CN110936843A - Internet system of intelligent charging pile and management method - Google Patents
Internet system of intelligent charging pile and management method Download PDFInfo
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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
- B60L53/63—Monitoring or controlling charging stations in response to network capacity
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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
- B60L53/67—Controlling two or more charging stations
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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
- B60L53/68—Off-site monitoring or control, e.g. remote control
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- 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
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- 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
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- 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
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- 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
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- 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
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Abstract
The embodiment of the invention discloses an intelligent charging pile Internet system and a management method. The system comprises: the local area network terminal is used for constructing a local area network, collecting charge and discharge information and determining and executing a charge and discharge strategy, and comprises an intelligent charging pile; the metropolitan area network coordination center is used for constructing a metropolitan area network, monitoring and managing the charging and discharging conditions of the electric automobile in the local area network, and sending a charging and discharging scheduling instruction to the local area network terminal according to the charging and discharging information; and the wide area network coordination center is used for constructing a wide area network, monitoring and managing the charging and discharging conditions of the electric automobile in the metropolitan area network, and sending a monitoring early warning to the metropolitan area network coordination center according to the charging and discharging conditions of the electric automobile in the metropolitan area network. The system decomposes the complicated charge and discharge optimization problem into a plurality of optimization problems with lower calculation complexity, realizes the efficient coordination management of the charge and discharge of the electric automobile through the charge and discharge control of the intelligent charging pile, improves the calculation performance when solving the charge and discharge optimization problem, and ensures the safe and economic operation of the power grid.
Description
Technical Field
The invention relates to the field of energy management of electric vehicles, in particular to an intelligent charging pile Internet system and a management method.
Background
With the increasing severity of energy hazard and environmental pollution problems, the development of electric vehicles is a necessary choice in the low-carbon economic era. However, the large-scale electric vehicle unordered charging can seriously affect the stability of the power grid, and is mainly reflected in the aspects of power grid load peak value increase, power grid voltage reduction, power grid energy loss increase and the like. On the other hand, the electric automobile is different from the traditional load, not only consumes electric energy, but also can feed back the electric energy to the power grid in the periods of power utilization peak and the like, and the stable operation of the power grid and the power supply quality of residents are guaranteed.
Patent application No.: 201710077095.0, a centralized control method for grid-connected charging and discharging of large-scale electric vehicles is provided, but considering that the number of electric vehicles in the future may be very large, the speed of solving a corresponding optimization problem may be very slow due to a centralized control mode.
Disclosure of Invention
In view of the above, the invention provides an intelligent charging pile internet system and a management method, which can realize efficient coordination control on charging and discharging of an electric vehicle through charging and discharging control on an intelligent charging pile in a wide area range, and ensure safe and economic operation of a power grid.
In order to solve the technical problems, the invention adopts the following technical scheme:
in a first aspect, the present invention provides an intelligent charging pile internet system, including:
the local area network terminal is used for constructing a local area network, acquiring the charge and discharge information of the electric automobile, and determining and executing a charge and discharge strategy according to a charge and discharge scheduling instruction, and comprises an intelligent charging pile;
the metropolitan area network coordination center is used for constructing a metropolitan area network, monitoring and managing the charging and discharging conditions of the electric automobile in the subordinate local area network, and sending a charging and discharging scheduling instruction to the subordinate local area network terminal according to the charging and discharging information;
and the wide area network coordination center is used for constructing a wide area network, monitoring and managing the charging and discharging conditions of the electric automobile in the subordinate metropolitan area network, and sending a monitoring early warning to the metropolitan area network coordination center according to the charging and discharging conditions of the electric automobile in the subordinate metropolitan area network.
Further, in the system, the metropolitan area network coordination center includes a metropolitan area network, the metropolitan area network coordination centers communicate with each other to form a metropolitan area network, the wide area network coordination center includes a country-level coordination center and a provincial-level coordination center, the wide area network coordination centers communicate with each other to form a wide area network, the country-level coordination center is used for monitoring and managing charging and discharging conditions of provincial-level electric vehicles, the provincial-level coordination center is used for monitoring and managing charging and discharging conditions of the metropolitan-level electric vehicles, and the metropolitan-level coordination center is used for monitoring and managing charging and discharging conditions of the electric vehicles in the local area network.
Furthermore, in the system, the intelligent charging pile comprises a calculation module, and the charging and discharging behaviors of the electric vehicle connected with the intelligent charging pile are managed by the calculation module according to the charging and discharging scheduling instruction and a preset algorithm.
Further, in the system, the country-level coordination center includes a country-level database, a country-level data analysis platform and a country-level communication module, the provincial coordination center includes a provincial-level database, a provincial-level data analysis platform and a provincial-level communication module, and the city-level coordination center includes a city-level database, a city-level data analysis platform and a city-level communication module.
Furthermore, in the system, the national data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the provincial electric vehicle and judging whether monitoring and early warning occur or not;
the provincial level data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the urban level electric automobile and judging whether monitoring early warning occurs or not;
the urban data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the electric automobile in the local area network as charging and discharging information, obtaining a charging and discharging load prediction, and sending a charging and discharging scheduling instruction according to the charging and discharging load prediction and the power generation prediction.
Furthermore, in the system, the national database stores all the charging and discharging historical data of the electric vehicle, the historical operation data of the power grid and the existing knowledge experience and behavior criteria of the national coordination center, records the data through external perception, and increases or modifies the behavior criteria through learning;
the provincial database stores the charging and discharging historical data of the provincial electric vehicle, the provincial power grid historical operation data and the existing knowledge experience and behavior rules of the provincial coordination center, records the data through external perception, and increases or modifies the behavior rules through learning;
the city-level database stores historical charging and discharging data of the city-level electric automobile, historical operation data of a city-level power grid and existing knowledge experience and behavior rules of a city-level coordination center, records data through external perception, and increases or modifies the behavior rules through learning.
Further, in the system, the charge and discharge scheduling command includes one or more of peak clipping, valley filling, frequency control, renewable energy consumption and support for other lan terminals.
In a second aspect, the invention provides an intelligent charging pile internet system management method, which comprises the following steps:
the wide area network coordination center monitors the charge and discharge conditions of the electric automobile in the wide area network, and if the charge and discharge conditions are abnormal, the wide area network coordination center issues a monitoring early warning to the metropolitan area network coordination center;
the metropolitan area network coordination center obtains charge-discharge load prediction according to the monitoring early warning and charge-discharge information collected by the local area network terminal, and sends a charge-discharge scheduling instruction to the local area network terminal in combination with power generation prediction;
the local area network terminal acquires the charging demand of the electric automobile, and a charging and discharging strategy for managing the charging and discharging behaviors of the electric automobile connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instruction and the charging demand of the electric automobile;
and the intelligent charging pile executes the charging and discharging strategy, controls the charging process of the electric automobile connected with the intelligent charging pile and collects charging and discharging information.
Further, in the method, after a charging and discharging strategy for managing the charging and discharging behaviors of the electric vehicle connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instruction and the charging requirement of the electric vehicle, the method further includes:
and judging whether the charge-discharge strategy meets the voltage requirement of the power grid, if so, executing the charge-discharge strategy, and if not, re-formulating the charge-discharge strategy.
Further, in the method, the formulating a charging and discharging strategy for managing the charging and discharging behaviors of the electric vehicle connected with the intelligent charging pile according to the charging and discharging scheduling instruction and the charging requirement of the electric vehicle includes:
and when the intelligent charging pile is accessed by an electric automobile, acquiring the charging demand of the electric automobile and the charging and discharging information of other intelligent charging piles, and analyzing and formulating a charging and discharging strategy according to the charging and discharging scheduling instruction, the charging demand and the charging and discharging information of other intelligent charging piles through a pre-embedded algorithm.
The intelligent charging pile system decomposes the complicated charging and discharging optimization problem into a plurality of optimization problems with lower calculation complexity, can realize high-efficiency coordination control on charging and discharging of the electric automobile through charging and discharging control on the intelligent charging pile in a wide area range, improves the calculation performance when the charging and discharging optimization problem of the electric automobile is solved, and ensures safe and economic operation of a power grid.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only part of the embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an internet system of an intelligent charging pile according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of an intelligent charging pile provided in the second embodiment of the present invention;
fig. 3 is a flowchart of an internet management method for an intelligent charging pile according to a third embodiment of the present invention;
fig. 4 is a flowchart of an internet management method for an intelligent charging pile according to a fourth embodiment of the present invention;
fig. 5 is a sub-flowchart of an internet management method for an intelligent charging pile according to a fourth embodiment of the present invention.
Detailed Description
The technical solution in the implementation of the present application is described clearly and completely below with reference to the drawings in the embodiments of the present application. It is to be understood that the specific embodiments described herein are merely illustrative of some, and not restrictive, of the current application. It should be further noted that, based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without any creative effort belong to the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Furthermore, the terms "first," "second," and the like may be used herein to describe various orientations, actions, steps, elements, or the like, but the orientations, actions, steps, or elements are not limited by these terms. These terms are only used to distinguish one direction, action, step or element from another direction, action, step or element. For example, a first region could be termed a second region, and, similarly, a second region could be termed a first region, without departing from the scope of the present invention. The first region and the second region are both regions, but they are not the same region. The terms "first", "second", etc. are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. It should be noted that when one portion is referred to as being "secured to" another portion, it may be directly on the other portion or there may be an intervening portion. When a portion is said to be "connected" to another portion, it may be directly connected to the other portion or intervening portions may be present. The terms "vertical," "horizontal," "left," "right," and the like as used herein are for illustrative purposes only and do not denote a unique embodiment.
Before discussing exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the steps as a sequential process, many of the steps can be performed in parallel, concurrently or simultaneously. In addition, the order of the steps may be rearranged. A process may be terminated when its operations are completed, but may have additional steps not included in the figure. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc.
Example one
Referring to fig. 1, this embodiment provides an intelligent charging pile internet system, can realize the high-efficient coordinated control to electric automobile charge-discharge through the control of charging and discharging to intelligent charging pile in wide area range, has improved the calculation performance when solving electric automobile charge-discharge optimization problem, ensures the safe economic operation of electric wire netting.
Specifically, the system comprises:
the local area network terminal 30 is used for constructing a local area network, acquiring charging and discharging information of the electric vehicle, and determining and executing a charging and discharging strategy according to a charging and discharging scheduling instruction, and the local area network terminal 30 comprises an intelligent charging pile 301.
Local area network terminals 30 in a certain range can communicate with each other to form a local area network, the local area network covers a smaller range (within ten kilometers of a square circle) in geographic position, a central manager does not exist in the local area network, the local area network terminals 30 comprise intelligent charging piles 301, the positions of the intelligent charging piles 301 are equal to each other, and information exchange and communication of distributed calculation are carried out among the intelligent charging piles 301 according to an agreed protocol. When charging and discharging (for example, charging an electric vehicle), the intelligent charging pile 301 records corresponding data as charging and discharging information.
In some embodiments, in order to implement the distributed computing function of the intelligent charging pile 301, the intelligent charging pile includes a computing module, and the charging and discharging behaviors of the electric vehicle connected to the intelligent charging pile 301 are managed by the computing module according to the charging and discharging scheduling instruction and a pre-built algorithm. The calculation module can convert the complex electric vehicle charging and discharging scheduling problem into a plurality of optimization problems with low calculation complexity according to the received charging and discharging scheduling instruction and an algorithm which is set in the city-level coordination center in advance, and each intelligent charging pile 301 only needs to manage the accessed electric vehicle charging requirements (single-vehicle single-pile single-problem).
The metropolitan area network coordination center 20 is configured to construct a metropolitan area network, monitor and manage charging and discharging conditions of the electric vehicle in the subordinate local area network, and send a charging and discharging scheduling instruction to the subordinate local area network terminal 30 according to the charging and discharging information.
The metro network coordination centers 20 in another range can communicate with each other to form a metro network, the metro network covers a larger range (ten kilometers to one hundred kilometers in square circle) in geographic position, the metro network covers one or more local area networks, the metro network coordination center 20 is used as a manager in the metro network to monitor and manage the charging and discharging conditions of the electric vehicle in the local area network (through an intelligent charging pile), the future charging and discharging load conditions (charging and discharging load prediction) of the electric vehicle in the local area network (subordinate) under jurisdiction can be predicted according to the recorded charging and discharging information, and the electric energy resource (power generation prediction) received in the future by the local area network is predicted, wherein the electric energy resource received by the local area network is controlled by the power distribution network corresponding to the local area network, and the metro network coordination center 20 is further used for appointing a charging and discharging scheduling plan according to the obtained charging and discharging load prediction and power generation prediction and sending a corresponding charging and discharging scheduling instruction to the local .
The charging and discharging scheduling instructions comprise one or more of peak clipping and valley filling, frequency control, renewable energy consumption and support of other local area network terminals. According to the charging and discharging information and the power generation information in the region administered by the metropolitan area network coordination center, if the original load peak-valley difference does not meet the limiting requirement, the scheduling instruction is peak clipping and valley filling; otherwise, judging whether the bus frequency deviation meets the limiting requirement, and if so, taking the scheduling instruction as frequency control; otherwise, judging whether the net load peak-valley difference of the new energy power generation meets the limiting requirement, and if so, scheduling the command to consume the renewable energy; otherwise, judging whether other local area networks need to support, if so, scheduling the instruction to support other local area networks; otherwise, the scheduling command is peak clipping and valley filling.
The wide area network coordination center 10 is configured to construct a wide area network, monitor and manage charging and discharging conditions of electric vehicles in the subordinate metropolitan area network coordination center, and send a monitoring early warning to the metropolitan area network coordination center 20 according to the charging and discharging conditions of the electric vehicles in the subordinate metropolitan area network coordination center.
In another range, the wan coordination centers 10 may communicate with each other to form a wan, a wan (several thousand kilometers square) is located on a geographic position of a bonnet of the wan, the wan is covered with one or more metro networks, the wan coordination center 10 is used as a manager in the wan to count and monitor charging and discharging conditions of (subordinate) the metro coordination center 20 in jurisdiction, the whole wan is monitoring operation conditions of the whole power grid, and when the wan coordination center 10 monitors abnormal conditions (such as abnormal load of the power grid, communication failures between coordination centers at different levels and terminals), a monitoring and early warning may be sent to the metro coordination center 20.
In this embodiment, the local area network, the metropolitan area network, and the wide area network are all divided by the geographical hierarchy, because compared with a management system using an electric vehicle as a terminal, the intelligent charging pile serving as a management object in this embodiment is fixed according to construction information, which is convenient for statistics and division, and information interaction based on the intelligent charging pile is also simpler and more convenient (information interaction based on the electric vehicle is mainly wireless, signals are not easy to stabilize, and the cost is higher), and for convenience of division, the local area network, the metropolitan area network, and the wide area network are divided according to the provincial and municipal hierarchy which is divided according to the geographical hierarchy: the metropolitan area network coordination center 20 is an urban coordination center 201, the wide area network coordination center 10 includes a national coordination center 101 and a provincial coordination center 102, the metropolitan area network coordination centers 20 communicate with each other to form a metropolitan area network, the wide area network coordination centers 10 communicate with each other to form a wide area network, the national coordination center 101 is used for monitoring and managing the charging and discharging conditions of provincial electric vehicles, the provincial coordination center 102 is used for monitoring and managing the charging and discharging conditions of urban electric vehicles, and the urban coordination center 201 is used for monitoring and managing the charging and discharging conditions of local electric vehicles.
In the intelligent charging pile internet system provided by the embodiment, the complicated charging and discharging optimization problem is decomposed into a plurality of optimization problems with lower calculation complexity, and the optimization problems are calculated respectively by the intelligent charging piles, so that the efficient coordination management of charging and discharging of the electric automobile can be realized through the charging and discharging control of the intelligent charging piles in a wide area range, the calculation performance of the electric automobile in the process of solving the charging and discharging optimization problems is improved, the comprehensive charging and discharging information and the electric automobile charging information can provide the services of peak clipping, valley filling, frequency control, renewable energy consumption, support of other local area networks and the like, and the safe and economic operation of a power grid is guaranteed.
Example two
In this embodiment, specific structures of the country-level coordination center 101, the provincial-level coordination center 102, and the city-level coordination center 201 and specific structures of the intelligent charging pile are further explained on the basis of the first embodiment, specifically:
the national coordination center 101 comprises a national database, a national data analysis platform and a national communication module, the provincial coordination center 102 comprises a provincial database, a provincial data analysis platform and a provincial communication module, the urban coordination center 201 comprises a city database, a city data analysis platform and a city communication module, the city data analysis platform comprises a load prediction unit, a power generation prediction unit and a scheduling instruction selection unit, the load prediction unit is used for predicting future charging and discharging load conditions (charging and discharging load prediction) of electric vehicles in a local area network (subordinate) administered by the urban coordination center according to recorded charging and discharging information, the power generation prediction unit is used for predicting corresponding electric energy resources (power generation prediction) received in the future of the local area network, and the scheduling instruction selection unit is used for appointing a charging and discharging scheduling plan according to the obtained charging and discharging load prediction and power generation prediction and sending corresponding charging and discharging scheduling instructions to the local area network And a terminal 30.
The national database stores all the charging and discharging historical data of the electric automobile, the historical operation data of the power grid and the existing knowledge experience and behavior rules of the national coordination center, records the data through external perception, and increases or modifies the behavior rules through learning; the national level data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the provincial electric vehicle and judging whether monitoring early warning occurs or not; the country-level communication module is used for information exchange in the wide area network. The provincial database stores the charging and discharging historical data of the provincial electric vehicle, the provincial power grid historical operation data and the existing knowledge experience and behavior rules of the provincial coordination center, records the data through external perception, and increases or modifies the behavior rules through learning; the provincial level data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the urban level electric automobile and judging whether monitoring early warning occurs or not; the provincial communication module is used for information exchange in the wide area network and between the wide area network and the metropolitan area network. The city-level database stores the charging and discharging historical data of the city-level electric automobile, the historical operation data of the city-level power grid and the existing knowledge experience and behavior rules of the city-level coordination center, records the data through external perception, and increases or modifies the behavior rules through learning; the urban data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the electric automobile in the local area network as charging and discharging information, obtaining a charging and discharging load prediction and sending a charging and discharging scheduling instruction according to the charging and discharging load prediction and the power generation prediction; the city-level communication module is used for information exchange in the metropolitan area network and between the metropolitan area network and the local area network.
More specifically, in some embodiments, the intelligent charging piles 301 transmit information via wired communication technology (e.g., Ethernet, PLC, RS-485) or wireless communication technology (e.g., ZigBee, Cellular, Wi-Fi); the electric automobile and the intelligent charging pile are in information transmission through a CAN bus; and information transmission is carried out between the intelligent mobile terminal and the intelligent charging pile through Cellular and Wi-Fi. Information transmission is performed through optical fibers in the wide area network and the metropolitan area network. The communication networks of the local area network and the metropolitan area network are connected through a gateway.
In some embodiments, as shown in fig. 2, the smart charging pile 301 further includes a display screen 3011, a smart computing module 3012, a communication module 3013, a relay control module 3014, a charging circuit 3015, a metering meter 3016, and a data storage module 3017. An electric vehicle user sends a charging requirement, such as a battery capacity requirement and charging retention time, to the intelligent computing module 3012 through the intelligent mobile terminal, and the display screen 3011 is connected to the intelligent computing module 3012 through a system bus or a serial port communication mode; after the electric vehicle is connected to the intelligent charging pile 301, a battery energy management system (BMS) sends the current battery state to the intelligent computing module 3012 through a CAN communication module; the intelligent computing module 3012 receives a charging and discharging scheduling instruction and charging and discharging information of other intelligent charging piles 301 through the communication module 3013; the intelligent calculation module 3012 formulates a charging and discharging strategy of the accessed electric vehicle according to the charging and discharging scheduling instruction and an algorithm pre-placed in the city-level coordination center 201; the relay control module 3014 receives a control instruction of the intelligent calculation module 3012 to control the charging circuit 3015 to be turned on and off, so as to start and stop charging and discharging of the electric vehicle; in the charging and discharging process, the metering ammeter 3016 performs information interaction with the intelligent computing module 3012 through RS485 communication, and transmits electric energy information such as charging voltage, current, power and the like to the intelligent computing module 3012 for analysis and processing; the intelligent computing module 3012 may store the electric vehicle charging and discharging policy to the local data storage module 3017 through Zigbee communication; and transmits the updated charging and discharging information to other intelligent charging piles 301 in the local area network through the communication module 3013.
The embodiment provides an intelligent charging pile internet system, further provides concrete structures of a national level coordination center, a provincial level coordination center and a city level coordination center and concrete structures of an intelligent charging pile, and the system applies distributed computation to electric vehicle charging and discharging scheduling and decomposes a complex electric vehicle charging and discharging optimization problem into a plurality of optimization problems with low computation complexity. Each intelligent charging pile only needs to solve the charging and discharging problem (single-vehicle single-pile single-problem) of the connected electric vehicle, and efficient strategy execution is facilitated.
EXAMPLE III
Fig. 3 is a schematic flow chart of a method for managing an intelligent charging pile internet system according to a second embodiment of the present invention, where the method is based on an intelligent charging pile internet system using an intelligent charging pile as a terminal, and specifically includes:
step S401, the wide area network coordination center monitors the charge and discharge conditions of the electric automobile in the wide area network, and if the charge and discharge conditions are abnormal, the wide area network coordination center issues a monitoring early warning to the metropolitan area network coordination center.
The wide area network coordination center comprises a national level coordination center and a provincial level coordination center, the national level coordination center and the provincial level coordination center predict, monitor, count and analyze the charging and discharging conditions of the electric vehicle in the whole wide area network (charging and discharging information acquired by the intelligent charging pile), and if the conditions endangering the power grid safety or failing in communication are found, the specific fault information such as the position of the intelligent charging pile or the position of the metropolitan area coordination center is immediately judged and monitoring and early warning are sent to the corresponding program coordination center.
And S402, the metropolitan area network coordination center obtains charge and discharge load prediction according to the monitoring early warning and charge and discharge information acquired by the local area network terminal, and sends a charge and discharge scheduling instruction to the local area network terminal in combination with power generation prediction.
The metropolitan area network coordination center predicts the charging and discharging load according to the historical charging and discharging data and the current demand data of the electric vehicle in the subordinate local area network, determines which electric vehicle charging and discharging scheduling strategy is adopted by the local area network in the jurisdiction range by integrating the charging and discharging load prediction and the power generation prediction, and sends a scheduling instruction and power grid operation information to the local area network.
And S403, the local area network terminal acquires the charging requirement of the electric automobile, and a charging and discharging strategy for managing the charging and discharging behaviors of the electric automobile connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instruction and the charging requirement of the electric automobile.
In this embodiment, the local area network terminal is the intelligent charging pile, and after receiving the charging and discharging scheduling instruction sent by the metropolitan area network coordination center, the local area network terminal analyzes the charging and discharging scheduling instruction according to a pre-embedded algorithm by using a computing module in the intelligent charging pile to obtain a charging and discharging strategy adapted to the charging requirement of the electric vehicle connected to the intelligent charging pile.
And S404, the intelligent charging pile executes the charging and discharging strategy, controls the charging process of the electric automobile connected with the intelligent charging pile and collects charging and discharging information.
After the intelligent charging pile determines a charging and discharging strategy, the charging circuit is controlled by the corresponding relay control module to charge the electric automobile.
The embodiment provides a management method for an intelligent charging pile internet system, which applies distributed computation to electric vehicle charging and discharging scheduling and decomposes a complex electric vehicle charging and discharging optimization problem into a plurality of optimization problems with low computation complexity. Each intelligent charging pile only needs to solve the charging and discharging problem (single-vehicle single-pile single-problem) of the connected electric vehicle, and the strategy is favorably and efficiently executed; the management method based on the intelligent charging pile is more convenient to manage than the management method based on the electric automobile, and the algorithm for analyzing the charging and discharging scheduling instruction is pre-arranged in the intelligent charging pile, so that the requirement on the electric automobile is lower, and the management and control are easier; the charging and discharging scheduling is carried out under the supervision of a metropolitan area coordination center and a wide area coordination center, so that the economic and safe operation of the power grid is guaranteed.
Example four
Fig. 4 is a flowchart of a method for managing an internet system of an intelligent charging pile according to a third embodiment of the present invention, where the third embodiment further supplements a specific process of a part of the flow, and the method specifically includes:
step S501, the wide area network coordination center monitors the charge and discharge conditions of the electric automobile in the wide area network, and if the charge and discharge conditions are abnormal, the wide area network coordination center issues a monitoring early warning to the metropolitan area network coordination center.
And S502, the metropolitan area network coordination center obtains charge and discharge load prediction according to the monitoring early warning and charge and discharge information acquired by the local area network terminal, and sends a charge and discharge scheduling instruction to the local area network terminal in combination with power generation prediction.
Specifically, in step S502, the metropolitan area network coordination center may make different responses according to the monitoring and early warning, which specifically includes: judging whether the monitoring and early warning endangers the completeness of a power grid; if the power grid is endangered completely, a charge and discharge scheduling instruction for a metropolitan area network coordination center to which the monitoring and early warning belongs is re-formulated; and if the power grid is not endangered completely, sending a charging and discharging scheduling instruction to the local area network terminal according to the charging and discharging load prediction and the power generation prediction before monitoring and early warning.
Specifically, the charge and discharge scheduling instruction includes one or more of peak clipping, valley filling, frequency control, renewable energy consumption and support for other lan terminals, the metropolitan area network coordination center obtains charge and discharge load prediction according to the monitoring and early warning and the charge and discharge information acquired by the lan terminal, and sends the charge and discharge scheduling instruction to the lan terminal in combination with the power generation prediction, as shown in fig. 5, the charge and discharge scheduling instruction includes:
and S5021, obtaining charge and discharge load prediction and obtaining power generation prediction according to the monitoring early warning and charge and discharge information collected by the local area network terminal.
Step S5022, judging whether the original peak-valley difference meets the limit according to the charge-discharge load prediction, and if so, the charge-discharge scheduling instruction is peak clipping and valley filling.
And S5023, judging whether the frequency deviation meets the limit according to the charge and discharge load prediction and the power generation prediction, and if so, controlling the charge and discharge scheduling command to be frequency control.
And S5024, judging whether the net load peak-valley difference of the new energy power generation is limited or not according to the charge and discharge load prediction and the power generation prediction, and if so, the charge and discharge scheduling instruction is to consume renewable resources.
Step S5025, judging whether other local area network terminals need to support according to the charge and discharge load prediction, and if so, enabling the charge and discharge scheduling instruction to support the other local area network terminals.
And S503, the local area network terminal acquires the charging requirement of the electric automobile, and a charging and discharging strategy for managing the charging and discharging behaviors of the electric automobile connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instruction and the charging requirement of the electric automobile.
And step S504, judging whether the charge and discharge strategy meets the power grid voltage requirement.
The charging and discharging strategy obtained in the step S503 is formulated according to the charging and discharging scheduling instruction and the charging requirement of the electric vehicle, but the power grid has different voltage requirements under different conditions, and if the charging and discharging strategy does not meet the voltage requirement of the power grid, the safety of the power grid is easily endangered in the charging and discharging process of the electric vehicle according to the charging and discharging strategy. At this time, the charging and discharging strategy needs to be re-established.
And step S505, if the charge and discharge strategy cannot be established again.
And S506, if the charging and discharging strategy can be executed by the intelligent charging pile, controlling the charging process of the electric automobile connected with the intelligent charging pile and collecting charging and discharging information.
The embodiment further provides a selection process of the charging and discharging scheduling instruction and a judgment process of whether the charging and discharging strategy meets the voltage requirement of the power grid, the charging and discharging information and the charging requirement of the electric vehicle can be integrated to provide services such as peak clipping and valley filling, frequency control, renewable energy consumption, support of other local area networks and the like, the charging and discharging scheduling is carried out under the supervision of the wide area network coordination center and the metropolitan area network coordination center, and the economic and safe operation of the power grid is guaranteed.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. An intelligent charging pile internet system, comprising:
the local area network terminal is used for constructing a local area network, acquiring the charge and discharge information of the electric automobile, and determining and executing a charge and discharge strategy according to a charge and discharge scheduling instruction, and comprises an intelligent charging pile;
the metropolitan area network coordination center is used for constructing a metropolitan area network, monitoring and managing the charging and discharging conditions of the electric automobile in the subordinate local area network, and sending a charging and discharging scheduling instruction to the subordinate local area network terminal according to the charging and discharging information;
and the wide area network coordination center is used for constructing a wide area network, monitoring and managing the charging and discharging conditions of the electric automobile in the subordinate metropolitan area network, and sending a monitoring early warning to the metropolitan area network coordination center according to the charging and discharging conditions of the electric automobile in the subordinate metropolitan area network.
2. The system according to claim 1, wherein the metro network coordination center comprises a metro network coordination center, the metro network coordination centers communicate with each other to form a metro network, the wide area network coordination center comprises a country coordination center and a provincial coordination center, the wide area network coordination centers communicate with each other to form a wide area network, the country coordination center is used for monitoring and managing charging and discharging conditions of provincial electric vehicles, the provincial coordination center is used for monitoring and managing charging and discharging conditions of the city electric vehicles, and the city coordination center is used for monitoring and managing charging and discharging conditions of the electric vehicles in the local area network.
3. The system of claim 1, wherein the intelligent charging pile comprises a computing module, and the charging and discharging behaviors of the electric vehicle connected with the intelligent charging pile are managed by the computing module according to the charging and discharging scheduling instruction and a pre-built algorithm.
4. The system of claim 2, wherein the country-level coordination center comprises a country-level database, a country-level data analysis platform, and a country-level communication module, wherein the provincial coordination center comprises a provincial database, a provincial data analysis platform, and a provincial communication module, and wherein the city-level coordination center comprises a city-level database, a city-level data analysis platform, and a city-level communication module.
5. The system of claim 4, wherein:
the national level data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the provincial electric vehicle and judging whether monitoring early warning occurs or not;
the provincial level data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the urban level electric automobile and judging whether monitoring early warning occurs or not;
the urban data analysis platform is used for monitoring, counting and analyzing the charging and discharging conditions of the electric automobile in the local area network, obtaining the charging and discharging load prediction, and sending a charging and discharging scheduling instruction according to the charging and discharging load prediction and the power generation prediction.
6. The system of claim 4, wherein:
the national database stores all the charging and discharging historical data of the electric vehicle, the historical operation data of the power grid and the existing knowledge experience and behavior rules of the national coordination center, records the data through external perception, and increases or modifies the behavior criterion through learning;
the provincial database stores the charging and discharging historical data of the provincial electric vehicle, the provincial power grid historical operation data and the existing knowledge experience and behavior rules of the provincial coordination center, records the data through external perception, and increases or modifies the behavior rules through learning;
the city-level database stores historical charging and discharging data of the city-level electric automobile, historical operation data of a city-level power grid and existing knowledge experience and behavior rules of a city-level coordination center, records data through external perception, and increases or modifies the behavior rules through learning.
7. The system of claim 1, wherein the charge and discharge scheduling instructions include one or more of peak clipping, valley filling, frequency control, renewable energy consumption, and support for other local area network terminals.
8. An intelligent charging pile Internet system management method is characterized by comprising the following steps:
the wide area network coordination center monitors the charge and discharge conditions of the electric automobile in the wide area network, and if the charge and discharge conditions are abnormal, the wide area network coordination center issues a monitoring early warning to the metropolitan area network coordination center;
the metropolitan area network coordination center obtains charge-discharge load prediction according to the monitoring early warning and charge-discharge information collected by the local area network terminal, and sends a charge-discharge scheduling instruction to the local area network terminal in combination with power generation prediction;
the local area network terminal acquires the charging demand of the electric automobile, and a charging and discharging strategy for managing the charging and discharging behaviors of the electric automobile connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instruction and the charging demand of the electric automobile;
and the intelligent charging pile executes the charging and discharging strategy, controls the charging process of the electric automobile connected with the intelligent charging pile and collects charging and discharging information.
9. The method of claim 8, wherein a charging and discharging strategy for managing charging and discharging behaviors of the electric vehicle connected with the intelligent charging pile is formulated according to the charging and discharging scheduling instructions and the charging requirements of the electric vehicle, and further comprising:
and judging whether the charge-discharge strategy meets the voltage requirement of the power grid, if so, executing the charge-discharge strategy, and if not, re-formulating the charge-discharge strategy.
10. The method according to claim 8, wherein the metro network coordination center obtains a charge and discharge load prediction according to the monitoring and early warning and the charge and discharge information collected by the local area network terminal, and sends a charge and discharge scheduling instruction to the local area network terminal in combination with the power generation prediction comprises:
obtaining a charge and discharge load prediction and a power generation prediction according to the monitoring early warning and charge and discharge information acquired by the local area network terminal;
judging whether the original peak-valley difference meets the limit according to the charge-discharge load prediction, if so, taking the charge-discharge scheduling instruction as peak clipping and valley filling;
judging whether the frequency deviation meets the limit according to the charge-discharge load prediction and the power generation prediction, if so, taking the charge-discharge scheduling instruction as frequency control;
judging whether the net load peak-valley difference added into new energy power generation meets the limit or not according to the charge-discharge load prediction and the power generation prediction, and if so, taking the charge-discharge scheduling instruction as the renewable resource;
and judging whether other local area network terminals need to support or not according to the charge and discharge load prediction, if so, giving a charge and discharge scheduling instruction to support other local area network terminals.
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