CN112874373A - Ordered charging control method, system and medium based on charging station load scheduling - Google Patents

Ordered charging control method, system and medium based on charging station load scheduling Download PDF

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Publication number
CN112874373A
CN112874373A CN202110378740.9A CN202110378740A CN112874373A CN 112874373 A CN112874373 A CN 112874373A CN 202110378740 A CN202110378740 A CN 202110378740A CN 112874373 A CN112874373 A CN 112874373A
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charging
charging station
mode
time
station
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CN112874373B (en
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彭晋卿
肖之泱
罗正意
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Hunan University
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Hunan University
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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
    • B60L53/60—Monitoring or controlling charging stations
    • B60L53/63—Monitoring or controlling charging stations in response to network capacity
    • 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
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • 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
    • Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20—End-user application control systems
    • Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
    • 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
    • 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
    • Y04S30/14—Details associated with the interoperability, e.g. vehicle recognition, authentication, identification or billing

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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 invention relates to an ordered charging control method, a system and a medium based on charging station load scheduling, wherein the method comprises the following steps: firstly, according to a target charging amount and charging retention time required by a user side, combining the power supply condition and charging parameters of the current charging station to obtain the elasticity of charging time; secondly, selecting a corresponding charging mode based on the corresponding relation between the charging time elasticity and a preset charging mode; secondly, determining strategy information for controlling charging in the current charging station based on the solar energy scheduling information, the regional power distribution information and the charging mode matched with the current charging station; and finally, sending the strategy information to the user side, and charging according to the feedback information of the user side. By means of coordination control of each charging mode and different pricing, the problem that whether the power of the power distribution network exceeds the standard can be monitored statically at present, the power distribution network can be allocated uniformly, and corresponding problems cannot be made in real time according to user requirements is solved, and ordered charging of a charging unit and safe and economical operation of the power distribution network are achieved.

Description

Ordered charging control method, system and medium based on charging station load scheduling
Technical Field
The invention relates to the technical field of charging, in particular to an ordered charging control method, system and medium based on charging station load scheduling.
Background
At present, certain research is carried out in the field of control strategies for orderly charging of electric automobiles, but in the prior art, the purpose of improving load characteristics is achieved by carrying out unified coordination control on the arriving electric automobiles, the respective different specific charging requirements of electric automobile owners are not considered, and effective information communication with the owners is not achieved, so that the orderly charging cannot be well realized in practical application.
Meanwhile, various monitoring terminals are arranged on the power distribution network at the supply side to detect the ammeter information, but the power can only be statically known whether the power exceeds the standard, and the actual requirements of users are not considered.
Disclosure of Invention
Technical problem to be solved
In view of the above disadvantages and deficiencies of the prior art, the present invention provides an ordered charging control method, system and medium based on charging station load scheduling, which solves the technical problems that at present, only static monitoring can be performed to determine whether the power of a power distribution network exceeds the standard, and only uniform allocation can be performed, but corresponding responses cannot be made in real time according to different requirements of users.
(II) technical scheme
In order to achieve the purpose, the invention adopts the main technical scheme that:
in a first aspect, an embodiment of the present invention provides an ordered charging control method based on charging station load scheduling, including:
s1, obtaining charging time elasticity by combining the current charging station power supply condition and the charging station charging parameters according to the obtained target charging amount and charging stay time required by the user side;
s2, selecting a corresponding charging mode based on the corresponding relation between the charging time elasticity and the preset charging mode;
s3, determining strategy information for controlling charging in the current charging station based on the solar energy scheduling information, the regional power distribution information and the charging mode matched with the current charging station;
and S4, sending the strategy information to the user side, and charging according to the feedback information of the user side.
Optionally, step S1 includes:
s11, acquiring the target state of charge, the battery rated charge capacity and the battery residual charge capacity of the user side, and obtaining the target charge capacity as follows through the formula (1):
E＝SOC×Qe-Qs (1)
where E is the target charge level, SOC is the target state of charge, QeFor rated charge capacity, Q, of the batterysIs the battery residual charge capacity;
s12, obtaining rated charging power of the charging station according to the power supply condition of the current charging station and the charging parameters of the charging station, and obtaining the charging time as follows through a formula (2):
tc＝E/P (2)
wherein, tcFor the charging time, P is the rated charging power of the charging station;
s13, according to the charging stay time selected by the user and the calculated charging time, the elasticity of the charging time is obtained through a formula (3):
N＝tt/tc (3)
wherein N is the charging time flexibility, ttFor charging dwell time, tcIs the charging time.
Optionally, in step S2, based on the correspondence between the charging time flexibility and the preset charging mode, the method includes:
when the charging time elasticity meets the condition that N is less than or equal to 1, the charging mode is an urgent charging mode;
when the charging time elasticity meets 1< N < x, the charging mode is a conventional charging mode;
when the charging time elasticity meets the condition that N is more than or equal to x, the charging mode is a friendly charging mode;
wherein x is a high elastic point set according to the specific operation condition of the charging station, and x is more than or equal to 2.
Alternatively,
the urgent charging mode is to charge according to a first price standard;
the conventional charging mode is to charge according to the second price standard; the second price standard is the electricity price based on the current buying or production cost, and the second price standard is obtained by combining the first charging time elasticity and the first discount of the electric vehicle user, and the first discount is obtained by the formula (4):
K1＝1-[(N1-1)/(x-1)]×(1-K) (4)
wherein N is1For the first charging time flexibility, 1<N1<x，K1Is a first discount;
the friendly charging mode is to charge according to the third price standard; the third price standard is the first price standard multiplied by a discount coefficient, the discount coefficient is set according to the specific operation condition of the charging station, k is more than or equal to 0.3 and less than or equal to 0.8, and k is the discount coefficient;
the first price criterion > the second price criterion > the third price criterion.
Alternatively, the discount enjoyed by the user side with the target state of charge set below 100% is positively correlated with the vacant state of charge, which is 100% -SOC.
Optionally, the method further comprises a queue-insertion type charging mode, and when the charging station is in full-load operation and the charging time elasticity satisfies 0 < N ≦ 1, the charging mode is the queue-insertion type charging mode.
Optionally, step S3 includes:
s31, judging whether solar energy is accessed to the charging station or not based on the solar energy scheduling information matched with the current charging station;
s32a, when the solar power accessed by the current charging station is larger than 0, outputting the following strategy information: the charging mode with higher flexibility is supported by a friendly charging mode, a conventional charging mode, an urgent charging mode and an inter-team charging mode, and solar energy is used as a priority using target and is preferentially supplied to charging time;
s32b, when the solar power accessed by the current charging station is equal to 0, judging the electricity distribution amount of the charging station based on the regional electricity distribution information;
s33, when the power distribution amount for the charging station is less than the first threshold value, outputting the following policy information: supporting an urgent charging mode/a queue-insertion charging mode;
s34, when the charging station power consumption amount is not less than the first threshold, outputting the following policy information: a friendly charging mode/a conventional charging mode/an urgent charging mode/a team charging mode is supported.
Optionally, step S4 includes:
the charging station control system sends strategy information to the user side through the charging station mobile application platform, so that the user responds to the strategy information in effective time and sends feedback information at any time: and the charging station control system carries out charging according to the feedback information of the user side.
In a second aspect, an embodiment of the present invention provides an ordered charging control system based on charging station load scheduling, including a charging station operating system and a charging station mobile application platform;
the charging station operating system comprises a memory, a processor and an ordered charging control program based on charging station load scheduling, wherein the ordered charging control program is stored in the memory and can be run on the processor.
In a third aspect, embodiments of the present invention provide a computer-readable medium, on which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, the steps of the ordered charging control method based on charging station load scheduling described above are implemented.
(III) advantageous effects
The invention has the beneficial effects that: at present, a large number of charging units including electric vehicles are charged disorderly, and great pressure is brought to a regional power distribution network. In order to reduce the influence on a power distribution network under the condition of meeting the charging load requirement, the invention provides an ordered charging control method based on charging station load scheduling. By aiming at balancing the load of a power grid in a building area and preferentially using solar energy, the problems that whether the power of a power distribution network exceeds the standard or not can be only statically monitored and the power of the power distribution network can only be uniformly allocated at present but corresponding responses cannot be made according to different requirements of users in real time are effectively solved by changing the starting and stopping states and the power of each charging station and carrying out coordination control aiming at different pricing strategies, and the ordered charging of an electric automobile and the safe and economic operation of the power distribution network are realized.
Drawings
Fig. 1 is a schematic flow chart of an ordered charging control method based on charging station load scheduling according to the present invention;
fig. 2 is a detailed flowchart illustrating step S1 of the ordered charging control method based on the charging station load scheduling according to the present invention;
fig. 3 is a schematic diagram illustrating conversion of charging time elasticity and price relationship of an ordered charging control method based on charging station load scheduling according to the present invention;
fig. 4 is a detailed flowchart illustrating step S3 of the ordered charging control method based on the charging station load scheduling according to the present invention;
fig. 5 is a schematic flow chart of an electric vehicle charging and billing control method of the ordered charging control method based on charging station load scheduling provided by the invention.
Detailed Description
For the purpose of better explaining the present invention and to facilitate understanding, the present invention will be described in detail by way of specific embodiments with reference to the accompanying drawings.
An ordered charging control method based on charging station load scheduling provided by the embodiment of the present invention is shown in fig. 1, and includes: firstly, according to a target charging amount and charging retention time required by a user side, combining the power supply condition and charging parameters of the current charging station to obtain the elasticity of charging time; secondly, selecting a corresponding charging mode based on the corresponding relation between the charging time elasticity and a preset charging mode; secondly, determining strategy information for controlling charging in the current charging station based on the solar energy scheduling information, the regional power distribution information and the charging mode matched with the current charging station; and finally, sending the strategy information to the user side, and charging according to the feedback information of the user side.
At present, a large number of charging units including electric vehicles are charged disorderly, and great pressure is brought to a regional power distribution network. In order to reduce the influence on a power distribution network under the condition of meeting the charging load requirement, the invention provides an ordered charging control method based on charging station load scheduling. By aiming at balancing the load of a power grid in a building area and preferentially using solar energy, the problems that whether the power of a power distribution network exceeds the standard or not can be only statically monitored and the power of the power distribution network can only be uniformly allocated at present but corresponding responses cannot be made according to different requirements of users in real time are effectively solved by changing the starting and stopping states and the power of each charging station and carrying out coordination control aiming at different pricing strategies, and the ordered charging of an electric automobile and the safe and economic operation of the power distribution network are realized.
For a better understanding of the above-described technical solutions, exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the invention are shown in the drawings, it should be understood that the invention can be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Specifically, the invention discloses an ordered charging control method based on charging station load scheduling, which comprises the following steps:
and S1, obtaining the charging time elasticity by combining the current charging station power supply condition and the charging station charging parameters according to the acquired target charging amount and charging stay time required by the user side.
Fig. 2 is a detailed flowchart illustrating step S1 of the ordered charging control method based on charging station load scheduling according to the present invention, as shown in fig. 2, step S1 includes:
s11, acquiring a target state of charge, a battery rated charge capacity and a battery residual charge capacity input by a user side through the charging station mobile application platform, and obtaining a target charging quantity as follows through a formula (1):
E＝SOC×Qe-Qs (1)
where E is the target charge level, SOC is the target state of charge set by the user, QeFor rated charge capacity, Q, of the batterysThe remaining charge capacity of the battery.
S12, acquiring the power supply condition and charging parameters of the current charging station through the charging station mobile application platform, further obtaining the rated charging power of the charging station, and calculating the charging time according to the formula (2) as follows:
tc＝E/P (2)
wherein, tcFor the charging time, P is the rated charging power of the charging station.
S13, calculating the charging time elasticity as follows according to the charging staying time selected by the user and the calculated charging time by the formula (3):
n＝tt/tc (3)
wherein n is the charging time flexibility, ttFor charging dwell time, tcIs the charging time.
And S2, selecting a corresponding charging mode based on the corresponding relation between the charging time elasticity and the preset charging mode.
Wherein, according to the elasticity of charging time to divide into three kinds of different charge modes with user's charging selection: an urgent charging mode (including a team insertion mode), a conventional charging mode, and a friendly charging mode. The unit charge rates of the three charging modes are arranged from high to low, and users who set the SOC below 100% enjoy additional discount.
The corresponding relationship between the charging time elasticity and the preset charging mode is as follows:
when the charging time elasticity meets the condition that N is less than or equal to 1, the charging mode is an urgent charging mode;
when the charging time elasticity meets 1< N < x, the charging mode is a conventional charging mode;
when the charging time elasticity meets the condition that N is more than or equal to x, the charging mode is a friendly charging mode;
wherein x is a high elastic point set according to the specific operation condition of the charging station, and x is more than or equal to 2.
Fig. 3 is a schematic diagram illustrating conversion of charging time elasticity and price relationship of the ordered charging control method based on charging station load scheduling provided by the present invention, as shown in fig. 3, the abscissa is charging elasticity selected by an electric vehicle user of a charging station, and the ordinate is price relationship corresponding to charging elasticity in three modes, namely urgent mode, normal mode and friendly mode. The queue-type charging mode is not included in fig. 3 and price rewards with SOC below 100% set by the customer.
Further, the urgent charging mode is to charge according to a first price standard; the first price standard includes electricity prices of current purchase or production costs and service fees. The highest charging standard is here the charging standard without any discount.
The friendly charging mode is to charge according to the second price standard; the second price standard is the first price standard multiplied by a discount coefficient, the discount coefficient is set according to the specific operation condition of the charging station, k is more than or equal to 0.3 and less than or equal to 0.8, and k is the discount coefficient.
Charging in a conventional charging mode according to a third price standard; the third price standard is a floating electricity price based on the current buying or production cost, and is obtained by combining the first charging time elasticity and the first discount of the electric vehicle user, and the first discount is obtained by the formula (4):
K1＝1-[(N1-1)/(x-1)]×(1-K) (4)
wherein N is1For the first charging time flexibility, 1<N1<x，K1Is the first discount.
Further, the discount enjoyed by the user side with the target state of charge set to be less than 100% is positively correlated with the vacant state of charge, which is 100% -SOC.
Furthermore, the method also comprises a queue-inserting type charging mode, and when the charging station works in full load and the charging time elasticity meets 0 & lt N & lt 1, the charging mode is the queue-inserting type charging mode.
In an embodiment, when the charging load of the charging station is fully loaded and still has a certain charging capacity, there is a new entering electric vehicle owner who urgently needs to be charged and can accept a higher charging price, at this time, the charging station will suspend the charging behavior of the vehicle with greater charging elasticity and scheduling space, and then charge the newly entering electric vehicle. The charging time elasticity of the charging mode is less than or equal to 1, and the charging mode belongs to a special mode under the urgent charging mode and comprises the following steps: and a special mode that the charging load of the charging station is fully loaded and the queue-in charging is required. Its unit electricity price is higher than that in the urgent type charging mode.
And S3, determining strategy information for controlling charging in the current charging station based on the solar energy scheduling information, the regional power distribution information and the charging mode matched with the current charging station.
Fig. 4 is a detailed flowchart illustrating step S3 of the ordered charging control method based on charging station load scheduling according to the present invention, as shown in fig. 4, step S3 includes:
and S31, judging whether solar energy is accessed to the charging station or not based on the solar energy scheduling information matched with the current charging station.
S32a, when the solar power accessed by the current charging station is larger than 0, outputting the following strategy information: support friendly type charge mode/conventional type charge mode/urgent type charge mode/queue type charge mode, and use solar energy as the object of priority use and give priority to charge more flexible charge mode of time. The electricity price of solar energy is less than that of current buying or production costs.
The solar power that current charging station inserts does:
pc＝pt-py (5)
wherein p iscIs the solar power p accessed by a charging station within the range of a preset solar micro-gridtIs the actual power supply power p of the solar energy within the preset range of the solar energy micro-gridyIs a building except for a charging station within the range of a preset solar micro-gridUsing electric power.
And S32b, when the solar power accessed by the current charging station is equal to 0, judging the electricity distribution amount of the charging station based on the regional electricity distribution information. The area electricity distribution information includes the total amount of electricity used in the area, and the total amount of electricity used in the area is the charging station electricity distribution amount + electricity unit distribution amount + building electricity distribution amount.
S33, when the charging station power consumption amount is less than the first threshold value, outputting the following policy information: an urgent charging mode/queue-in type charging mode is supported. The occurrence of the area power consumption allocation amount being smaller than the first threshold value is represented as: in the case of load optimization without regulation, the regional power usage has reached substantially full load. At this time, the unit electricity price of the charging station is larger than the peak electricity price of the regional power grid, no discount is enjoyed, and the charging station is only applicable to the urgent charging mode by default.
In a specific embodiment of the present invention, the charging station depends on various building settings, and the charging station can access a plurality of electric vehicles at the same time, but when the power distribution amount of the charging station is less than the first threshold value, that is, when the power is highly intense, the charging station can only charge the electric vehicles in the emergency charging mode/inter-team charging mode, but when there is no adjustment room at all (that is, the power distribution amount of the power unit and the power distribution amount of the building occupy all the power consumption, and the power distribution amount of the charging station is 0), the charging station cannot charge in the emergency charging mode/inter-team charging mode. In this case, the charging station is an electric vehicle that can be switched into other charging modes, and the electric vehicle in these modes is not charged only temporarily.
S34, when the charging station power consumption distribution amount is not less than the first threshold value, outputting the following policy information: a friendly charging mode/a conventional charging mode/an urgent charging mode/a team charging mode is supported. The fact that the electricity distribution amount for the area is not less than the first threshold value is as follows: the generated energy of the distributed energy in the regional power grid is surplus to regional power utilization, and the power needs to be on line or abandoned. At the moment, when the friendly charging mode is selected by the electric automobile, the unit electricity price charging of the charging station is smaller than the unit electricity price charging of the solar energy; when the electric vehicle selects the conventional charging mode or the urgent charging mode, the user may temporarily change the new charging mode.
And S4, sending the strategy information to the user side, and charging according to the feedback information of the user side.
The charging station control system sends strategy information to the user side through the charging station mobile application platform, so that the user responds to the strategy information within effective time, the user with a selective space changes a charging mode, and particularly when a large amount of surplus of regional electric energy temporarily occurs, the charging is encouraged to be completed, and the set target SOC is lower than 100% of the user's change of the setting.
And the user responds to the strategy information through the charging station mobile application platform within the effective time, and selects to send a charging mode change request and a charging stop request to the charging station control system at any time.
The charging station control system collects basic information and vehicle information of a user and use experience feedback through a charging station mobile application platform, and then repeatedly performs optimization analysis on the electricity price charging strategy of the charging station by combining with currently analyzed data until a dynamic balance control strategy for achieving optimal user participation and operation income is finally given.
In an embodiment of the present invention, fig. 5 is a schematic flowchart of a charging and billing control method for an electric vehicle based on an ordered charging control method of charging station load scheduling, as shown in fig. 5, including the following steps:
first, the electric automobile inserts this charging gun of filling electric pile platform in order, and the user begins through sweeping the sign indicating number or the setting of customer end App charges. The charging station mobile application platform identifies whether the user is a registered user, if the user is a non-registered user, the user needs to register, and the information is filled into the user to optimize related personal and vehicle information for a later system; if the user is a registered user, the next step is carried out.
And secondly, the charging station mobile application platform collects data of charging amount and charging residence time input by an electric vehicle user, and calculates the charging time elasticity of the electric vehicle by combining the current regional power grid and the power supply condition of the charging pile system. The charging options for the user are divided into three different charging modes according to charging time flexibility: an urgent charging mode (including a team-in mode), a conventional charging mode, and a friendly charging mode. The unit charge rates of the three charging modes are arranged from high to low, and users who set the SOC below 100% enjoy additional discount.
And then, according to whether the solar energy is accessed in the current charging station in a certain scheduling time period in the future and the regional power utilization condition, if the solar energy is accessed, the electric automobile with the charging mode with higher flexibility is preferentially supplied, and the charging is carried out according to the low-cost solar charging standard. And analyzing a control strategy for accessing the charging pile at a scheduling time interval, and encouraging to improve the participation and the matching degree of the user through different pricing.
Then, during the charging session, the charging station mobile application platform sends a request to the user when the charging station unit price charging high price and the regional power consumption situation are temporarily and drastically changed, so that the user who has a selection space changes the charging mode, and particularly when a large amount of surplus of regional power temporarily occurs, the user who finishes charging is encouraged and the set target SOC is lower than 100% to change the setting. The electric vehicle user responds to the strategy information of the charging station operating system within the effective time, and sends a charging mode change request and a charging suspension request to the charging station at any time.
And finally, finishing charging, charging and ending the charging session.
In addition, the invention also provides an ordered charging control system based on charging station load scheduling, which comprises a charging station operating system and a charging station mobile application platform.
The charging station operating system comprises a memory, a processor and an ordered charging control program based on charging station load scheduling, wherein the ordered charging control program is stored in the memory and can be run on the processor.
Meanwhile, the invention provides a computer readable medium, on which computer executable instructions are stored, and when the executable instructions are executed by a processor, the steps of the ordered charging control method based on charging station load scheduling are realized.
In summary, the present invention provides a charging station load scheduling-based ordered charging control method, system and medium, in which a charging station operating system is used as a carrier, and a charging amount requirement and a charging retention time are obtained by performing real-time information interaction with an electric vehicle user end, so as to design three modes, namely an urgent charging mode (and a subdivided first urgent charging mode and a subdivided second urgent charging mode), a conventional charging mode and a friendly charging mode. And then, according to the regional power utilization condition, performing comprehensive calculation by combining the charging pile basic data and the data such as the information acquired by the user side, calculating schedulable load in the current time period, and optimizing and distributing the priority charging sequence of each electric vehicle.
The invention solves the problems that the charging power can only be uniformly and inelastically adjusted at present and the charging sequence cannot be optimized in real time through effective communication with a user side and the like, and realizes the ordered charging of the electric automobile and the safe and economic operation of a power distribution network.
Since the system/apparatus described in the above embodiments of the present invention is a system/apparatus used for implementing the method of the above embodiments of the present invention, a person skilled in the art can understand the specific structure and modification of the system/apparatus based on the method described in the above embodiments of the present invention, and thus the detailed description is omitted here. All systems/devices adopted by the methods of the above embodiments of the present invention are within the intended scope of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions.
It should be noted that in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third and the like are for convenience only and do not denote any order. These words are to be understood as part of the name of the component.
Furthermore, it should be noted that in the description of the present specification, the description of the term "one embodiment", "some embodiments", "examples", "specific examples" or "some examples", etc., means that a specific feature, structure, material or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
While preferred embodiments of the present invention have been described, additional variations and modifications in those embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, the claims should be construed to include preferred embodiments and all changes and modifications that fall within the scope of the invention.
It will be apparent to those skilled in the art that various modifications and variations can be made in the present invention without departing from the spirit or scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention should also include such modifications and variations.

Claims (10)

1. An ordered charging control method based on charging station load scheduling is characterized by comprising the following steps:
s1, obtaining charging time elasticity by combining the current charging station power supply condition and the charging station charging parameters according to the obtained target charging amount and charging stay time required by the user side;
s2, selecting a corresponding charging mode based on the corresponding relation between the charging time elasticity and the preset charging mode;
s3, determining strategy information for controlling charging in the current charging station based on the solar energy scheduling information, the regional power distribution information and the charging mode matched with the current charging station;
and S4, sending the strategy information to the user side, and charging according to the feedback information of the user side.
2. The ordered charging control method based on charging station load scheduling according to claim 1, wherein the step S1 includes:
s11, acquiring the target state of charge, the battery rated charge capacity and the battery residual charge capacity of the user side, and obtaining the target charge capacity as follows through the formula (1):
E＝SOC×Qe-Qs (1)
where E is the target charge level, SOC is the target state of charge, QeFor rated charge capacity, Q, of the batterysIs the battery residual charge capacity;
s12, obtaining rated charging power of the charging station according to the power supply condition of the current charging station and the charging parameters of the charging station, and obtaining the charging time as follows through a formula (2):
tc＝E/P (2)
wherein, tcFor the charging time, P is the rated charging power of the charging station;
s13, according to the charging stay time selected by the user and the calculated charging time, the elasticity of the charging time is obtained through a formula (3):
N＝tt/tc (3)
wherein N is the charging time flexibility, ttFor charging dwell time, tcIs the charging time.
3. The method as claimed in claim 2, wherein in step S2, the relation between the charging time flexibility and the predetermined charging mode is:
when the charging time elasticity meets the condition that N is less than or equal to 1, the charging mode is an urgent charging mode;
when the charging time elasticity meets 1< N < x, the charging mode is a conventional charging mode;
when the charging time elasticity meets the condition that N is more than or equal to x, the charging mode is a friendly charging mode;
wherein x is a high elastic point set according to the specific operation condition of the charging station, and x is more than or equal to 2.
4. The ordered charging control method based on charging station load scheduling according to claim 3,
the urgent charging mode is to charge according to a first price standard;
the conventional charging mode is to charge according to the second price standard; the second price standard is the electricity price based on the current buying or production cost, and the second price standard is obtained by combining the first charging time elasticity and the first discount of the electric vehicle user, and the first discount is obtained by the formula (4):
K1＝1-[(N1-1)/(x-1)]×(1-K) (4)
wherein N is1For the first charging time flexibility, 1<N1<x，K1Is a first discount;
the friendly charging mode is to charge according to the third price standard; the third price standard is the first price standard multiplied by a discount coefficient, the discount coefficient is set according to the specific operation condition of the charging station, k is more than or equal to 0.3 and less than or equal to 0.8, and k is the discount coefficient;
the first price criterion > the second price criterion > the third price criterion.
5. The ordered charging control method based on charging station load scheduling as claimed in claim 4, wherein the discount enjoyed by the user side with the target state of charge set below 100% is positively correlated with the vacant state of charge, which is 100% -SOC.
6. The ordered charging control method based on charging station load scheduling as claimed in claim 4, wherein the method further comprises a queue type charging mode, and when the charging station is in full-load operation and the charging time flexibility satisfies 0 < N ≦ 1, the charging mode is the queue type charging mode.
7. The ordered charging control method based on charging station load scheduling according to claim 6, wherein the step S3 comprises:
s31, judging whether solar energy is accessed to the charging station or not based on the solar energy scheduling information matched with the current charging station;
s32a, when the solar power accessed by the current charging station is larger than 0, outputting the following strategy information: the charging mode with higher flexibility is supported by a friendly charging mode, a conventional charging mode, an urgent charging mode and an inter-team charging mode, and solar energy is used as a priority using target and is preferentially supplied to charging time;
s32b, when the solar power accessed by the current charging station is equal to 0, judging the electricity distribution amount of the charging station based on the regional electricity distribution information;
s33, when the power distribution amount for the charging station is less than the first threshold value, outputting the following policy information: supporting an urgent charging mode/a queue-insertion charging mode;
s34, when the charging station power consumption amount is not less than the first threshold, outputting the following policy information: a friendly charging mode/a conventional charging mode/an urgent charging mode/a team charging mode is supported.
8. The ordered charging control method based on charging station load scheduling according to claim 7, wherein the step S4 includes:
the charging station control system sends strategy information to the user side through the charging station mobile application platform, so that the user responds to the strategy information in effective time and sends feedback information at any time: and the charging station control system carries out charging according to the feedback information of the user side.
9. An ordered charging control system based on charging station load scheduling is characterized by comprising a charging station operating system and a charging station mobile application platform;
the charging station operating system comprises a memory, a processor and an ordered charging control program based on charging station load scheduling, which is stored in the memory and can be run on the processor, wherein when the processor executes the program, the steps of the ordered charging control method based on charging station load scheduling according to any one of claims 1-8 are realized.
10. A computer-readable medium having stored thereon computer-executable instructions, which when executed by a processor, perform the method steps of the ordered charging control based on charging station load scheduling of any of claims 1-8.
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