i < th > 1 And the charging power of the electric automobile is the difference between the first power difference and the second charging power sum.
Optionally, in the fifth strategy, the second power difference is greater than a fifth charging power sum, and the second power difference is less than a sixth charging power sum, the fifth charging power sum being the i 2 Front i in electric vehicle 2 -1 sum of power required for charging the electric vehicle with the maximum charging power, the sixth sum of charging power being the i 2 The power sum required by the electric vehicle to charge at the maximum charging power; the i is 2 Front i in electric vehicle 2 -1 electric vehicle has a charging power of the maximum charging power, i < th > 2 And the charging power of the electric automobile is the difference between the second power difference and the fifth charging power sum.
Optionally, the method further comprises:
acquiring record data of each transformer in the optical storage station;
determining a first electricity total amount, a second electricity total amount and a generated energy in an operation time based on the recorded data, wherein the first electricity total amount is the charging total amount of the electric vehicle in the light storage charging station, the second electricity total amount is the other electricity total amount except the first electricity total amount in the light storage charging station, and the generated energy is the generated energy of the photovoltaic in the light storage charging station;
The reference power is determined based on the first total amount of electricity, the second total amount of electricity, the power generation amount, and the operation time.
According to an aspect of the present application, there is provided a charge control device of an optical storage station, the device comprising: an acquisition module and a determination module;
the acquisition module is used for acquiring the charging demand information of the electric automobile in the optical storage station;
the determining module is used for determining the required emergency degree of the electric automobile according to the charging requirement information;
the acquisition module is used for acquiring real-time power consumption of the optical storage charging station and real-time power generation of photovoltaic in the optical storage charging station;
the determining module is configured to determine an equivalent power based on the real-time electric power, the real-time generated power, and the first charging power sum, where the equivalent power is a power that the optical storage charging station needs to obtain from a power grid without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum that is required by the electric vehicle with the required emergency degree not less than a threshold value to charge with a maximum charging power;
And the determining module is used for determining a charging control strategy of the light storage station according to the equivalent power.
According to one aspect of the present application, there is provided a server comprising: a processor having a memory coupled to the memory; wherein the processor is configured to load and execute executable instructions to implement the method of charging control of an optical storage charging station as described in the above aspects.
According to one aspect of the present application, there is provided a computer readable storage medium storing at least one instruction for execution by a processor to implement a method of charging control of an optical storage charging station as described in the above aspects.
According to another aspect of the present application, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the charging control method of the optical storage station provided in the above-mentioned alternative implementation manner.
The technical scheme provided by the embodiment of the application at least comprises the following beneficial effects:
the server can determine the power (equivalent power) required to be obtained from the power grid by the light storage charging station under the condition of not considering the energy storage in the light storage charging station by acquiring the real-time power consumption, the real-time power generation power and the charging demand information of the electric automobile of the light storage charging station, and then the server can formulate a charging control strategy matched with the equivalent power according to the equivalent power, so that the charging control strategy can meet the optimization target of minimizing the fluctuation of the power grid, and the running safety of the power grid is improved.
Meanwhile, the method provided by the application does not depend on a charging demand prediction model, only real-time power consumption, real-time power generation and charging demand information of the electric automobile are required to be counted, and implementation difficulty is low.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of an optical storage station provided in one exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method of controlling charging of an optical storage station provided in an exemplary embodiment of the present application;
FIG. 3 is a flow chart of a method of controlling charging of an optical storage station provided in an exemplary embodiment of the present application;
FIG. 4 is a flowchart of a method of controlling charging of an optical storage station provided in an exemplary embodiment of the present application;
fig. 5 is a block diagram of a charging control device of an optical storage charging station according to an exemplary embodiment of the present application;
fig. 6 is a block diagram of a server according to an exemplary embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present application more apparent, the embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
References herein to "a plurality" means two or more. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship.
First, a brief description will be made of terms involved in this application:
electric automobile: refers to an automobile that uses electric energy as a power source and is driven by an electric motor.
Electric vehicles have received much attention for their advantages of clean energy and environmental friendliness. The wide application of the electric automobile can effectively relieve the dependence of the traditional fuel automobile on fossil fuel, thereby reducing the emission of polluted gas.
State of Charge (SOC): the ratio of the remaining capacity of the battery to the capacity in its fully charged state is expressed as a common percentage.
The SOC ranges from 0 to 1, and indicates that the battery is completely discharged when soc=0 and that the battery is completely charged when soc=1.
Light stores up charging station: is an electric vehicle charging station with photovoltaic, energy storage and charging piles.
In recent years, electric vehicles are rapidly developed, and charging modes of the electric vehicles mainly comprise centralized charging, and charging stations are generally established to realize centralized charging. Because the charging power of the electric automobile is larger, certain impact can be generated on a power grid, and the charging station can reasonably allocate photovoltaic and energy storage with certain capacity to build an optical storage charging station. In the light storage station, the introduced photovoltaic can generate electricity so as to stabilize the randomness of the charging load; the introduced energy storage can be used for storing energy and promoting the near absorption of renewable energy power generation. Energy storage in embodiments of the present application may also be understood as energy storage devices, energy storage resources, energy storage systems, and the like.
An electric vehicle is a movable energy storage resource, and compared with a static energy storage resource, the charging and discharging time of the latter is completely determined by a control strategy of a micro-grid system, wherein the charging and discharging time of the former is mainly controlled by a user, and the micro-grid system is a system formed by other energy sources or loads of an optical storage station except an external power grid. The charge-discharge decision made by the user on the electric automobile is influenced by the current battery electric quantity, the current charging cost at the moment and other factors, and the electric automobile has great flexibility and randomness. Meanwhile, compared with a residential district charging station or a charging station for staff in enterprises, the charging demand of the commercial public charging station has the characteristics of inconsistent arrival and departure time of vehicle owners, large initial SOC difference of vehicles, larger demand volatility, high requirement on the satisfaction degree of charging service and the like.
The unordered charging of the large-scale electric automobile can reduce the economical efficiency, stability and reliability of the operation of the power grid and endanger the safe operation of the power grid, so that an appropriate charging control strategy is necessary to guide the electric automobile to carry out ordered charging so as to ensure the safe and economical operation of the power grid.
In the related art, there have been some studies on the operation and configuration problems of charging stations containing photovoltaic or stored energy, but there have been few studies on the operation and configuration problems of light-stored charging stations. In a few researches on the optical storage charging station, a complex optimization model is often required to be established, and a linear programming or even some heuristic algorithms are adopted for calculation, so that the calculation process is complex. Meanwhile, calculation is necessary to rely on a charging demand prediction model obtained by fitting historical data, and the accuracy of the charging demand prediction model can greatly influence the optimization effect of the scheme. The scheme proposed in the related art has great difficulty in landing when being applied to commercial public charging stations with high demand flexibility.
The application aims to provide a charging control method of an optical storage charging station, which does not need to predict the charging requirement of a user and takes the minimum fluctuation of a power grid as an optimization target.
Referring in conjunction to fig. 1, a system block diagram of an optical storage station provided by an exemplary embodiment of the present application is shown. The optical storage charging station may include: photovoltaic 11, energy storage 12, charging system 13, grid 14, and other load devices 15.
The photovoltaic 11 is a short term solar photovoltaic power generation system, which is a power generation system that directly converts solar radiation energy into electric energy by utilizing a photovoltaic effect (photovoltaic) of a solar cell semiconductor material. The photovoltaic 11 is used to power a photovoltaic storage station. The photovoltaic 11 may be mounted on the roof of a Yu Guangchu charging station. In the embodiments of the present application, the photovoltaic 11 may be centralized or distributed.
The energy storage 12 is a system that includes an energy storage battery. The energy storage 12 is used to store excess electrical energy using an energy storage battery when the photovoltaic 11 is generating excess or the grid 14 is underloaded. For example: and storing low-price electric energy into the energy storage battery at night, and outputting the electric energy in the energy storage battery to supply power for the photo-electricity storage station during daytime.
The charging system 13 includes a plurality of charging piles (charging piles), which are charging devices for providing charging services for the electric vehicle. The charging pile support is connected with the electric automobile and supplies power for the electric automobile entering the light storage charging station. The charging pile can be a floor type charging pile or a wall-mounted charging pile, and adopts a charging mode of timing, electricity metering, money metering and the like. One charging post supports providing charging services for one or more electric vehicles, and only one charging post is used for providing charging services for one electric vehicle in fig. 1 for exemplary illustration. Optionally, the charging pile comprises a man-machine interaction interface, so that charging requirement information of a user on the electric automobile can be obtained. Optionally, when the charging pile is connected with the electric automobile, battery information of the electric automobile can be obtained.
The power grid 14 is a network for delivering electrical energy from the outside. It will be appreciated that in addition to the light storage and charging stations, the grid 14 is also responsible for powering other electricity sites in the society.
The other load device 15 is a device requiring electricity other than the electric vehicle in the optical storage charging station. The other load devices 15 may be office consumers (e.g. computers), consumer consumers (e.g. lamps) etc. in the light storage station.
The modules in the optical storage station may communicate with the server 16 via a network, which may be a wired network or a wireless network.
The server 16 is used to monitor and control the operation of the optical storage station. The server 16 may be a separate physical server, or may be a server cluster or a distributed system formed by a plurality of physical servers. In the present embodiment, the server 16 supports a charging control strategy for making the optical storage charging station, and controls the charging behavior of the optical storage charging station.
Fig. 2 shows a flowchart of a charging control method of an optical storage charging station according to an exemplary embodiment of the present application, which may be applied to a server in the optical storage charging station shown in fig. 1, and the method may include the following steps:
Step 210, obtaining charging demand information of the electric vehicle in the optical storage station.
The server obtains charging demand information of all electric vehicles located in the light storage charging station.
The charging demand information is information for reflecting the demand of the electric vehicle for the service provided by the light storage charging station. Optionally, the charging demand information includes, but is not limited to: the expected departure time of the electric vehicle and the expected state of charge of the electric vehicle at the departure time. Optionally, the optical storage charging station provides charging service for the electric automobile according to the charging demand information.
Optionally, the server obtains charging demand information from the charging pile. The charging pile comprises a man-machine interaction interface, the charging pile obtains charging demand information of a user aiming at the electric automobile through the man-machine interaction interface, and the charging demand information is sent to the server through a network.
Step 220, determining the emergency degree of the electric automobile according to the charging requirement information.
Aiming at any electric automobile, the server calculates the corresponding requirement emergency degree of the electric automobile according to the acquired charging requirement information.
The demand urgency is used for representing the urgency of providing the electric automobile with the service corresponding to the charging demand information. Alternatively, the larger the value of the required urgency, the more the electric vehicle needs to be charged as soon as possible. Optionally, the demand urgency is a positive number, and the server can divide the electric vehicles into different demand types according to the value of the demand urgency, and the electric vehicles belonging to the same value range of the demand urgency are of the same demand type.
Step 230, obtaining real-time electric power of the optical storage station and real-time electric power of the photovoltaic in the optical storage station.
The charging pile and other electric equipment exist in the optical storage charging station, and the real-time electric power is the power corresponding to the power consumption of all the electric equipment in the optical storage charging station at the current moment. The real-time generated power is the power corresponding to the generated power of the photovoltaic in the photovoltaic storage station at the current moment. It can be understood that, because of a certain time ductility in data collection of the electric quantity, the "current time" is actually a time slightly earlier than the real time, and the real-time electric power obtained by the server are corresponding to the time slightly earlier.
Optionally, an ammeter data acquisition system is present in the optical storage station. Real-time power consumption can be obtained through the total surface of the transformer in the photovoltaic storage station accessed by the ammeter data acquisition system, and real-time power generation can be obtained through the intelligent ammeter accessed by the ammeter data acquisition system in the photovoltaic network cabinet. The server acquires real-time power consumption and real-time power generation from the ammeter data acquisition system through a network.
Step 240, determining the equivalent power based on the real-time power consumption, the real-time generated power and the first charging power sum.
The first charging power sum is a power sum required for charging the electric vehicle with the maximum charging power, the required urgency of which is not less than the threshold value. Optionally, after obtaining the required urgency of all the electric vehicles, the server ranks the electric vehicles, determines electric vehicles with the required urgency not smaller than a threshold, and calculates the sum of powers required for charging the electric vehicles of the above type with the maximum charging power. The threshold value corresponding to the emergency degree of the requirement may be set manually or may be set by a server, which is not limited in the embodiment of the present application.
The maximum charging power refers to the maximum value of the charging power that can be actually achieved by the electric vehicle. The maximum charging power of different electric vehicles may be the same or different. Optionally, for any electric vehicle, the maximum charging power P c Is the maximum value P of the charging power allowed by the electric automobile bms Maximum value P of output power allowed by charging pile connected with electric automobile pile And a minimum value therebetween. Namely P c ＝min{P bms ，P pile }。
Exemplary, the optical storage charging station includes: electric automobile a, electric automobile b, electric automobile c and electric automobile d, and the corresponding maximum charging power is respectively: p (P) c1 ，P c2 ，P c3 ，P c4 . An electric vehicle requiring an emergency degree not less than a threshold value includes: electric car a, electric car b, electric car c, then the first charging power sum=p c1 +P c2 +P c3 。
The equivalent power is the power that the optical storage station needs to draw from the grid without taking into account the stored energy in the optical storage station. The server obtains the real-time power P total Real-time power generation P solar First charging power sumAfter that, equivalent power->Wherein m is the total number of electric vehicles in the optical storage charging station, the emergency degree of which is not less than a threshold value, and m is a positive integer.
Step 250, determining a charging control strategy of the optical storage station according to the equivalent power.
Since the equivalent power is the power that the optical storage station needs to acquire from the power grid, in order to minimize the fluctuation of the power grid, the server determines a charging control strategy matched with the determined equivalent power according to the determined equivalent power.
Optionally, the steps 210 to 250 may be updated at preset time intervals, that is: the server re-prepares the charging control strategy of the light storage charging station by taking the preset time interval as a period. The preset time interval is, for example, 15 minutes. Alternatively, the steps 210 to 250 may be updated under the triggering of the manager, that is: after the manual setting update, the server re-prepares the charge control strategy of the optical storage station. Alternatively, the above steps 210 to 250 may be triggered by an event, which may be that the number of electric vehicles in the photo-storage charging station is higher than a first threshold, or lower than a second threshold, etc.
In summary, according to the method provided by the embodiment, the server obtains the real-time power consumption, the real-time power generation power and the charging requirement information of the electric vehicle of the optical storage charging station, so that the power (i.e. the equivalent power) required to be obtained from the power grid by the optical storage charging station under the condition that the energy storage in the optical storage charging station is not considered can be determined, and then the server can formulate a charging control strategy matched with the equivalent power according to the equivalent power, so that the charging control strategy can meet the optimization target of minimizing the fluctuation of the power grid, and the running safety of the power grid is improved.
Meanwhile, the method provided by the application does not depend on a charging demand prediction model, only real-time power consumption, real-time power generation and charging demand information of the electric automobile are required to be counted, and implementation difficulty is low.
In an alternative embodiment based on fig. 2, fig. 3 shows a flowchart of a method for controlling charging of an optical storage station according to an exemplary embodiment of the present application. In this embodiment, step 250 is alternatively implemented as step 251 and step 252:
step 210, obtaining charging demand information of the electric vehicle in the optical storage station.
Step 220, determining the emergency degree of the electric automobile according to the charging requirement information.
Wherein, the charging demand information may include: the expected departure time of the electric vehicle and the expected state of charge of the electric vehicle at the departure time. Accordingly, step 220 may include the sub-steps of:
s11, determining a first time length based on the expected state of charge of the electric automobile when the electric automobile is away, wherein the first time length is the time length required for reaching the expected state of charge of the electric automobile when the electric automobile is away.
Optionally, in addition to the charging demand information, the charging pile may also acquire battery information of the electric vehicle from a battery management system (Battery Management System, BMS) of the electric vehicle, including: battery capacity of an electric vehicle, maximum value of charge power allowed by the electric vehicle, and the like. Further, the server obtains the information from the charging pile.
The state of charge of the electric vehicle at the expected departure time can be recorded as SOC dep The state of charge of the electric automobile at the current moment can be recorded as SOC now The battery capacity of the electric automobile can be marked as W, and the maximum charging power can be marked as P c 。
The first time period may be denoted as T c ，T c ＝(SOC dep -SOC now )*W/P c 。
And S12, determining a second time length based on the expected departure time of the electric automobile, wherein the second time length is the time length from the current time to the expected departure time of the electric automobile.
The expected departure time of the electric vehicle can be recorded as t dep The current time can be denoted as t now 。
The second time period may be denoted as T left ，T left ＝t dep -t now 。
And S13, determining the quotient of the first time length and the second time length as the required emergency degree of the electric automobile.
The degree of urgency of demand can be noted as α, α=t c /T left 。
When alpha is more than or equal to 1, the electric automobile is required to start charging as soon as possible, and the charging requirement of a user can be met; when alpha is smaller than 1, the electric automobile can wait for a period of time to start charging, and the charging requirement of a user can be met.
Step 230, obtaining real-time electric power of the optical storage station and real-time electric power of the photovoltaic in the optical storage station.
Step 240, determining the equivalent power based on the real-time power consumption, the real-time generated power and the first charging power sum.
Step 251, determining the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power.
The reference power is a reference value for the power that the optical storage station needs to draw from the grid. The server acquires the equivalent power and the reference power, and determines the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power. The power utilization state types include: at least one of electricity consumption peak period, electricity consumption level peak period, electricity consumption valley period, and electricity generation peak period.
Optionally, the reference power is predicted by the server from the recorded data. The reference power determination method can refer to the following steps:
s21, recording data of each transformer in the optical storage station are acquired.
The recorded data includes, but is not limited to, at least one of: the geographic position coordinates of the optical storage charging stations and the photovoltaic scale is accessed under each transformer of the optical storage charging stations; the number, rated power and efficiency of the charging piles are connected under each transformer of the optical storage charging station; the energy storage capacity, the discharge power, the charging power and the maximum charge and discharge depth are accessed under each transformer of the optical storage station; the historical daily load curves of other loads are connected under each transformer of the optical storage charging station, and electricity load data with granularity of 15 minutes in at least one natural year is needed continuously; daily charge capacity historical data under each transformer of the optical storage charging station.
It can be understood that the above collection of recorded data can be performed on each item of data connected under the same transformer by taking the transformer as a unit.
S22, determining a first electricity total amount, a second electricity total amount and an electricity generation amount in the operation time based on the recorded data, wherein the first electricity total amount is the charging total amount of the electric vehicle in the photo-storage charging station, the second electricity total amount is the other electricity total amounts except the first electricity total amount in the photo-storage charging station, and the electricity generation amount is the electricity generation total amount of the photovoltaic in the photo-storage charging station.
Server deviceBased on the recorded data, the next day's data or load curve can be predicted, the predicted data including: during the operating time of the light storage charging station, the power curves of other loads except the charging pile and the total power consumption Q total (i.e., the second total amount of electricity used), the data of the power curve is of 15 minutes granularity; power curve and total power generation Q of photovoltaic power generation solar (i.e., power generation), the data of the power curve is 15 minutes of granularity; charging total electric quantity Q of electric automobile ev (i.e., a first total amount of electricity).
For example, when the operation time of the optical storage charging station is 06:00-the next day 0:00, the set of data collection points in the operation time is = {06:00, 06:15, 06:30 … 23:45,0:00}.
S23, determining the reference power based on the first electricity consumption total amount, the second electricity consumption total amount, the generated energy and the operation time.
The first total amount of electricity can be denoted as Q ev The second total amount of electricity can be denoted as Q total The power generation amount can be recorded as Q solar The operation time may be denoted as T.
The reference power can be denoted as P base ，P base ＝(Q total -Q solar +Q ev ) and/T. From the above formula, the reference power may represent the average power over the operating time of the optical storage station.
Step 252, determining a charging control strategy corresponding to the power utilization state type according to the power utilization state type.
The power utilization state types include: at least one of electricity consumption peak period, electricity consumption level peak period, electricity consumption valley period, and electricity generation peak period. In the embodiment of the present application, the power consumption state type and the charging control policy may be in a one-to-one relationship or a one-to-many relationship.
In summary, according to the method provided by the embodiment, the data of the next day can be predicted by recording the data, and the reference power is calculated according to the data of the next day, and can be used as the average power in the operation period of the optical storage station for comparison with the equivalent power, so that the electricity utilization state type at the current moment can be accurately judged, and an appropriate charging control strategy can be formulated according to the electricity utilization state type.
In an alternative embodiment based on fig. 3, the equivalent power is noted as P equ The reference power is recorded as P base Step 251 has several cases as follows:
1. the equivalent power is greater than the reference power, namely: p (P) equ >P base >0, the power utilization state type is power utilization peak period.
2. The equivalent power is equal to the reference power, namely: p (P) equ ＝P base >0, the power state type is the power peak period.
3. The equivalent power is smaller than the reference power, and the equivalent power is larger than 0, namely: 0 <P equ <P base The power usage state type is a power usage valley period.
4. Equivalent power is less than 0, namely: p (P) equ <0, the electricity consumption state type is the power generation peak period.
Next, for the above-described different power consumption state types, a charging control strategy corresponding to the power consumption state type will be exemplarily described.
1. The power usage status type is a power usage peak period.
1) Under the condition that the electricity utilization state type is the electricity utilization peak period and the energy storage of the light storage station meets the discharge condition, determining the charge control strategy as a first strategy, wherein the first strategy comprises: and starting charging with the maximum charging power for the electric automobile with the required emergency degree not smaller than the threshold value, and starting discharging by energy storage.
2) And under the condition that the electricity utilization state type is the electricity utilization peak period and the energy storage of the light storage station does not meet the discharge condition, determining the charge control strategy as a second strategy, wherein the second strategy comprises: and starting charging the electric automobile with the required emergency degree not smaller than the threshold value at the maximum charging power, and discharging and charging the stored energy.
Optionally, the discharge conditions of the stored energy are: energy storage current SOC > (1-depth of discharge).
Alternatively, the discharge power allowed by the stored energy can be denoted as P sdis When the stored energy starts to discharge, the actual discharge power=min { P } sdis ，(P equ -P base )}。
Illustratively, the first policy includes: when the electric vehicle belongs to the electricity utilization peak period, charging is started only for a charging pile connected with the electric vehicle with the required emergency degree alpha more than or equal to 1, and the charging power is the maximum charging power P c . At the same time, the stored energy is detected, if the current SOC of the stored energy is > (1-depth of discharge), the stored energy starts to discharge, and the discharge power=min { P } sdis ，(P equ -P base )}。
Illustratively, the second policy includes: when the electric vehicle belongs to the electricity utilization peak period, charging is started only for a charging pile connected with the electric vehicle with the required emergency degree alpha more than or equal to 1, and the charging power is the maximum charging power P c . At the same time, the stored energy is detected, if the stored energy is current SOC<= (1-depth of discharge), the stored energy is not discharged and not charged.
In summary, in the method provided in this embodiment, when the electricity consumption state type is the electricity consumption peak period, the charging service is only provided for the electric vehicle with a large emergency degree, and meanwhile, under the condition that the energy storage meets the discharging condition, the energy storage discharging is started, so that the electric quantity required to be obtained from the external power grid by the light storage charging station is reduced as much as possible, and the safe operation of the power grid is ensured.
2. The power consumption state type is a power consumption level peak period.
1) In the case where the power consumption state type is the power consumption level peak period, determining that the charge control strategy is a third strategy includes: and starting charging of the electric automobile with the required emergency degree not smaller than the threshold value at the maximum charging power, and not discharging and not charging the stored energy of the light storage charging station.
Illustratively, the third policy includes: when the electric vehicle belongs to the power consumption level peak period, charging is started only for a charging pile connected with the electric vehicle with the required emergency degree alpha more than or equal to 1, and the charging power is the maximum charging power P c And meanwhile, the energy storage is not discharged and not filled.
In summary, in the method provided in this embodiment, when the electricity consumption state type is the electricity consumption peak period, the charging service is only provided for the electric vehicle with a larger emergency degree, so as to reduce the electric quantity required to be obtained from the external power grid by the optical storage station as much as possible, and ensure the safe operation of the power grid.
3. The power usage state type is a power usage valley period.
1) In the case where the power usage state type is a power usage valley period, determining that the charge control policy is a fourth policy, the fourth policy including: pair i 1 The electric vehicle starts to charge, and the energy stored in the light storage charging station is not discharged or charged, i 1 Is a positive integer.
Wherein in the fourth strategy i 1 The electric automobile is the front i after being ordered from high to low according to the emergency degree of the requirement 1 An electric vehicle.
Optionally, the server may rank electric vehicles according to the required urgency, and rank EVs 1 ，EV 2 ，…，EVi 1 Co i 1 And charging the electric automobile.
Alternatively, i 1 The value of (2) needs to satisfy the following conditions: in a fourth strategy, the first power difference is greater than a second charge power sum, and the first power difference is less than a third charge power sum, the second charge power sum being i 1 Front i in electric vehicle 1 -1 sum of the power required for charging the electric vehicle with maximum charging power, the third sum of the charging powers being i 1 The power sum required by the electric vehicle to charge at the maximum charging power is the first power difference value, which is the difference value between the reference power and the equivalent power. Alternatively, i 1 Front i in electric vehicle 1 -1 charging power of electric vehicle is maximum charging power, ith 1 The charging power of the electric automobile is the difference between the first power difference and the sum of the second charging power.
Illustratively, the fourth policy includes: when the system belongs to the electricity consumption valley period, the server sorts i according to the emergency degree of the demands 1 Charging a vehicle electric vehicle, wherein i 1 The method meets the following conditions:wherein EV is 1 ，EV 2 ，…，EVi 1 -1 maximum charging power P achievable according to it c Charging, EVi 1 According to the power->Charging is carried out, and meanwhile, energy storage is not charged or discharged.
In summary, in the method provided in this embodiment, when the power consumption state type is the power consumption low-valley period, i is sorted according to the urgency of the requirement 1 The electric vehicle provides charging service to reduce the electric quantity required to be obtained from an external power grid by the optical storage station as much as possible, and ensure the safe operation of the power grid.
4. The electricity usage status type is the peak power generation time.
1) And determining that the charge control strategy is a fifth strategy when the power consumption state type is a power generation peak period, the second power difference value is larger than the first charging power sum, and the second power difference value is smaller than the fourth charging power sum, wherein the fifth strategy comprises: pair i 2 The electric vehicle starts to charge, and the energy stored in the light storage charging station is not discharged or charged, i 2 Is a positive integer.
2) And when the electricity utilization state type is a power generation peak period, the second power difference value is larger than the fourth charging power sum, and the stored energy of the photo-storage charging station meets the charging condition, determining that the charging control strategy is a sixth strategy, wherein the sixth strategy comprises: and starting and charging all the electric automobiles, and storing energy to start and charge.
3) And when the electricity utilization state type is a power generation peak period, the second power difference value is larger than the fourth charging power sum, and the energy storage of the photo-storage charging station does not meet the charging condition, determining the charging control strategy as a seventh strategy, wherein the seventh strategy comprises: and starting and charging all the electric automobiles, and discharging and charging the stored energy.
The fourth charging power sum is the power sum required by all electric vehicles in the optical storage station to charge with the maximum charging power, and the second power difference is the difference between the real-time generated power and the real-time used power; in a fifth strategy, i 2 The emergency degree of the electric automobile is increased from high to high according to the requirementLow ranked top i 2 An electric vehicle.
Optionally, the charging conditions of the stored energy are: energy storage current SOC < depth of charge.
Alternatively, the charge power allowed by the stored energy can be denoted as P scha When the energy storage starts to charge, where n is the total number of electric vehicles in the light storage charging station and n is a positive integer.
Optionally, the server may rank electric vehicles according to the required urgency, and rank EVs 1 ，EV 2 ，…，EVi 2 Co i 2 And charging the electric automobile.
Alternatively, i 2 The value of (2) needs to satisfy the following conditions: in a fifth strategy, the second power difference is greater than a fifth sum of charging powers, and the second power difference is less than a sixth sum of charging powers, the fifth sum of charging powers being i 2 Front i in electric vehicle 2 -1 sum of the power required for charging the electric vehicle with the maximum charging power, the sixth sum of the charging powers being i 2 The sum of the power required for charging the electric vehicle at the maximum charging power. Alternatively, i 2 Front i in electric vehicle 2 -1 charging power of electric vehicle is maximum charging power, ith 2 The charging power of the electric vehicle is the difference between the second power difference and the fifth charging power sum.
Illustratively, the fifth policy includes: when it belongs to the power generation peak periodm is the total number of electric vehicles with the required emergency degree in the light storage charging station not less than a threshold value, n is the total number of electric vehicles in the light storage charging station, m and n are positive integers, and the server orders i according to the required emergency degree 2 The electric vehicle of the vehicle is charged,wherein i is 2 The method meets the following conditions: />P total Is real-time power consumption, P solar Is real-time power. Wherein EV is 1 ，EV 2 ，…，EVi 2 -1 maximum achievable charging power P c Charging, EVi 2 According to the power->Charging is carried out, and meanwhile, energy storage is not charged or discharged.
Illustratively, the sixth policy includes: when it belongs to the power generation peak periodThe server starts charging all the charging piles connected with all the electric vehicles in the photo-electricity storage station, and the charging power is the maximum charging power P which can be realized c Meanwhile, the stored energy is detected, if the current SOC of the stored energy is smaller than the charging depth, the stored energy starts charging, and the charging power is +.>
Illustratively, the seventh policy includes: when it belongs to the power generation peak periodThe server starts charging all the charging piles connected with all the electric vehicles in the photo-electricity storage station, and the charging power is the maximum charging power P which can be realized c And detecting the stored energy at the same time, and if the current SOC of the stored energy is not less than the charging depth, the stored energy is not discharged and not charged.
In summary, in the method provided in this embodiment, when the power consumption state type is the power consumption peak period, the second power difference value is the difference value between the real-time generated power and the real-time used power, and the server may determine, according to the magnitude of the second power difference value, the number of electric vehicles that provide the charging service, and determine whether to charge the stored energy, so as to improve the utilization rate of the real-time generated power corresponding to the photovoltaic power generation.
Fig. 4 shows a flowchart of a method for controlling charging of an optical storage charging station according to an exemplary embodiment of the present application, which may be applied to the server shown in fig. 1, and the method includes the following steps:
in step 401, recording data is acquired.
The recorded data includes, but is not limited to, at least one of: the geographic position coordinates of the optical storage charging stations and the photovoltaic scale is accessed under each transformer of the optical storage charging stations; the number, rated power and efficiency of the charging piles are connected under each transformer of the optical storage charging station; the energy storage capacity, the discharge power, the charging power and the maximum charge and discharge depth are accessed under each transformer of the optical storage station; the historical daily load curves of other loads are connected under each transformer of the optical storage charging station, and electricity load data with granularity of 15 minutes in at least one natural year is needed continuously; daily charge capacity historical data under each transformer of the optical storage charging station.
Step 402, predicting each load curve and data of the next day.
The prediction data includes: during the operating time of the light storage charging station, the power curves of other loads except the charging pile and the total power consumption Q total The data of the power curve is 15 minutes of granularity level; power curve and total power generation Q of photovoltaic power generation solar The data of the power curve is 15 minutes of granularity level; charging total electric quantity Q of electric automobile ev 。
Step 403, calculating reference power P of the next day base 。
P base ＝(Q total -Q solar +Q ev )/T。
Step 404, collecting charging demand information.
The server collects charging demand information of all electric vehicles in the light storage charging station.
In step 405, the urgency of the demand is calculated and discharged.
And the server calculates the required urgency of each electric automobile according to the charging requirement information and sorts the electric automobiles according to the order from high to low.
Step 406, calculating the current equivalent power P equ 。
Equivalent powerWherein P is total Representing real-time power consumption; p (P) solar Representing real-time generation power; />The total power required for charging the electric vehicle with the maximum charging power is represented by the electric vehicle with the required emergency degree not less than the threshold value.
Step 407, judge P equ Whether or not less than 0.
If P equ Not less than 0, jump to step 408; if P equ Less than 0, the process proceeds to step 418.
Step 408, determine P equ Whether or not to equal P base 。
If P equ Is not equal to P base Then jump to step 409; if P equ Equal to P base Then the process jumps to step 416.
Step 409, determine P equ Whether or not it is greater than P base 。
If P equ Greater than P base Then jump to step 410; if P equ Not greater than P base Then the process jumps to step 414.
Step 410, determining that the current time belongs to a power utilization peak period.
Step 411, determining whether the stored energy satisfies a discharge condition.
Optionally, the discharge conditions of the stored energy are: energy storage current SOC > (1-depth of discharge).
If the stored energy satisfies the discharge condition, go to step 412; if the stored energy does not meet the discharge condition, the process goes to step 413.
At step 412, a first policy is determined.
The first strategy is referred to the above embodiments, and will not be described herein.
In step 413, a second policy is determined.
The second strategy is referred to the above embodiments, and will not be described here in detail.
Step 414, determining that the current time belongs to the electricity consumption valley period.
In step 415, a fourth policy is determined.
The fourth strategy is described in the above embodiments, and will not be described in detail herein.
Step 416, determining that the current time belongs to the useful level peak period.
In step 417, a third policy is determined.
The third strategy is described in the above embodiments, and will not be described in detail herein.
Step 418, determining that the current time belongs to a power generation peak period.
In step 419, it is determined whether there is still surplus power to meet all of the charging demands.
That is, judgment:whether or not it is. Wherein P is total Is real-time power consumption, P solar Is real-time power generation, < >>Is the sum of the power required for all electric vehicles in the light storage charging station to charge at maximum charging power.
If there is no surplus power, then go to step 420; if there is still excess power, the process jumps to step 421.
In step 420, a fifth policy is determined.
The fifth strategy is described in the above embodiments, and will not be described in detail herein.
Step 421, it is determined whether the stored energy satisfies the charging condition.
Optionally, the charging conditions of the stored energy are: energy storage current SOC < depth of charge.
If the stored energy satisfies the charging condition, go to step 422; if the stored energy does not meet the charging condition, go to step 423.
In step 422, a sixth policy is determined.
The sixth strategy is described in the above embodiments, and will not be described in detail herein.
In step 423, a seventh policy is determined.
The seventh strategy is described in the above embodiments, and will not be described in detail herein.
In summary, in the method provided in the embodiment, on the premise of ensuring that the charging requirement of the electric vehicle is satisfied, a charging control strategy with the power grid fluctuation minimized as an optimization target is provided. The method does not depend on a complex charging demand prediction model, can play a role in peak clipping and valley filling to a large extent, improves the running safety of the power grid, and is easy to implement and popularize.
Fig. 5 shows a block diagram of a charging control device of an optical storage charging station according to an exemplary embodiment of the present application, where the device includes: an acquisition module 501 and a determination module 502;
an obtaining module 501, configured to obtain charging demand information of an electric vehicle in an optical storage station;
the determining module 502 is configured to determine a required urgency of the electric vehicle according to the charging requirement information;
the acquisition module 501 is configured to acquire real-time electric power of the optical storage station and real-time power generation of photovoltaic in the optical storage station;
the determining module 502 is configured to determine an equivalent power based on the real-time electric power, the real-time generated power, and a first charging power sum, where the equivalent power is a power required by the optical storage station to be obtained from the power grid without considering energy storage in the optical storage station, and the first charging power sum is a power sum required by the electric vehicle with a required emergency degree not less than a threshold value to be charged with a maximum charging power;
the determining module 502 is configured to determine a charging control policy of the optical storage station according to the equivalent power.
In an optional embodiment, the determining module 502 is configured to determine, according to a relationship between the equivalent power and the reference power, a power consumption state type corresponding to the current time, where the power consumption state type includes: at least one of electricity consumption peak time, electricity consumption level peak time, electricity consumption valley time and electricity generation peak time, wherein the reference power is a reference value of power required to be obtained from a power grid by the optical storage station; the determining module 502 is configured to determine a charging control policy corresponding to the power consumption state type according to the power consumption state type.
In an optional embodiment, the determining module 502 is configured to determine that the type of power utilization state corresponding to the current moment is a power utilization peak period when the equivalent power is greater than the reference power; the determining module 502 is configured to determine, when the power consumption state type is a power consumption peak period and the stored energy of the optical storage station satisfies a discharge condition, that the charge control policy is a first policy, where the first policy includes: starting charging with the maximum charging power for the electric automobile with the required emergency degree not smaller than the threshold value, and starting discharging by energy storage; the determining module 502 is configured to determine, when the power consumption state type is a power consumption peak period and the energy storage of the optical storage station does not satisfy the discharge condition, that the charge control policy is a second policy, where the second policy includes: and starting charging the electric automobile with the required emergency degree not smaller than the threshold value at the maximum charging power, and discharging and charging the stored energy.
In an optional embodiment, the determining module 502 is configured to determine that the type of power utilization state corresponding to the current moment is a power utilization level peak period when the equivalent power is equal to the reference power; a determining module 502, configured to determine, in a case where the power consumption state type is a power consumption level peak period, that the charging control policy is a third policy, where the third policy includes: and starting charging of the electric automobile with the required emergency degree not smaller than the threshold value at the maximum charging power, and not discharging and not charging the stored energy of the light storage charging station.
In an optional embodiment, the determining module 502 is configured to determine that the type of power utilization state corresponding to the current moment is a power utilization valley period when the equivalent power is less than the reference power and the equivalent power is greater than 0; the determining module 502 is configured to determine, when the power consumption state type is a power consumption valley period, that the charging control policy is a fourth policy, where the fourth policy includes: pair i 1 The electric vehicle starts to charge, and the energy stored in the light storage charging station is not discharged or charged, i 1 Is a positive integer;wherein in the fourth strategy i 1 The electric automobile is the front i after being ordered from high to low according to the emergency degree of the requirement 1 An electric vehicle.
In an alternative embodiment, in a fourth strategy, the first power difference is greater than a second charge power sum, and the first power difference is less than a third charge power sum, the second charge power sum being i 1 Front i in electric vehicle 1 -1 sum of the power required for charging the electric vehicle with maximum charging power, the third sum of the charging powers being i 1 The power sum required by the vehicle electric automobile to charge with the maximum charging power is calculated, and the first power difference value is the difference value between the reference power and the equivalent power; i.e 1 Front i in electric vehicle 1 -1 charging power of electric vehicle is maximum charging power, ith 1 The charging power of the electric automobile is the difference between the first power difference and the sum of the second charging power.
In an optional embodiment, the determining module 502 is configured to determine that the type of the power utilization state corresponding to the current moment is a power generation peak period when the equivalent power is less than 0; the determining module 502 is configured to determine, when the power consumption state type is a power generation peak period, and the second power difference is greater than the first charging power sum, and the second power difference is less than the fourth charging power sum, that the charging control policy is a fifth policy, where the fifth policy includes: pair i 2 The electric vehicle starts to charge, and the energy stored in the light storage charging station is not discharged or charged, i 2 Is a positive integer; the determining module 502 is configured to determine, when the power consumption state type is a power generation peak period, the second power difference is greater than the fourth charging power sum, and the stored energy of the optical storage station satisfies a charging condition, that the charging control policy is a sixth policy, where the sixth policy includes: starting charging all electric automobiles, and starting charging by energy storage; the determining module 502 is configured to determine, when the power consumption state type is a power generation peak period, the second power difference is greater than the fourth charging power sum, and the stored energy of the optical storage station does not meet the charging condition, that the charging control policy is a seventh policy, where the seventh policy includes: starting and charging all electric vehicles Electricity is generated, and the stored energy is not discharged or charged; the fourth charging power sum is the power sum required by all electric vehicles in the optical storage station to charge with the maximum charging power, and the second power difference is the difference between the real-time generated power and the real-time used power; in a fifth strategy, i 2 The electric automobile is the front i after being ordered from high to low according to the emergency degree of the requirement 2 An electric vehicle.
In an alternative embodiment, in a fifth strategy, the second power difference is greater than a fifth sum of charging powers, and the second power difference is less than a sixth sum of charging powers, the fifth sum of charging powers being i 2 Front i in electric vehicle 2 -1 sum of the power required for charging the electric vehicle with the maximum charging power, the sixth sum of the charging powers being i 2 The power sum required by the electric vehicle to charge with the maximum charging power; i.e 2 Front i in electric vehicle 2 -1 charging power of electric vehicle is maximum charging power, ith 2 The charging power of the electric vehicle is the difference between the second power difference and the fifth charging power sum.
In an alternative embodiment, the charging demand information includes: the expected departure time of the electric automobile and the expected electric quantity state of the electric automobile; a determining module 502, configured to determine a first time period based on a desired state of charge of the electric vehicle when the electric vehicle is away, where the first time period is a time period required to reach the desired state of charge of the electric vehicle when the electric vehicle is away; a determining module 502, configured to determine a second duration based on the expected departure time of the electric vehicle, where the second duration is a duration when the current time is away from the expected departure time of the electric vehicle; the determining module 502 is configured to determine a quotient of the first duration and the second duration as a required urgency of the electric vehicle.
In an alternative embodiment, the acquiring module 501 is configured to acquire the record data of each transformer in the optical storage station; the determining module 502 is configured to determine, based on the recorded data, a first total amount of electricity, a second total amount of electricity, and an amount of electricity generated in the operation time, where the first total amount of electricity is a total amount of charge of the electric vehicle in the photo-storage charging station, the second total amount of electricity is a total amount of other electricity in the photo-storage charging station except the first total amount of electricity, and the amount of electricity generated is a total amount of electricity generated by the photovoltaic in the photo-storage charging station; the determining module 502 is configured to determine the reference power based on the first total amount of electricity, the second total amount of electricity, the generated energy, and the operation time.
The application also provides a server, which comprises a processor and a memory, wherein at least one instruction is stored in the memory, and the at least one instruction is loaded and executed by the processor to realize the charging control method of the light storage station provided by each method embodiment. It should be noted that the server may be a server as provided in fig. 6 below.
Referring to fig. 6, a schematic structural diagram of a server according to an exemplary embodiment of the present application is shown. Specifically, the present invention relates to a method for manufacturing a semiconductor device. The server 600 includes a central processing unit (CPU, central Processing unit) 601, a system Memory 604 including a random access Memory (RAM, random Access Memory) 602 and a Read-Only Memory (ROM) 603, and a system bus 605 connecting the system Memory 604 and the central processing unit 601. The server 600 also includes a basic Input/Output system (I/O) 606 for facilitating the transfer of information between the various devices within the computer, and a mass storage device 607 for storing an operating system 613, application programs 614, and other program modules 615.
The basic input/output system 606 includes a display 608 for displaying information and an input device 609, such as a mouse, keyboard, etc., for a user to input information. Wherein the display 608 and the input device 609 are connected to the central processing unit 601 through an input/output controller 610 connected to the system bus 605. The basic input/output system 606 may also include an input/output controller 610 for receiving and processing input from a number of other devices, such as a keyboard, mouse, or electronic stylus. Similarly, the input/output controller 610 also provides output to a display screen, a printer, or other type of output device.
The mass storage device 607 is connected to the central processing unit 601 through a mass storage controller (not shown) connected to the system bus 605. The mass storage device 607 and its associated computer-readable media provide non-volatile storage for the server 600. That is, the mass storage device 607 may include a computer readable medium (not shown) such as a hard disk or CD-ROM (Compact Disc Read-Only Memory) drive.
The computer readable medium may include computer storage media and communication media without loss of generality. Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes RAM, ROM, EPROM (Erasable Programmable Read-Only Memory), EEPROM (Electrically Erasable Programmable Read-Only Memory), flash Memory or other solid state Memory technology, CD-ROM, DVD (Digital Video Disc, high density digital video disc) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices. Of course, those skilled in the art will recognize that the computer storage medium is not limited to the one described above. The system memory 604 and mass storage device 607 described above may be collectively referred to as memory.
The server 600 may also operate via a network, such as the internet, connected to a remote computer on the network, according to various embodiments of the present application. I.e. the server 600 may be connected to the network 612 via a network interface unit 611 connected to the system bus 605, or alternatively, the network interface unit 611 may be used to connect to other types of networks or remote computer systems (not shown).
The memory further includes one or more programs stored in the memory, the one or more programs including steps executed by the server in the method for controlling charging of the optical storage station provided by the embodiments of the present application.
Embodiments of the present application also provide a computer readable medium storing at least one instruction that is loaded and executed by the processor to implement the method for controlling charging of an optical storage charging station according to the above embodiments.
Embodiments of the present application provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device performs the charging control method of the optical storage station provided in the above-mentioned alternative implementation manner.
Those skilled in the art will appreciate that in one or more of the examples described above, the functions described in the embodiments of the present application may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, these functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The foregoing description of the preferred embodiments is merely exemplary in nature and is not intended to limit the invention, but is intended to cover various modifications, substitutions, improvements, and alternatives falling within the spirit and principles of the invention.

Claims (9)

1. A method of controlling charging of an optical storage charging station, the method comprising:
acquiring charging demand information of the electric automobile in the light storage charging station;
determining the required emergency degree of the electric automobile according to the charging requirement information;
Acquiring real-time power consumption of the light storage charging station and real-time power generation of photovoltaic in the light storage charging station;
determining an equivalent power based on the real-time electric power, the real-time generated power and a first charging power sum, wherein the equivalent power is power required to be obtained from a power grid by the optical storage charging station without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum required by the electric automobile with the required emergency degree not less than a threshold value to charge with a maximum charging power;
acquiring record data of each transformer in the optical storage station; determining a first electricity total amount, a second electricity total amount and a generated energy in an operation time based on the recorded data, wherein the first electricity total amount is the charging total amount of the electric vehicle in the light storage charging station, the second electricity total amount is the other electricity total amount except the first electricity total amount in the light storage charging station, and the generated energy is the generated energy of the photovoltaic in the light storage charging station; determining a reference power based on the first total amount of electricity, the second total amount of electricity, the generated energy, and the operating time;
According to the relation between the equivalent power and the reference power, determining a power utilization state type corresponding to the current moment, wherein the power utilization state type comprises: at least one of electricity consumption peak time, electricity consumption level peak time, electricity consumption valley time and electricity generation peak time, wherein the reference power is a reference value of power required to be obtained from a power grid by the light storage station; determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type;
wherein the equivalent power is calculated according to the following formula:，/>for indicating said equivalent power,/->For indicating the real timeElectric power consumption, < >>For indicating the real-time generated power,for indicating said first sum of charging powers,/->The method comprises the steps that the maximum charging power is indicated, m is the total number of electric vehicles with the required emergency degree larger than a threshold value, and m is a positive integer;
the reference power is calculated according to the following formula:，/>for indicating said reference power,/or->For indicating said second total amount of electricity, < >>For indicating said power generation,/->For indicating said first total amount of electricity, +.>For indicating the operation time.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
The determining the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power comprises the following steps:
under the condition that the equivalent power is larger than the reference power, determining the power utilization state type corresponding to the current moment as the power utilization peak period;
the determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type comprises the following steps:
and under the condition that the electricity utilization state type is the electricity utilization peak period and the energy storage of the light storage charging station meets the discharging condition, determining the charging control strategy as a first strategy, wherein the first strategy comprises: starting charging of the electric automobile with the required emergency degree not smaller than a threshold value by using the maximum charging power, and starting discharging of the stored energy;
and determining that the charging control strategy is a second strategy under the condition that the electricity utilization state type is the electricity utilization peak period and the energy storage of the light storage charging station does not meet the discharging condition, wherein the second strategy comprises: and starting charging of the electric automobile with the required emergency degree not smaller than a threshold value by using the maximum charging power, wherein the stored energy is not discharged and is not charged.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power comprises the following steps:
under the condition that the equivalent power is equal to the reference power, determining that the power utilization state type corresponding to the current moment is the power utilization level peak period;
the determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type comprises the following steps:
and determining that the charging control strategy is a third strategy under the condition that the power utilization state type is the power utilization level peak period, wherein the third strategy comprises: and starting charging of the electric automobile with the required emergency degree not smaller than a threshold value by using the maximum charging power, and not discharging and not charging the stored energy of the light storage charging station.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power comprises the following steps:
determining that the type of the power utilization state corresponding to the current moment is the power utilization valley period under the condition that the equivalent power is smaller than the reference power and the equivalent power is larger than 0;
The determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type comprises the following steps:
and determining that the charging control strategy is a fourth strategy when the power utilization state type is the power utilization valley period, wherein the fourth strategy comprises: pair i 1 The electric automobile of the vehicle starts to charge, and the energy storage of the light storage charging station is not discharged or charged, i 1 Is a positive integer;
wherein in the fourth policy, the i 1 The electric automobile is the front i after being ordered from high to low according to the required urgency 1 An electric vehicle.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the determining the type of the power utilization state corresponding to the current moment according to the relation between the equivalent power and the reference power comprises the following steps:
under the condition that the equivalent power is smaller than 0, determining the type of the power utilization state corresponding to the current moment as the power generation peak time;
the determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type comprises the following steps:
and determining that the charge control strategy is a fifth strategy when the power consumption state type is the power generation peak time, the second power difference value is larger than the first charging power sum, and the second power difference value is smaller than a fourth charging power sum, wherein the fifth strategy comprises: pair i 2 The electric vehicle starts to charge, and the stored energy of the light storage charging station is not discharged or charged, the light storage charging stationi 2 Is a positive integer;
and determining that the charge control strategy is a sixth strategy when the electricity utilization state type is the electricity generation peak time, the second power difference value is larger than the fourth charging power sum, and the stored energy of the light storage charging station meets a charging condition, wherein the sixth strategy comprises: starting charging all electric automobiles, and starting charging the stored energy;
and determining that the charge control strategy is a seventh strategy when the electricity utilization state type is the electricity generation peak time, the second power difference value is larger than the fourth charging power sum, and the energy storage of the light storage charging station does not meet the charging condition, wherein the seventh strategy comprises: starting and charging all electric automobiles, wherein the stored energy is not discharged or charged;
the fourth charging power sum is the power sum required by all electric vehicles in the optical storage station to charge with the maximum charging power, and the second power difference is the difference between the real-time generated power and the real-time used power; in the fifth strategy, the i 2 The electric automobile is the front i after being ordered from high to low according to the required urgency 2 An electric vehicle.
6. The method according to any one of claims 1 to 5, wherein the charging demand information includes: the expected departure time of the electric automobile and the electric quantity state of the electric automobile at the expected departure time;
the determining the emergency degree of the electric automobile according to the charging requirement information comprises the following steps:
determining a first time period based on the expected state of charge of the electric vehicle when leaving, wherein the first time period is a time period required for reaching the expected state of charge of the electric vehicle when leaving;
determining a second duration based on the expected departure time of the electric automobile, wherein the second duration is the duration of the current time from the expected departure time of the electric automobile;
and determining the quotient of the first time length and the second time length as the required emergency degree of the electric automobile.
7. A charging control device for an optical storage charging station, the device comprising: an acquisition module and a determination module;
the acquisition module is used for acquiring the charging demand information of the electric automobile in the optical storage station;
The determining module is used for determining the required emergency degree of the electric automobile according to the charging requirement information;
the acquisition module is used for acquiring real-time power consumption of the optical storage charging station and real-time power generation of photovoltaic in the optical storage charging station;
the determining module is configured to determine an equivalent power based on the real-time electric power, the real-time generated power, and a first charging power sum, where the equivalent power is a power that the optical storage charging station needs to obtain from a power grid without considering energy storage in the optical storage charging station, and the first charging power sum is a power sum that is required by the electric vehicle with the required emergency degree not less than a threshold value to charge with a maximum charging power;
the acquisition module is used for acquiring the record data of each transformer in the optical storage station; the determining module is configured to determine, based on the record data, a first total amount of electricity, a second total amount of electricity, and an amount of electricity generated in an operation time, where the first total amount of electricity is a total amount of charge of an electric vehicle in the light storage charging station, the second total amount of electricity is a total amount of other electricity in the light storage charging station except the first total amount of electricity, and the amount of electricity generated is a total amount of electricity generated by photovoltaic in the light storage charging station; determining a reference power based on the first total amount of electricity, the second total amount of electricity, the generated energy, and the operating time;
The determining module is configured to determine, according to a relationship between the equivalent power and the reference power, an electricity utilization state type corresponding to a current time, where the electricity utilization state type includes: at least one of electricity consumption peak time, electricity consumption level peak time, electricity consumption valley time and electricity generation peak time, wherein the reference power is a reference value of power required to be obtained from a power grid by the light storage station; determining a charging control strategy corresponding to the electricity utilization state type according to the electricity utilization state type;
wherein the equivalent power is calculated according to the following formula:，/>for indicating said equivalent power,/->For indicating said real-time power consumption, +.>For indicating the real-time generated power,for indicating said first sum of charging powers,/->The method comprises the steps that the maximum charging power is indicated, m is the total number of electric vehicles with the required emergency degree larger than a threshold value, and m is a positive integer;
the reference power is calculated according to the following formula:，/>for indicating said reference power,/or->For indicating said second total amount of electricity, < >>For indicating said power generation,/->For indicating said first total amount of electricity, +.>For indicating the operation time.
8. A server, wherein the server comprises a processor and a memory; the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, the at least one program, the code set, or the instruction set is loaded and executed by the processor to implement the method for controlling charging of the optical storage charging station according to any one of claims 1 to 6.
9. A computer readable storage medium storing at least one instruction for execution by a processor to implement the method of charging control of an optical storage station according to any one of claims 1 to 6.
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