WO2022193395A1 - Procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique - Google Patents

Procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique Download PDF

Info

Publication number
WO2022193395A1
WO2022193395A1 PCT/CN2021/088180 CN2021088180W WO2022193395A1 WO 2022193395 A1 WO2022193395 A1 WO 2022193395A1 CN 2021088180 W CN2021088180 W CN 2021088180W WO 2022193395 A1 WO2022193395 A1 WO 2022193395A1
Authority
WO
WIPO (PCT)
Prior art keywords
charging
electric vehicle
demand response
time
power
Prior art date
Application number
PCT/CN2021/088180
Other languages
English (en)
Chinese (zh)
Inventor
阎俏
李成栋
张桂青
田晨璐
Original Assignee
山东建筑大学
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 山东建筑大学 filed Critical 山东建筑大学
Publication of WO2022193395A1 publication Critical patent/WO2022193395A1/fr

Links

Images

Classifications

    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/63Monitoring or controlling charging stations in response to network capacity
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/66Data transfer between charging stations and vehicles
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60LPROPULSION 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
    • B60L53/00Methods of charging batteries, specially adapted for electric vehicles; Charging stations or on-board charging equipment therefor; Exchange of energy storage elements in electric vehicles
    • B60L53/60Monitoring or controlling charging stations
    • B60L53/68Off-site monitoring or control, e.g. remote control
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/003Load forecast, e.g. methods or systems for forecasting future load demand
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/24Arrangements for preventing or reducing oscillations of power in networks
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/70Energy storage systems for electromobility, e.g. batteries
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T10/00Road transport of goods or passengers
    • Y02T10/60Other road transportation technologies with climate change mitigation effect
    • Y02T10/7072Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/12Electric charging stations
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02TCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
    • Y02T90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02T90/10Technologies relating to charging of electric vehicles
    • Y02T90/16Information or communication technologies improving the operation of electric vehicles

Definitions

  • the present disclosure relates to the technical field of electric vehicle charging control, in particular to an orderly charging method based on charging piles under the condition of power demand response.
  • the new energy electric vehicle charging network has great contingency and unpredictability, which will increase the difficulty of power grid control; it will affect the safe, reliable and economical power supply of traditional distribution networks;
  • the existing charging strategy of electric vehicles is mainly the free charging mode.
  • the peak load of the grid will increase, the voltage offset and fluctuation will increase, and the power supply efficiency and economy will decrease.
  • the present disclosure provides an orderly charging method based on charging piles under the condition of power demand response, which satisfies the power demand response, improves the efficiency and economy of power supply of the power grid, and reduces the load of the power grid , reducing the fluctuation of the power grid, improving the safety and stability of the power supply, and playing a good role in peak shaving and valley filling.
  • a first aspect of the present disclosure provides an ordered charging system based on charging piles under the condition of power demand response.
  • An orderly charging system based on a charging pile under the condition of power demand response comprising: a charging pile, a charging and discharging controller, a circuit breaker and a charging and discharging management terminal, the charging pile is connected with the circuit breaker, and the charging and discharging controller is respectively connected with the charging pile and the charging and discharging management terminal.
  • circuit breaker communication connection ;
  • the charging and discharging management terminal is connected in communication with the charging and discharging controller.
  • the charging and discharging management terminal obtains the combination of charging sequences according to the parameter data of the electric vehicle and the predicted value of the responsive load, and performs orderly charging control according to the obtained combination of charging sequences.
  • a second aspect of the present disclosure provides an orderly charging method based on a charging pile under a power demand response condition.
  • An orderly charging method based on charging piles under the condition of power demand response including the following processes:
  • the combination of the charging sequence is obtained, and the orderly charging control is carried out according to the obtained combination of the charging sequence.
  • a density-based clustering method is used to cluster vehicle behavior and charging and discharging trips.
  • the responsive load of the electric vehicle is: The difference between the power of the electric vehicle and the minimum discharge power of the electric vehicle.
  • the responsive load of the electric vehicle is:
  • the first sequence is formed by incrementing the grid access time.
  • Electric cars stop charging charging at all times, according to The time increments to form the second sequence, is the off-grid time of the i-th electric vehicle, q i g is the user target power of the i electric vehicle, P i c is the charging power of the i-th electric vehicle, ⁇ is the charging efficiency of the electric vehicle, is the remaining power of the i-th electric vehicle when it is connected to the network during the demand response period;
  • the electric vehicle stops charging, and the electric vehicle stops charging after the end of the electric demand response.
  • Always charge according to The time increases to form the third charging sequence, is the off-grid time of the i-th electric vehicle, q i g is the user target power of the i electric vehicle, P i c is the charging power of the i-th electric vehicle, ⁇ is the charging efficiency of the electric vehicle, is the remaining power of the i-th electric vehicle when it is connected to the network during the demand response period;
  • the electric vehicle performs orderly charging control according to the sequence of the first charging sequence, the second charging sequence and the third charging sequence.
  • a third aspect of the present disclosure provides an ordered charging system based on charging piles under the condition of power demand response.
  • An orderly charging system based on charging piles under the condition of power demand response comprising:
  • the data acquisition module is configured to: acquire the parameter data of the electric vehicle and the charging pile;
  • a behavior classification module configured to: classify the vehicle usage and charging behaviors by using a density-based clustering method according to the obtained parameter data;
  • the load prediction module is configured to: predict the responsive load of the electric vehicle according to the classification result and the parameter data of the electric vehicle;
  • the charging control module is configured to: obtain a charging sequence combination according to the parameter data of the electric vehicle and the responsive load prediction value, and perform orderly charging control according to the obtained charging sequence combination.
  • a fourth aspect of the present disclosure provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, implements orderly charging based on charging piles under the power demand response condition described in the second aspect of the present disclosure steps in the method.
  • a fifth aspect of the present disclosure provides an electronic device, including a memory, a processor, and a program stored in the memory and executable on the processor, when the processor executes the program, the implementation is as described in the second aspect of the present disclosure Steps in a charging pile-based orderly charging method under the power demand response condition.
  • the method, system, medium or electronic device described in the present disclosure meets the power demand response, improves the efficiency of power supply and the economy of power supply, reduces the load of the power grid, reduces the fluctuation of the power grid, and improves the security and stability of the power supply It plays a very good role in cutting peaks and filling valleys.
  • the method, system, medium or electronic device described in the present disclosure obtains the charging and discharging behaviors and vehicle use behaviors of different types of electric vehicles, and then combines the different types of charging and discharging behaviors and vehicle use behaviors to divide the electric vehicles into For different categories, the available load of electric vehicles of different categories is finally calculated, which greatly improves the accuracy of the available load, and further improves the accuracy of orderly charging control.
  • FIG. 1 is a schematic structural diagram of an ordered charging system based on charging piles under the condition of power demand response provided by Embodiment 1 of the present disclosure.
  • Embodiment 1 of the present disclosure provides an orderly charging system based on charging piles under the condition of power demand response, including a power grid, a circuit breaker, a charging pile, a charging controller, an electric vehicle, and an electric vehicle charging management platform .
  • the management platform When the electric vehicle charging management platform receives the demand side response signal of the power grid, the management platform analyzes the load prediction value that the electric vehicle can respond to according to the value of the demand side response load of the power grid, and then the electric vehicle charging management platform controls the charging.
  • the controller sends charging or non-charging commands, and the circuit breaker is used to control the charging behavior of the electric vehicle.
  • the charging pile has the following capabilities:
  • the ability to collect electric vehicle charging behavior information includes the grid-connected time and off-grid time of the electric vehicle, the remaining power when connected to the charging pile, the current power, and the charging power of the electric vehicle. It has a display indicating unit that can display the running and charging state, and has functions such as overcurrent, short circuit, and leakage protection.
  • Two-way information transmission capability with the charging controller, transmits the collected information to the charging controller for data storage, and can accept the control signal sent by the charging controller to switch the electric vehicle charging circuit breaker.
  • the charge controller has the following capabilities:
  • the ability to carry out two-way transmission with the charging pile can accept the information collected by the charging pile, and have the ability to monitor and manage information data; can send electricity price adjustment, parameter setting and control instructions to the charging pile and other functions.
  • the electric vehicle charging management platform has the following capabilities:
  • the charging pile After the user connects the electric vehicle to the power grid, the charging pile will collect the user's on-grid, off-grid time, remaining power on the grid, and off-grid target power, and the charging controller will send this information to the EV charging management platform.
  • the electric vehicle During the time of connecting to the grid, the electric vehicle is in a dispatchable state, and its charging behavior is controlled by the electric vehicle charging management platform.
  • the electric vehicle charging management platform formulates an orderly charging strategy based on the power demand response of charging piles on the premise of ensuring that all vehicle charging tasks are completed on time.
  • Embodiment 2 of the present disclosure provides an orderly charging method based on charging piles under the condition of power demand response, including the following steps:
  • Step 1 Use a density-based clustering method (DBSCAN) to classify electric vehicle users' car usage and charging behavior.
  • DBSCAN density-based clustering method
  • Step 2 According to the clustering results and the relevant parameters of the electric vehicle, carry out the electric vehicle responsive load prediction calculation.
  • Step 3 According to the relevant parameters of the electric vehicle, the electric vehicle forms a charging sequence combination and charges in an orderly manner.
  • the density-based clustering method (DBSCAN) is used to cluster the user's vehicle behavior and charging and discharging behavior:
  • the start time of DR is The end time is t d o
  • the number of collection days is N 1 days.
  • the starting charging time of the i-th vehicle is The end of charging time is The time when the i-th electric vehicle is connected to the network time and departure time Time( and Calculation method, collect h time and min minutes, (or ) ).
  • Electric vehicles are classified as follows:
  • the median of the columns of the data matrix is used as the characteristics of the user's car behavior and charging and discharging behavior of the i-th car, and participates in the DBSCAN cluster analysis.
  • medium(x) represents the median of x.
  • D d The characteristic data of all cars in Zhou d is combined as D d to participate in the cluster analysis of DBSCAN, and D d is represented as follows:
  • DBSCAN input D d ;
  • DBSCAN output Classification of EV user vehicles and charging and discharging behavior.
  • the i-th electric car is The characteristic value of the remaining power when the time period is connected to the network is The characteristic value of the user's target electric quantity of the i-th electric vehicle is q i g , and the i-th electric vehicle is in The characteristic value of electricity at time is qi d , and the ith electric vehicle can respond to the load
  • the charging power P i c of the ith electric vehicle, the charging efficiency of the electric vehicle is ⁇
  • the time characteristic value of the departure time of the ith electric vehicle is According to clustering in The number of electric cars in the stage is n, and the ith electric car is in Charging time Then the following relationship is satisfied:
  • the load that electric vehicles can respond to is the predicted load that electric vehicles can respond to.
  • the loads that electric vehicles can respond to are:
  • the electric vehicle charge and discharge management platform input the variables of the electric vehicle, you can output in the Stage EVs can respond to predicted loads as follows:
  • electric vehicles are charged in sequence according to the order of D 1 , D 2 , D 3 and related requirements.
  • Embodiment 2 of the present disclosure provides an orderly charging system based on charging piles under the condition of power demand response, including:
  • the data acquisition module is configured to: acquire the parameter data of the electric vehicle and the charging pile;
  • a behavior classification module configured to: classify the vehicle usage and charging behaviors by using a density-based clustering method according to the obtained parameter data;
  • the load prediction module is configured to: predict the responsive load of the electric vehicle according to the classification result and the parameter data of the electric vehicle;
  • the charging control module is configured to: obtain a charging sequence combination according to the parameter data of the electric vehicle and the responsive load prediction value, and perform orderly charging control according to the obtained charging sequence combination.
  • the working method of the system is the same as the orderly charging method based on the charging pile under the power demand response condition provided in Embodiment 1, and will not be repeated here.
  • Embodiment 4 of the present disclosure provides a computer-readable storage medium on which a program is stored, and when the program is executed by a processor, realizes the orderly charging based on charging piles under the power demand response condition described in Embodiment 2 of the present disclosure steps in the method.
  • Embodiment 5 of the present disclosure provides an electronic device, including a memory, a processor, and a program stored in the memory and running on the processor.
  • the processor executes the program, the implementation is as described in Embodiment 2 of the present disclosure. Steps in a charging pile-based orderly charging method under the power demand response condition.
  • embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media having computer-usable program code embodied therein, including but not limited to disk storage, optical storage, and the like.
  • These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory result in an article of manufacture comprising instruction means, the instructions
  • the apparatus implements the functions specified in the flow or flow of the flowcharts and/or the block or blocks of the block diagrams.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (Read-Only Memory, ROM), or a random access memory (Random Access Memory, RAM) or the like.

Landscapes

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

Abstract

L'invention concerne un procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique. Un système de charge coordonnée basé sur le procédé de charge coordonnée comprend : une pile de charge, un dispositif de commande de charge/décharge, un disjoncteur et une borne de gestion de charge/décharge, la pile de charge étant reliée au disjoncteur, et le dispositif de commande de charge/décharge étant en liaison de communication avec la pile de charge et le disjoncteur ; et la borne de gestion de charge/décharge étant en liaison de communication avec le dispositif de commande de charge/décharge, et la borne de gestion de charge/décharge obtenant une combinaison de séquences de charge selon des données de paramètre et des valeurs de prédiction de charge réactive d'un véhicule électrique, et exécutant la commande d'une charge coordonnée selon la combinaison de séquences de charge obtenue. En conséquence, la réponse à la demande d'énergie électrique est satisfaite, l'efficacité d'alimentation électrique et l'économie d'alimentation électrique d'un réseau électrique sont améliorées, et une charge de réseau électrique est réduite, ce qui permet de réduire la fluctuation du réseau électrique, d'améliorer la sécurité et la stabilité de l'alimentation électrique fournie, et d'assurer un bon effet d'écrêtement des pointes et de remplissage des creux.
PCT/CN2021/088180 2021-03-17 2021-04-19 Procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique WO2022193395A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110286585.8 2021-03-17
CN202110286585.8A CN113022361B (zh) 2021-03-17 2021-03-17 电力需求响应条件下基于充电桩的有序充电方法

Publications (1)

Publication Number Publication Date
WO2022193395A1 true WO2022193395A1 (fr) 2022-09-22

Family

ID=76471151

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/088180 WO2022193395A1 (fr) 2021-03-17 2021-04-19 Procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique

Country Status (2)

Country Link
CN (1) CN113022361B (fr)
WO (1) WO2022193395A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116757877A (zh) * 2023-08-22 2023-09-15 国网山西省电力公司运城供电公司 新能源接入配电网的电网线损降损优化方法及系统
CN117374970A (zh) * 2023-11-23 2024-01-09 国网山东省电力公司东营供电公司 一种充电桩充电负载平衡调度方法
CN117639036A (zh) * 2023-11-21 2024-03-01 广东健电新能源科技有限公司 一种充电桩的充放电规划方法及系统

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114312384A (zh) * 2021-12-30 2022-04-12 南京邮电大学 一种多插头的电动汽车充电控制方法及系统

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4459489A (en) * 1982-09-30 1984-07-10 General Motors Corporation Generator load response control
CN103840521A (zh) * 2014-02-27 2014-06-04 武汉大学 基于最优潮流的大规模电动汽车优化充放电系统及方法
CN109849722A (zh) * 2019-01-21 2019-06-07 特斯联(北京)科技有限公司 基于云端优化匹配的电动汽车社区自动充电集群系统
CN110126665A (zh) * 2019-05-31 2019-08-16 上海电享信息科技有限公司 一种智能充电桩错峰充电方法及智能充电桩系统
CN110509788A (zh) * 2019-08-21 2019-11-29 三峡大学 深化调峰的电动汽车群组合优化充放电方法

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN201965459U (zh) * 2010-10-27 2011-09-07 国家电网公司 基于物联网的充换电监控系统
CN102208824B (zh) * 2011-06-03 2013-12-11 中国科学院电工研究所 一种电动汽车有序充电控制系统
FR3087899B1 (fr) * 2018-10-26 2021-01-15 Renault Sas Methode de charge d'une batterie d'accumulateurs par une borne de charge
CN112308389A (zh) * 2020-10-22 2021-02-02 黑龙江省电工仪器仪表工程技术研究中心有限公司 基于云计算的电动汽车有序充电调度系统及方法

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4459489A (en) * 1982-09-30 1984-07-10 General Motors Corporation Generator load response control
CN103840521A (zh) * 2014-02-27 2014-06-04 武汉大学 基于最优潮流的大规模电动汽车优化充放电系统及方法
CN109849722A (zh) * 2019-01-21 2019-06-07 特斯联(北京)科技有限公司 基于云端优化匹配的电动汽车社区自动充电集群系统
CN110126665A (zh) * 2019-05-31 2019-08-16 上海电享信息科技有限公司 一种智能充电桩错峰充电方法及智能充电桩系统
CN110509788A (zh) * 2019-08-21 2019-11-29 三峡大学 深化调峰的电动汽车群组合优化充放电方法

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116757877A (zh) * 2023-08-22 2023-09-15 国网山西省电力公司运城供电公司 新能源接入配电网的电网线损降损优化方法及系统
CN116757877B (zh) * 2023-08-22 2023-11-28 国网山西省电力公司运城供电公司 新能源接入配电网的电网线损降损优化方法及系统
CN117639036A (zh) * 2023-11-21 2024-03-01 广东健电新能源科技有限公司 一种充电桩的充放电规划方法及系统
CN117639036B (zh) * 2023-11-21 2024-04-26 广东健电新能源科技有限公司 一种充电桩的充放电规划方法及系统
CN117374970A (zh) * 2023-11-23 2024-01-09 国网山东省电力公司东营供电公司 一种充电桩充电负载平衡调度方法
CN117374970B (zh) * 2023-11-23 2024-04-26 国网山东省电力公司东营供电公司 一种充电桩充电负载平衡调度方法

Also Published As

Publication number Publication date
CN113022361B (zh) 2023-08-15
CN113022361A (zh) 2021-06-25

Similar Documents

Publication Publication Date Title
WO2022193395A1 (fr) Procédé de charge coordonnée basé sur une pile de charge dans un état de réponse à une demande d'énergie électrique
Zheng et al. A novel real-time scheduling strategy with near-linear complexity for integrating large-scale electric vehicles into smart grid
Tabari et al. An energy management strategy for a DC distribution system for power system integration of plug-in electric vehicles
CN103595107B (zh) 电动汽车充放电控制系统及方法
CN109217290B (zh) 计及电动汽车充放电的微网能量优化管理方法
CN103499792B (zh) 电动汽车动力电池集群可用容量的预测方法
CN107394802A (zh) 分布式储能参与自动发电控制的协调控制方法
WO2022252426A1 (fr) Procédé de détermination de l'aptitude à la commande d'un groupe de véhicules électriques, procédé et système de planification
CN108062619B (zh) 一种轨道车辆车地一体化容量配置方法及装置
CN103187750A (zh) 兆瓦级电池储能电站实时功率控制方法及其系统
CN109888927B (zh) 一种规模化储能集群充放电能力分析方法
WO2023010778A1 (fr) Procédé d'optimisation intelligente de charge intégrée pour véhicules électriques, et système associé
CN103997052A (zh) 一种多储能电站的有功功率控制的方法
CN113269372A (zh) 一种考虑用户意愿的集群电动汽车可调度容量预测评估方法
CN108964101B (zh) 一种v2b和v2g共存应用场景模型的构建方法及装置
CN115000985A (zh) 一种用户侧分布式储能设施聚合管控方法及系统
CN110829474B (zh) 用大数据智能储能支撑电网动态安全的方法与系统
CN110861508B (zh) 居民区直流充电机共享充电控制方法、系统及存储介质
CN110334903B (zh) 基于背包算法的电动汽车充电调度方法
Mou et al. A new approach to distributed charging control for plug-in hybrid electric vehicles
CN115238992B (zh) 一种电力系统源荷储的协调优化方法、装置及电子设备
CN110675044A (zh) 一种用于确定电动汽车参加辅助服务类型的方法及系统
CN105391060A (zh) 含微电网的配电网优化调度方法
CN113997822B (zh) 电动汽车有序充电管理系统及管理方法
CN113141020B (zh) 一种电动汽车虚拟储能参与调峰辅助服务控制方法及系统

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21930983

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 21930983

Country of ref document: EP

Kind code of ref document: A1