CN118024939A - V2G data analysis and scheduling platform and method based on power grid side - Google Patents

V2G data analysis and scheduling platform and method based on power grid side Download PDF

Info

Publication number
CN118024939A
CN118024939A CN202311797167.0A CN202311797167A CN118024939A CN 118024939 A CN118024939 A CN 118024939A CN 202311797167 A CN202311797167 A CN 202311797167A CN 118024939 A CN118024939 A CN 118024939A
Authority
CN
China
Prior art keywords
data
target
charge
platform
regulation
Prior art date
Legal status (The legal status 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 status listed.)
Pending
Application number
CN202311797167.0A
Other languages
Chinese (zh)
Inventor
李秉宇
刘杰
常征
杜旭浩
曾四鸣
李练兵
庞先海
李天辉
蔡子文
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
Original Assignee
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd
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 State Grid Corp of China SGCC, Electric Power Research Institute of State Grid Hebei Electric Power Co Ltd filed Critical State Grid Corp of China SGCC
Priority to CN202311797167.0A priority Critical patent/CN118024939A/en
Publication of CN118024939A publication Critical patent/CN118024939A/en
Pending legal-status Critical Current

Links

Classifications

    • 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
    • H02J3/007—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources
    • H02J3/0075—Arrangements for selectively connecting the load or loads to one or several among a plurality of power lines or power sources for providing alternative feeding paths between load and source according to economic or energy efficiency considerations, e.g. economic dispatch
    • 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
    • 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
    • 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
    • B60L55/00—Arrangements for supplying energy stored within a vehicle to a power network, i.e. vehicle-to-grid [V2G] arrangements
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
    • H02J13/00004—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by the power network being locally controlled
    • 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
    • H02J3/28—Arrangements for balancing of the load in a network by storage of energy
    • H02J3/32—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means
    • H02J3/322—Arrangements for balancing of the load in a network by storage of energy using batteries with converting means the battery being on-board an electric or hybrid vehicle, e.g. vehicle to grid arrangements [V2G], power aggregation, use of the battery for network load balancing, coordinated or cooperative battery charging
    • 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
    • H02J2300/00—Systems for supplying or distributing electric power characterised by decentralized, dispersed, or local generation
    • H02J2300/20—The dispersed energy generation being of renewable origin
    • H02J2300/22—The renewable source being solar energy
    • H02J2300/24—The renewable source being solar energy of photovoltaic origin

Landscapes

  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Health & Medical Sciences (AREA)
  • Marketing (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • Public Health (AREA)
  • Primary Health Care (AREA)
  • Water Supply & Treatment (AREA)
  • Development Economics (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention is applicable to the technical field of electric automobile charging, and provides a V2G data analysis and scheduling platform and method based on a power grid side, wherein the analysis and scheduling platform comprises the following components: the intelligent control system comprises a data acquisition terminal, a data analysis platform and an intelligent control unit; the data acquisition terminal is used for acquiring target data of the target platform area and transmitting the target data to the data analysis platform; the target platform area comprises a plurality of charging piles, and target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric automobile charged and discharged by the plurality of charging piles; the data analysis platform is used for analyzing the influence degree of the charge-discharge load of the electric automobile on the load of the power grid side based on the target data; the intelligent regulation and control unit is used for regulating and controlling the charging and discharging strategies of the plurality of charging piles based on the analysis result of the data analysis platform. According to the invention, the influence of charging and discharging of the electric automobile on the side load of the power grid is considered, and the applicability of the electric automobile in participating in V2G can be improved through a charging and discharging regulation strategy of the charging pile.

Description

V2G data analysis and scheduling platform and method based on power grid side
Technical Field
The invention belongs to the technical field of electric automobile charging, and particularly relates to a V2G data analysis and scheduling platform and method based on a power grid side.
Background
With the popularity of electric vehicles, V2G (Vehicle-to-Grid) technology has become increasingly important, which allows electric vehicles to feed back their stored electrical energy into the Grid, supplying additional power during peak hours, and thus balancing power demand and supply. The V2G is that the electric automobile can transmit power to a power grid system, and the intelligent power grid technology is used as a support, so that the bidirectional interaction between the power grid and the vehicle is realized. The electric automobile and the power grid are in bidirectional communication, and the electric automobile in a stopped state is used as a movable distributed energy storage unit, so that bidirectional energy flow (charge/discharge) between the electric automobile and the power grid is realized. However, there are some problems in the process of transmitting electric power to the power grid by the electric automobile, for example, the direct current charging and discharging devices with different powers may cause the power quality to be reduced when charging and discharging, so that the stability of the electric power system is affected and even other devices are damaged.
In V2G mode, the construction of charging infrastructure and grid load management are becoming increasingly important. However, most existing charging pile management systems pay attention to data on the charging pile side, analysis on a power system and the charging pile is not comprehensive enough, improvement effect on charging and discharging utilization rate of an electric automobile is poor, and effective management effect cannot be exerted.
Disclosure of Invention
In order to overcome the problems in the related art, the embodiment of the invention provides a V2G data analysis and scheduling platform and method based on a power grid side, so as to improve the applicability of the electric automobile in participating in V2G.
The invention is realized by the following technical scheme:
In a first aspect, an embodiment of the present invention provides a V2G data analysis and scheduling platform based on a power grid side, including: the intelligent control system comprises a data acquisition terminal, a data analysis platform and an intelligent control unit; the data acquisition terminal is used for acquiring target data of a target platform area and sending the target data to the data analysis platform; the target area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric automobile charged and discharged by the plurality of charging piles; the data analysis platform is used for analyzing the influence degree of the charge and discharge load of the electric automobile on the load of the power grid side based on the target data; and the intelligent regulation and control unit is used for regulating and controlling the charge and discharge strategies of the plurality of charge piles based on the analysis result of the data analysis platform.
With reference to the first aspect, in some embodiments, the data analysis platform includes a grid real-time analysis module; the power grid real-time analysis module is used for calculating the total load of the electric vehicle charging and discharging in a target period based on the target data; determining the real-time load of the target platform area based on the basic load of the target platform area in the target period and the total load of the electric vehicle charging and discharging; and determining the influence degree of the charge and discharge load of the electric automobile on the load on the power grid side based on the real-time load, a preset low load threshold and a preset heavy load threshold.
With reference to the first aspect, in some embodiments, the target data further includes temperature data of a charging pile side and a grid side; the data analysis platform further comprises a charge-discharge analysis module; the charge-discharge analysis module is used for calculating charge-discharge efficiency of the plurality of charge piles and charge-discharge efficiency of the electric vehicle based on the target data to obtain charge pile charge efficiency, charge pile discharge efficiency, electric vehicle charge efficiency and electric vehicle discharge efficiency of different temperatures, different charge-discharge powers and different charge-discharge SOC intervals.
With reference to the first aspect, in some embodiments, the grid real-time analysis module is further configured to: and analyzing the three-phase unbalance degree of the power grid side based on the target data, wherein the three-phase unbalance degree of the power grid side comprises the unbalance degree of the three-phase current of the power grid alternating current side and the unbalance degree of the three-phase voltage of the power grid alternating current side.
With reference to the first aspect, in some embodiments, the data analysis platform further includes an alarm management module, and the intelligent regulation unit includes a regulation analysis module and an instruction issuing module;
The alarm management module is used for generating a first alarm instruction and sending the first alarm instruction to the regulation analysis module when the real-time load of the target platform area is lower than the low load threshold or higher than the heavy load threshold, and the first alarm instruction is used for indicating the intelligent regulation unit to regulate and control the plurality of charging piles;
The regulation analysis module is used for generating a regulation strategy based on the first alarm instruction and the target data, generating a regulation instruction based on the regulation strategy and sending the regulation instruction to the instruction issuing module; the regulation strategy is used for determining target charge and discharge loads of the electric vehicles in each period of time in the target platform area and determining the quantity and charge and discharge states of the electric vehicles in the target platform area, which are involved in regulation and control; the instruction issuing module is used for analyzing the regulation and control instruction and issuing the regulation and control instruction to the data acquisition terminal; the data acquisition terminal is also used for executing the analyzed regulation and control instruction.
With reference to the first aspect, in some embodiments, the alarm management module is further configured to generate, when an alarm signal of a certain charging pile is received, a second alarm instruction and send the second alarm instruction to the regulation analysis module, where the alarm signal includes an alarm time, a platform alarm code of the charging pile, and an alarm reason of the charging pile, and the second alarm instruction is used to instruct the intelligent regulation unit to perform a control operation on the charging pile; the regulation analysis module is further used for generating a control instruction of the charging pile corresponding to the second alarm instruction according to the second alarm instruction and sending the control instruction to the instruction issuing module, wherein the control instruction comprises a power-off instruction and a restarting instruction; the instruction issuing module is further used for analyzing the control instruction and issuing the control instruction to the data acquisition terminal.
With reference to the first aspect, in some embodiments, the regulation analysis module is specifically configured to: establishing an objective function by taking the minimum standard deviation and the minimum peak-valley difference of the load fluctuation at the power grid side of the objective area as regulation targets; the objective function is:
F＝FT1+FT2
wherein F is the objective function, F T1 is the standard deviation objective function, and F T2 is the peak-valley difference objective function; p j is a basic power load value of the target platform area in the j period, P EV,j is a target charge-discharge load of the electric vehicle in the j period, T is the total period number, and the value of T is 24; p avg is the average value of the sum of the basic power load of the target platform area on the day before the current time and the charging and discharging load of the electric automobile, P EV,t is the basic power load of the target platform area on the day before the current time, and P t is the charging and discharging load of the electric automobile in the t period of the target platform area on the day before the current time;
and solving the objective function by adopting an optimization algorithm, determining the objective charge and discharge loads of the electric vehicles in each period in the objective area, and determining the quantity and charge and discharge states of the electric vehicles in the objective area, which are involved in regulation and control.
With reference to the first aspect, in some embodiments, the grid-side V2G data analysis and scheduling platform further includes a remote communication device; the remote communication device comprises a control center module and a remote transmission module; the control center module is used for receiving the target data sent by the data acquisition terminal and sending the target data to the remote transmission module; the remote transmission module is used for sending the received target data to the data analysis platform; the remote transmission module is further configured to receive the parsed regulation and control instruction issued by the instruction issuing module, and send the parsed regulation and control instruction to the control center module; the control center module is further used for sending the received analyzed regulation and control instruction to the data acquisition terminal.
With reference to the first aspect, in some embodiments, the data acquisition terminal includes an acquisition system, the acquisition system including an electrical energy acquisition module and a temperature and humidity acquisition module; the electric energy collection module is used for collecting direct current ammeter charge quantity, direct current ammeter discharge quantity, alternating current ammeter charge quantity, alternating current ammeter discharge quantity, direct current side voltage, alternating current side voltage, direct current side current, alternating current side current and charge and discharge power on the power grid side and the charging pile output side, and collecting charge and discharge SOC initial values, charge and discharge SOC end values, vehicle battery capacity and power factors of the electric automobile; and the temperature and humidity acquisition module is used for acquiring the temperature and humidity of the power grid side and the charging pile side.
In a second aspect, an embodiment of the present invention provides a V2G data analysis and scheduling method based on a power grid side, including: collecting target data of a target platform area and sending the target data to the data analysis platform; the target area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric automobile charged and discharged by the plurality of charging piles; based on the target data, analyzing the influence degree of the charge-discharge load of the electric automobile on the load of the power grid side; and regulating and controlling the charging and discharging strategies of the plurality of charging piles based on the influence degree of the charging and discharging load of the electric vehicle on the power grid side load.
Compared with the related art, the embodiment of the invention has the beneficial effects that:
The V2G data analysis and scheduling platform based on the power grid side provided by the embodiment of the invention comprises a data acquisition terminal, a data analysis platform and an intelligent regulation and control unit. The method comprises the steps of collecting target data of a target platform area through a data collecting terminal, and sending the target data to a data analysis platform; the target platform area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric vehicle charged and discharged by the plurality of charging piles. The data analysis platform can analyze the influence degree of the charge and discharge load of the electric automobile on the load of the power grid side based on the target data. The intelligent regulation and control unit can regulate and control the charge and discharge strategies of the plurality of charge piles based on the analysis result of the data analysis platform. Therefore, the influence of charging and discharging of the electric automobile on the load on the power grid side is considered in the V2G data analysis, and the charging and discharging of the charging pile are regulated and controlled according to the influence degree, so that the applicability of the electric automobile in participating in V2G can be improved, and meanwhile, the enthusiasm of the electric automobile user in participating in peak clipping and valley filling can be improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments or the related technical descriptions will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an application scenario of a V2G data analysis and scheduling platform based on a power grid side according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a V2G data analysis and scheduling platform based on a grid side according to an embodiment of the present invention;
Fig. 3 is a schematic structural diagram of a V2G data analysis and scheduling platform based on a grid side according to another embodiment of the present invention;
fig. 4 is a schematic structural diagram of a V2G data analysis and scheduling platform based on a grid side according to still another embodiment of the present invention;
Fig. 5 is a schematic structural diagram of a V2G data analysis and scheduling platform based on a grid side according to another embodiment of the present invention;
fig. 6 is a flow chart of a V2G data analysis and scheduling method based on a grid side according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth such as the particular system architecture, techniques, etc., in order to provide a thorough understanding of the embodiments of the present invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
Fig. 1 is an application scenario schematic diagram of a V2G data analysis and scheduling platform based on a power grid side according to an embodiment of the present invention. Referring to fig. 1, the application scenario includes a database, a data analysis platform, an intelligent regulation unit, a server platform, a cloud server, a transmission base station, NB-IoT (Narrow Band Internet of Things ) communication, and a plurality of charging stations, and for convenience of illustration, only two charging station models, namely, charging station 1 and charging station N, are shown in fig. 1. Each charging station at least comprises a charging station control center and a plurality of charging piles, and each charging pile and the charging station control center are in communication transmission through a CAN (Controller Area Network ) bus. It is understood that the plurality of charging stations may be all charging stations in the same area, or may be all charging stations in a plurality of areas. The data analysis platform and the intelligent regulation unit are both functional modules in the V2G data analysis and dispatch platform based on the power grid side, and when the data analysis platform analyzes, a certain platform area is usually taken as an analysis object, namely, the data of the charging piles in the certain platform area are analyzed to judge whether the charging piles in the platform area need to be dispatched and regulated or not. The server platform is a Web server (network server), and can acquire data of the cloud server from a local computer.
In the application scenario, the data acquisition terminal in the V2G data analysis and scheduling platform based on the power grid side can be arranged on the power grid side and the charging pile output side, so that the related monitoring data of the charging pile side and the power grid side are acquired. And then, transmitting the relevant monitoring data from the charging pile side to a charging station control center through a CAN bus, and collecting the relevant monitoring data sent by each charging pile in the same charging station through the charging station control center. And then, the collected relevant monitoring data is transmitted to a transmission base station through NB-IoT communication, and then is transmitted to a cloud server through the transmission base station, the cloud server can conduct arrangement and encryption processing on the received relevant monitoring data, and the processed data is transmitted to a server platform. The data analysis platform can acquire the related data of the charging piles in the target platform area from the database and the server platform, and judge whether the charging piles in the target platform area need to be scheduled or not through operation analysis. When the charging piles of the target area are judged to be required to be scheduled, the data analysis platform can transmit relevant data of the target area to the intelligent regulation and control unit, and the intelligent regulation and control unit generates a regulation and control strategy and a regulation and control instruction corresponding to the regulation and control strategy based on the regulation and control target and the relevant data. And then, the intelligent regulation and control unit transmits the regulation and control instruction to the cloud server through the server platform, then transmits the regulation and control instruction to a corresponding charging station control center through the transmission base station and NB-IoT communication, and the charging station control center transmits the regulation and control instruction to a charging pile needing regulation and control operation, so that the dispatching regulation and control of the charging pile in the target platform area is realized, and the applicability of the electric automobile in participating in V2G is improved.
Fig. 2 is a schematic structural diagram of a V2G data analysis and dispatch platform based on a power grid side according to an embodiment of the present invention, and referring to fig. 2, the details of the V2G data analysis and dispatch platform based on the power grid side are as follows:
as shown in fig. 2, the V2G data analysis and dispatch platform 200 on the grid side may include at least a data acquisition terminal 210, a data analysis platform 220, and an intelligent regulation unit 230.
The data acquisition terminal 210 is configured to acquire target data of a target area and send the target data to the data analysis platform 220; the target platform area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric vehicle charged and discharged by the plurality of charging piles.
The data analysis platform 220 is configured to analyze, based on the target data, a degree of influence of the charge-discharge load of the electric vehicle on the grid-side load.
The intelligent regulation and control unit 230 is configured to regulate and control the charging and discharging strategies of the plurality of charging piles based on the analysis result of the data analysis platform 220.
It can be understood that the electric vehicle charged and discharged by the plurality of charging piles refers to an electric vehicle participating in the V2G mode in the target station area. The plurality of charging piles within the target area may be distributed among a plurality of charging stations.
In some embodiments, referring to fig. 3, the data acquisition terminal 210 may include an acquisition system 310. The acquisition system 310 comprises an electric energy acquisition module 311 and a temperature and humidity acquisition module 312. The data analysis platform 220 may include a grid real-time analysis module 221, a charge-discharge analysis module 222, and an alarm management module 223. The intelligent regulation unit 230 may include a regulation analysis module 231 and a command issuing module 232.
The electric energy collection module 311 may be configured to collect a direct current meter charge amount, a direct current meter discharge amount, an alternating current meter charge amount, an alternating current meter discharge amount, a direct current side voltage, an alternating current side voltage, a direct current side current, an alternating current side current, and a charge/discharge power on the grid side and the charging pile output side, and collect a charge/discharge SOC initial value, a charge/discharge SOC end value, a vehicle battery capacity, and a power factor of the electric vehicle.
The electric energy collection module 311 may be further configured to collect the collected target data into message data, so as to perform data transmission.
The temperature and humidity acquisition module 312 may be used to acquire the temperature and humidity of the grid side and the charging pile side.
In the embodiment of the present invention, the temperature data and the humidity data acquired by the temperature and humidity acquisition module 312 can be used for the charge and discharge analysis of the charge pile and the electric vehicle, so as to obtain the charge and discharge conditions under different temperatures or different humidity environments. In addition, the temperature data and the humidity data collected by the temperature and humidity collection module 312 can also be used for detecting the line states of the charging pile and the power grid side, so as to prevent the lines of the charging pile and the power grid side from being damaged due to overhigh temperature or overhigh humidity.
In some embodiments, the power grid real-time analysis module 221 may be configured to calculate a total load of charging and discharging of the electric vehicle during the target period based on the target data; determining the real-time load of the target platform area based on the basic load of the target platform area in a target period and the total charge and discharge load of the electric vehicle; and determining the influence degree of the charge-discharge load of the electric automobile on the load on the power grid side based on the real-time load, a preset low-load threshold and a preset heavy-load threshold.
The alarm management module 223 may be configured to generate a first alarm instruction when the real-time load of the target platform area is lower than the low load threshold or higher than the heavy load threshold, and send the first alarm instruction to the regulation analysis module, where the first alarm instruction is used to instruct the intelligent regulation unit 230 to regulate the plurality of charging piles.
The regulation analysis module 231 may be configured to generate a regulation policy based on the first alarm instruction and the target data, and generate a regulation instruction based on the regulation policy, and send the regulation instruction to the instruction issuing module 232; the regulation strategy is used for determining target charge and discharge loads of the electric vehicles in each period in the target area and determining the quantity and charge and discharge states of the electric vehicles participating in regulation in the target area.
The instruction issuing module 232 may be configured to parse the regulation instruction and issue the regulation instruction to the data acquisition terminal 210.
The data acquisition terminal 210 may also be configured to execute the parsed regulation command.
In the above embodiment, when the power grid real-time analysis module 221 analyzes that the influence of the charging and discharging load of the electric vehicle in the target platform area on the power grid side load exceeds the limit threshold, the platform area alarm is generated, that is, the alarm management module 223 generates the first alarm instruction, and at this time, the regulation analysis module 231 may regulate and control the charging pile according to the first alarm instruction.
In one possible implementation, the grid real-time analysis module 221 may be specifically configured to: calculating the total charge and discharge load of the electric automobile and the real-time load of the target area in the target period according to the following steps:
P(t)＝PEV,j+Pj
Wherein P EVr,j represents the total charge and discharge load of the electric vehicle in the target platform area in the j-th period, P j represents the basic power load value of the target platform area in the j-th period, and P (t) represents the real-time load of the target platform area in the j-th period; Indicating that the ith charging pile discharges the electric automobile to the charging pile in the jth period,/> The charging pile charges the electric automobile in the j period of time, iIndicating that the ith charging pile is not connected with the electric vehicle in the jth period; /(I)And (3) charging and discharging power of the electric automobile in the j period for the ith charging pile, wherein N is the number of all the charging piles in the target area.
And calculating a heavy overload threshold THH and a low load threshold THL of the target transformer area according to the rated capacity X1 of the transformer in the target transformer area. Where the heavy overload threshold THH may be calculated by thh=x1×80% (kVA), and the low load threshold THL may be calculated by thl=x1×40% (kVA).
According to the calculated real-time load of the target platform area, combining the heavy overload load threshold THH and the low load threshold THL, judging whether the real-time load of the target platform area in the target period is less than or equal to THL and less than or equal to P (t) and less than or equal to THH, if so, the influence degree of the charge-discharge load of the electric automobile in the target period on the load of the power grid side is moderate, namely the charge-discharge strategy of the charge pile in the current target platform area is not required to be adjusted; if THL is less than or equal to P (t) and less than or equal to THH, the influence degree of the charge and discharge load of the electric automobile on the side load of the power grid in the target period is serious, namely the charge and discharge strategy of the charge pile in the current target platform area needs to be adjusted.
Optionally, the regulation analysis module 231 may specifically be configured to establish an objective function with a minimum standard deviation and a minimum peak-valley difference of load fluctuation on the grid side of the target platform area as regulation targets; and then solving an objective function by adopting an optimization algorithm, determining the objective charge and discharge loads of the electric vehicles in each period in the objective area, and determining the quantity and charge and discharge states of the electric vehicles in the objective area. The objective function may be:
F＝FT1+FT2
Wherein, F is an objective function, F T1 is a standard deviation objective function, F T2 is a peak-valley difference objective function, and here, the standard deviation objective function F T1 and the peak-valley difference objective function F T2 are integrated into a multi-objective function F by weighting. P j is a basic power load value of the target platform area in the j-th period, P EV,j is a target charge-discharge load of the electric vehicle in the target platform area in the j-th period, T is the total period number, and the value of T is 24; p avg is an average value of a sum of a base power load of the target platform area on a day before the current time and a charge/discharge load of the electric vehicle, P EV,t is a base power load of the target platform area on a day before the current time, and P t is a charge/discharge load of the electric vehicle of the target platform area in a period t in the day before the current time.
It should be understood that when the objective function is solved, the real-time load of the target area still needs to meet the condition that THL is less than or equal to P (t) is less than or equal to THH, and the target charge-discharge load P EV,j of the electric vehicle can be represented by the calculation formula of P EVr,j, so that the charge-discharge power and the charge-discharge state of the electric vehicle in the regulation strategy can be solved, and the number or the proportion of the electric vehicles needing to be charged and discharged can be further determined.
In some embodiments, the alarm management module 223 may be further configured to generate, when receiving an alarm signal of a certain charging pile, a second alarm instruction and send the second alarm instruction to the regulation analysis module 231, where the alarm signal includes an alarm time, a platform alarm code of the charging pile, and an alarm reason of the charging pile, and the second alarm instruction is used to instruct the intelligent regulation unit 230 to perform a control operation on the charging pile.
The regulation analysis module 231 may be further configured to generate a control instruction of the charging pile corresponding to the second alarm instruction according to the second alarm instruction, and send the control instruction to the instruction issuing module 232, where the control instruction may include a power-off instruction and a restart instruction.
The instruction issuing module 232 may be further configured to parse the control instruction and issue the control instruction to the data acquisition terminal 210.
The data acquisition terminal 210 may also be configured to execute the parsed control instruction.
In the above embodiment, when the charging pile fails or is otherwise abnormal, an alarm signal is reported, that is, the charging pile alarm is currently generated. The alarm management module 223 may receive the alarm signal, analyze the alarm signal, and then determine whether to perform control operation according to the analysis result of the charging pile, if the charging pile needs to be subjected to operations such as power-off or restarting, generate a second alarm instruction and send the second alarm instruction to the regulation analysis module 231, and the regulation analysis module 231 issues a corresponding control instruction according to the second alarm instruction, thereby implementing control management on the charging pile alarm.
In one possible implementation, the alert signal may be actively reported by the charging stake to the alert management module 223. The alert signal may also include maintenance processing results. The alarm management module 223 may integrate the alarm time, the platform alarm code, the alarm reason and the maintenance processing result, confirm and manage the state of the charging pile reporting the alarm signal, and generate the second alarm instruction for the charging pile needing to be maintained.
The command issuing module 232 may transmit the specific regulation command or control command to the charging station control center of the charging station through the remote transmission module 420 in an NB-IoT communication manner, and then transmit the regulation command or control command to the specific data acquisition terminal 210 through a CAN bus communication manner, where the data acquisition terminal 210 performs a corresponding operation, so as to implement a change of power and a charging and discharging state in a charging pile charging and discharging process, thereby implementing a scheduling of participation in V2G for the electric vehicle.
In some embodiments, the charge-discharge analysis module 222 may be configured to calculate charge-discharge efficiency of the plurality of charge piles and charge-discharge efficiency of the electric vehicle based on the target data, so as to obtain charge pile charge efficiency, charge pile discharge efficiency, electric vehicle charge efficiency and electric vehicle discharge efficiency of different temperatures, different charge-discharge powers, different charge-discharge SOC intervals.
In one possible implementation, the charge-discharge analysis module 222 may be specifically configured to: based on the direct current meter charge amount K1 (kWh), the direct current meter discharge amount K2 (kWh), the alternating current meter charge amount C1 (kWh), the alternating current meter discharge amount C2 (kWh), the electric vehicle charge and discharge SOC initial value S1 (%), the charge and discharge SOC end value S2 (%) and the vehicle battery capacity C (kWh) of the electric vehicle in one-time charging and discharging process acquired by the acquisition system 310, charging efficiency N1 of the charging pile, discharging efficiency N2 of the charging pile, charging efficiency N3 of the electric vehicle and discharging efficiency N4 of the electric vehicle are calculated. The formula is as follows:
N1＝C1/K1*100％
N2＝K2/C2*100％
N3＝C*|S2-S1|/K2*100％
N4＝K1/C*|S2-S1|*100％
In some embodiments, the grid real-time analysis module 221 may be further configured to analyze, based on the target data, a three-phase imbalance on the grid side, where the three-phase imbalance of the grid includes an imbalance of three-phase currents on the grid ac side and an imbalance of three-phase voltages on the grid ac side.
It will be understood that the analysis of the three-phase unbalance on the grid side belongs to the power quality analysis, and in the embodiment of the present invention, the requirement of the power quality analysis and evaluation is that the three-phase unbalance is less than 4%, that is, the unbalance of the three-phase current on the grid ac side is less than 4%, and the unbalance of the three-phase voltage on the grid ac side is less than 4%.
In one possible implementation, the grid real-time analysis module 221 may be further specifically configured to: and decomposing the electric quantity at the power grid side according to a symmetrical component method to obtain a positive sequence component, a negative sequence component and a zero sequence component, and calculating the negative sequence unbalance degree and the zero sequence unbalance degree of the current, and the negative sequence unbalance degree and the zero sequence unbalance degree of the voltage based on the positive sequence component, the negative sequence component and the zero sequence component. The calculation formula is as follows:
Wherein epsilon I2、εI0 is the negative sequence unbalance and zero sequence unbalance of the current respectively, epsilon U2、εU0 is the negative sequence unbalance and zero sequence unbalance of the voltage respectively, I 1、U1 is the square root of the positive sequence components of the collected alternating current side current and alternating current side voltage respectively, I 2、U2 is the square root of the negative sequence components of the collected alternating current side current and alternating current side voltage respectively, and I 0、U0 is the square root of the zero sequence components of the collected alternating current side current and alternating current side voltage respectively.
It should be noted that, if no zero sequence component exists, in a three-phase unbalanced system with only positive sequence component and negative sequence component, the effective values a, b and c of the fundamental wave components of the three-phase voltage or current can be calculated according to the voltages or currents of the three phases, and the three-phase negative sequence unbalanced degree epsilon 2 of the system can be obtained, and the formula is as follows:
wherein l= (a 4+b4+c4)/(a2+b2+c2).
In some embodiments, the grid real-time analysis module 221 may also be used to perform V2G benefit analysis. The method is particularly used for:
and calculating daily gain of the charging stations in the target area based on the basic charging electricity price or basic discharging electricity price of the charging stations in the target area, the charging and discharging service fee of the charging stations and the charging and discharging states of the charging piles in the target period. The formula is as follows:
Wherein, p c is the basic charge price or basic discharge price of the charging station in the jth period target platform area, and p c is the charge-discharge service fee of the charging station.
Referring to fig. 4, in some embodiments, based on the embodiment shown in fig. 3, the V2G data analysis and scheduling platform 200 based on the grid side may further include a remote communication device 400. The remote communication device 400 includes a control center module 410 and a remote transmission module 420.
In one possible implementation, the control center module 410 may be configured to receive the target data sent by the data acquisition terminal 210 and send the target data to the remote transmission module 420.
The remote transmission module 420 may be configured to send the received target data to the data analysis platform 220.
In another possible implementation, the remote transmission module 420 may be further configured to receive the parsed regulation command issued by the command issuing module 232, and send the parsed regulation command to the control center module 410.
The control center module 410 may be further configured to send the received parsed regulation command to the data acquisition terminal 210.
In some embodiments, the control center module 410 may also be used to aggregate the target data to an upper computer, so that the data on the charging pile and the grid side may be monitored on the upper computer.
Optionally, the remote transmission module 420 may include an NB-IoT communication unit and an ESD module. The NB-IoT communication unit wirelessly transmits data collected by the charging station control center to the cloud server by using a communication technology of a narrowband internet of things, wherein the data comprises three working modes, namely a CMD command mode, a CoAP transparent transmission mode and a simple transparent transmission mode, so that safety and high efficiency in a data transmission process are ensured;
The CMD command mode mainly depends on a serial port AT command to carry out data transmission, and a specific parameter configuration command and a specific communication command are required to be used for carrying out data transmission.
The simple transparent transmission mode is mainly realized by establishing Socket communication, and the charging station control center can directly interact data with the NB-IoT communication unit or can use Socket communication to carry out data transmission with serial port equipment of the charging station control center. When a user performs data transmission through Socket communication, all configurations of the serial device and the NB-IoT network do not need to be processed, and only the setting of intermediate parameters is needed, so that the data transmission between the serial device and the NB-IoT communication unit can be completed.
The CoAP transparent transmission mode is a fixed transceiving mechanism, the operation is simple, in the mode, the serial port equipment of the charging station control center can directly send data to the server of the data analysis platform through the NB-IoT communication unit only by setting the server address and the port number, the module can also directly receive the data from the server and forward the information to the serial port equipment, and the protocol conversion module in the data transmission process can be automatically completed.
The ESD module is a multi-channel low capacitance transient voltage suppressor that can provide a high level of protection for the electrostatically discharged sensitive electronics, protecting the SIM card in the NB-IoT communication unit from interference while in communication operation in the charging station.
Referring to fig. 5, in some embodiments, based on the embodiment shown in fig. 4, the data acquisition terminal 210 may further include a storage module 510. The acquisition system 310 may also include a power module 313, a control guidance module 314, and a master control module 315. The storage module 510 may include an SD memory card 511 and a message parsing module 512. The data analysis platform 220 may also include a charging stake management module 224, a charging station management module 225, and a server platform 520. As shown in fig. 5, the power grid real-time analysis module 221, the charge and discharge analysis module 222, the alarm management module 223, the charge stake management module 224, and the charge station management module 225 in the data analysis platform 220 may be divided into the data analysis system 530 of the data analysis platform 220.
The power module 313 is configured to supply power to the data acquisition terminal 210. In particular for powering the acquisition system 310 and the storage module 510. It will be appreciated that the power module 313 may draw power from the 220V power source of the charging post to power the entire data acquisition terminal 210.
The control guidance module 314 may be configured to convert the parsed regulation command into a bipolar PWM driving signal of each IGBT of an AC/DC converter (AC-DC converter) in the charging pile, where the bipolar PWM driving signal is used to regulate voltage and current during charging and discharging of the charging pile.
The main control module 315 may include a main control chip, a voltage sampling unit, and a current sampling unit. The main control module 315 may be used to control the acquisition system 310 and control the execution of the parsed control instructions.
The SD memory card 511 may be used to store the target data acquired by the acquisition system 310 locally for data verification.
The message parsing module 512 may be used for data parsing and data verification. The data parsing means that frame header, data field and CRC check code data in CAN message data of the storage module 510 are converted into decimal data from hexadecimal, so that workers CAN selectively parse and convert the message data when the data is exported quickly, and the message data is convenient to directly check. The data verification means that when the charging pile is abnormal or the data communication is abnormal, the data stored in the server platform is compared with the data in the SD memory card 511, so that the fault is conveniently checked.
The charging pile management module 224 may be used for performing functional operations such as creating, searching, modifying, logging out, upgrading, restarting, checking logs, etc. on the charging pile; the method can also be used for inquiring the first detailed information of each charging pile, wherein the first detailed information can comprise, but is not limited to, charging pile codes, equipment names, affiliated stations, charging types, operation states, charging pile registration time and the like.
The charging station management module 225 may be configured to perform functional operations such as creating, searching, modifying, logging out, upgrading, restarting, and checking logs on the charging station; the second detailed information of each charging station can also be used for inquiring, and the second detailed information can include, but is not limited to, names of charging stations, number of charging piles in the station, affiliated areas, operation states, operation time and the like.
The server platform 520 may be configured to receive the target data sent by the remote transmission module 420 and send the target data to the data analysis system 530.
The server platform 520 may be further configured to receive the parsed regulation command issued by the command issuing module 232, and issue the parsed regulation command to the remote transmission module 420.
Server platform 520 may also be used to encrypt and store data sent by remote transport module 420.
The V2G data analysis and dispatch platform based on the power grid side comprises a data acquisition terminal, a data analysis platform and an intelligent regulation and control unit. And acquiring target data of the target area through the data acquisition terminal, and sending the target data to the data analysis platform. The data analysis platform can analyze the influence degree of the charge and discharge load of the electric automobile on the load of the power grid side based on the target data. The intelligent regulation and control unit can regulate and control the charge and discharge strategies of the plurality of charge piles based on the analysis result of the data analysis platform. In this way, the influence of the charging and discharging of the electric vehicle on the load on the power grid side is considered in the V2G data analysis, and the charging and discharging of the charging pile are regulated and controlled according to the influence degree, so that the applicability of the electric vehicle in participating in V2G can be improved, meanwhile, the enthusiasm of the electric vehicle user in peak clipping and valley filling can be improved, the utilization rate of the charging and discharging of the electric vehicle is improved, and the popularization of the V2G technology in practical application is further promoted.
Referring to fig. 6, the embodiment of the invention further provides a V2G data analysis and scheduling method based on the power grid side, which comprises the following steps:
S601, collecting target data of a target platform area and sending the target data to a data analysis platform; the target platform area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric vehicle charged and discharged by the plurality of charging piles.
S602, analyzing the influence degree of the charge-discharge load of the electric automobile on the load of the power grid side based on the target data.
S603, based on the influence degree of the charge-discharge load of the electric automobile on the load of the power grid side, the charge-discharge strategies of the plurality of charge piles are regulated and controlled.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic, and should not limit the implementation process of the embodiment of the present invention.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the templates, elements, and algorithm steps described in connection with the embodiments disclosed herein can be implemented as electronic hardware, or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, the implementation of all or part of the foregoing embodiments of the present invention may also be accomplished by a computer program to instruct related hardware, where the computer program may be stored in a computer readable storage medium, and the computer program may be executed by a processor to implement the functions of the V2G data analysis and scheduling platform on the grid side or the steps of the V2G data analysis and scheduling method embodiment on the grid side. Wherein the computer program comprises computer program code which may be in source code form, object code form, executable file or some intermediate form etc. The computer readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash disk, a removable hard disk, a magnetic disk, an optical disk, a computer memory, a read-only memory, a random access memory, an electrical carrier wave signal, a telecommunication signal, a software distribution medium, and so forth.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention, and are intended to be included in the scope of the present invention.

Claims (10)

1. The V2G data analysis and scheduling platform based on the power grid side is characterized by comprising a data acquisition terminal, a data analysis platform and an intelligent regulation and control unit;
The data acquisition terminal is used for acquiring target data of a target platform area and sending the target data to the data analysis platform; the target area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric automobile charged and discharged by the plurality of charging piles;
the data analysis platform is used for analyzing the influence degree of the charge and discharge load of the electric automobile on the load of the power grid side based on the target data;
and the intelligent regulation and control unit is used for regulating and controlling the charge and discharge strategies of the plurality of charge piles based on the analysis result of the data analysis platform.
2. The grid-side V2G data analysis and dispatch platform of claim 1, wherein the data analysis platform comprises a grid real-time analysis module;
The power grid real-time analysis module is used for calculating the total load of the electric vehicle charging and discharging in a target period based on the target data; determining the real-time load of the target platform area based on the basic load of the target platform area in the target period and the total load of the electric vehicle charging and discharging; and determining the influence degree of the charge and discharge load of the electric automobile on the load on the power grid side based on the real-time load, a preset low load threshold and a preset heavy load threshold.
3. The grid-side V2G data analysis and dispatch platform of claim 2, wherein the target data further comprises charging pile side and grid side temperature data; the data analysis platform further comprises a charge-discharge analysis module;
The charge-discharge analysis module is used for calculating charge-discharge efficiency of the plurality of charge piles and charge-discharge efficiency of the electric vehicle based on the target data to obtain charge pile charge efficiency, charge pile discharge efficiency, electric vehicle charge efficiency and electric vehicle discharge efficiency of different temperatures, different charge-discharge powers and different charge-discharge SOC intervals.
4. The grid-side V2G data analysis dispatch platform of claim 2, wherein the grid real-time analysis module is further configured to:
And analyzing the three-phase unbalance degree of the power grid side based on the target data, wherein the three-phase unbalance degree of the power grid side comprises the unbalance degree of the three-phase current of the power grid alternating current side and the unbalance degree of the three-phase voltage of the power grid alternating current side.
5. The V2G data analysis and dispatch platform based on the grid side of claim 2, wherein the data analysis platform further comprises an alarm management module, and the intelligent regulation and control unit comprises a regulation and control analysis module and a command issuing module;
The alarm management module is used for generating a first alarm instruction and sending the first alarm instruction to the regulation analysis module when the real-time load of the target platform area is lower than the low load threshold or higher than the heavy load threshold, and the first alarm instruction is used for indicating the intelligent regulation unit to regulate and control the plurality of charging piles;
The regulation analysis module is used for generating a regulation strategy based on the first alarm instruction and the target data, generating a regulation instruction based on the regulation strategy and sending the regulation instruction to the instruction issuing module; the regulation strategy is used for determining target charge and discharge loads of the electric vehicles in each period of time in the target platform area and determining the quantity and charge and discharge states of the electric vehicles in the target platform area, which are involved in regulation and control;
the instruction issuing module is used for analyzing the regulation and control instruction and issuing the regulation and control instruction to the data acquisition terminal;
The data acquisition terminal is also used for executing the analyzed regulation and control instruction.
6. The V2G data analysis and dispatch platform based on the grid side of claim 5, wherein the alarm management module is further configured to generate a second alarm command and send the second alarm command to the regulation and control analysis module when an alarm signal of a certain charging pile is received, where the alarm signal includes an alarm time, a platform alarm code of the charging pile, and an alarm reason of the charging pile, and the second alarm command is used to instruct the intelligent regulation and control unit to perform a control operation on the charging pile;
the regulation analysis module is further used for generating a control instruction of the charging pile corresponding to the second alarm instruction according to the second alarm instruction and sending the control instruction to the instruction issuing module, wherein the control instruction comprises a power-off instruction and a restarting instruction;
The instruction issuing module is further used for analyzing the control instruction and issuing the control instruction to the data acquisition terminal.
7. The grid-side V2G data analysis and dispatch platform of claim 5, wherein the regulation and control analysis module is specifically configured to:
Establishing an objective function by taking the minimum standard deviation and the minimum peak-valley difference of the load fluctuation at the power grid side of the objective area as regulation targets; the objective function is:
F＝FT1+FT2
wherein F is the objective function, F T1 is the standard deviation objective function, and F T2 is the peak-valley difference objective function; p j is a basic power load value of the target platform area in the j period, P EV,j is a target charge-discharge load of the electric vehicle in the j period, T is the total period number, and the value of T is 24; p avg is the average value of the sum of the basic power load of the target platform area on the day before the current time and the charging and discharging load of the electric automobile, P EV,t is the basic power load of the target platform area on the day before the current time, and P t is the charging and discharging load of the electric automobile in the t period of the target platform area on the day before the current time;
and solving the objective function by adopting an optimization algorithm, determining the objective charge and discharge loads of the electric vehicles in each period in the objective area, and determining the quantity and charge and discharge states of the electric vehicles in the objective area, which are involved in regulation and control.
8. The grid-side V2G data analysis dispatch platform of claim 5, further comprising a remote communication device;
the remote communication device comprises a control center module and a remote transmission module;
The control center module is used for receiving the target data sent by the data acquisition terminal and sending the target data to the remote transmission module;
The remote transmission module is used for sending the received target data to the data analysis platform;
The remote transmission module is further configured to receive the parsed regulation and control instruction issued by the instruction issuing module, and send the parsed regulation and control instruction to the control center module;
the control center module is further used for sending the received analyzed regulation and control instruction to the data acquisition terminal.
9. The grid-side-based V2G data analysis and dispatch platform of claim 1, wherein the data acquisition terminal comprises an acquisition system, and the acquisition system comprises an electric energy acquisition module and a temperature and humidity acquisition module;
The electric energy collection module is used for collecting direct current ammeter charge quantity, direct current ammeter discharge quantity, alternating current ammeter charge quantity, alternating current ammeter discharge quantity, direct current side voltage, alternating current side voltage, direct current side current, alternating current side current and charge and discharge power on the power grid side and the charging pile output side, and collecting charge and discharge SOC initial values, charge and discharge SOC end values, vehicle battery capacity and power factors of the electric automobile;
and the temperature and humidity acquisition module is used for acquiring the temperature and humidity of the power grid side and the charging pile side.
10. The V2G data analysis and scheduling method based on the power grid side is characterized by comprising the following steps of:
Collecting target data of a target platform area and sending the target data to the data analysis platform; the target area comprises a plurality of charging piles, and the target data comprise electric energy data of a charging pile side and a power grid side and battery data of an electric automobile charged and discharged by the plurality of charging piles;
Based on the target data, analyzing the influence degree of the charge-discharge load of the electric automobile on the load of the power grid side;
and regulating and controlling the charging and discharging strategies of the plurality of charging piles based on the influence degree of the charging and discharging load of the electric vehicle on the power grid side load.
CN202311797167.0A 2023-12-25 2023-12-25 V2G data analysis and scheduling platform and method based on power grid side Pending CN118024939A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311797167.0A CN118024939A (en) 2023-12-25 2023-12-25 V2G data analysis and scheduling platform and method based on power grid side

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311797167.0A CN118024939A (en) 2023-12-25 2023-12-25 V2G data analysis and scheduling platform and method based on power grid side

Publications (1)

Publication Number Publication Date
CN118024939A true CN118024939A (en) 2024-05-14

Family

ID=90984730

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311797167.0A Pending CN118024939A (en) 2023-12-25 2023-12-25 V2G data analysis and scheduling platform and method based on power grid side

Country Status (1)

Country Link
CN (1) CN118024939A (en)

Similar Documents

Publication Publication Date Title
US20210402889A1 (en) Method and apparatus for charging a battery using local power grid topology information
CN103595107B (en) Electric automobile charge-discharge control system and method
RU2550109C2 (en) System, device and method for energy exchange with vehicle
CN202840641U (en) Electric automobile charging facilities
CN103475059B (en) Multiple-channel output cooperation control electric automobile integrated charger supervisory control system and method
CN103323711B (en) A kind of low-pressure grid-connection pick-up unit of distributed new electricity generation system and method
CN206099371U (en) New forms of energy microgrid system of community
CN108075536A (en) Flexible charging regulation and control method for charging pile and charging pile system
CN106921199B (en) Electric power system of intelligent charging station and intelligent charging method
CN110783938B (en) Electric automobile charging system and method with energy storage function
CN211018374U (en) Automatic energy storage charging system based on common power supply of commercial power and hydrogen fuel cell
CN105305577A (en) Active intelligent charging pile not based on communication system, and intelligent charging method therefor
CN110401191B (en) Electric vehicle charging pile service logic consistency analysis method based on time sequence logic
US12043134B2 (en) Aggregating capacity for depot charging
CN104269901A (en) Direct-current fast charging station managing system and method for electric automobile from power grid
KR102358282B1 (en) Electric vehicle charger system and method
CN206041600U (en) Intelligent direct current fills electric pile system
Kumar et al. Electric vehicle charging method and impact of charging and discharging on distribution system: a review
CN118082590A (en) Charging control method, charging system and related equipment
CN108183515B (en) Electric vehicle charging monitoring system without capacity increase
CN108336818B (en) Intelligent power distribution terminal and charging station charging management system
CN110165708A (en) A kind of V2G alternating current-direct current mixing micro-capacitance sensor control system and method
CN118024939A (en) V2G data analysis and scheduling platform and method based on power grid side
CN215681813U (en) Parallel energy storage system
CN107979324A (en) Solar recharging system and its control method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination