Station territory control method and system and storage medium

Abstract

The invention relates to a station domain control method and system and a storage medium. The station domain control method comprises the steps of data acquisition and state monitoring, wherein the information of electric power flow, vehicle charging state, power grid load and energy storage state of a charging station is mainly acquired; load prediction and electricity price analysis: predicting an ultra-short-term load change trend by adopting a time sequence model LSTM to predict a future load, judging a time period in which the electricity price is located, and judging which time period the current time is in, namely, a peak time period, a flat time period and a valley time period; transformer load evaluation: making a control strategy by calculating available power headroom; power optimization distribution is carried out, and power dynamic adjustment is carried out according to different conditions; a charging pile strategy and an energy storage strategy are adjusted according to the load condition and the electricity price condition; executing a charging and discharging control strategy; the real-time dynamic adjustment refers to periodical adjustment of a charging strategy; according to the invention, electric energy transmission and state monitoring in the charging station can be effectively managed, and the real-time performance, reliability and safety of vehicle network interaction are improved.

Description

Technical Field

[0001] This application relates to the field of station domain control, and in particular to a method, system and storage medium for electric vehicle station domain control. Background Technology

[0002] With the increasing popularity of electric vehicles, the development of vehicle-to-grid (V2G) technology has placed new demands on the stability of the power grid and the charging efficiency of electric vehicles. As the core brain of a charging station, the station domain controller needs to possess efficient data processing capabilities and real-time decision-making abilities to achieve effective interaction between electric vehicles and the power grid.

[0003] However, with the large-scale access of charging piles and the development of vehicle-to-everything (V2X) networks, the current power regulation and billing strategies for charging piles, implemented on the charging and discharging business platform, will greatly increase the data processing pressure on the platform and cannot meet the requirements for real-time performance and security.

[0004] Furthermore, by placing the power regulation and billing strategy control of charging piles within the station domain (within the charging station), higher requirements are placed on the system's response speed and reliability. Summary of the Invention

[0005] The purpose of this application is to provide a station domain control method, system, and storage medium that can effectively manage power transmission and status monitoring within a charging station, and improve the real-time performance, reliability, and security of vehicle-to-grid interaction.

[0006] To achieve the above objectives, this application provides the following technical solution:

[0007] Firstly, embodiments of this application provide a station-area control method, including the following specific steps: data acquisition and status monitoring, mainly acquiring information on the power flow of the charging station, vehicle charging status, grid load, and energy storage status; specifically including the transformer capacity P of the substation. 变 Current load P in the distribution area 负荷 Peak-valley electricity price P 电价 The system monitors the current SOC of the energy storage system and the operating status of the charging pile; it also monitors the equipment status in real time and calculates the transformer load rate based on the collected data.

[0008] Load forecasting and electricity price analysis: The LSTM time series model is used to predict ultra-short-term load change trends and predict future load, determine the time period in which the electricity price is located, and determine whether the current time is in peak, flat, or valley period;

[0009] Transformer load assessment involves calculating available power margins to formulate control strategies; calculation of the transformer's remaining power P. 余 =P 变 - P 负荷The transformer capacity P in the distribution area 变 Current load P in the distribution area 负荷 ;

[0010] Power optimization allocation, dynamic power adjustment according to different situations; adjustment of charging pile strategy and energy storage strategy according to load conditions and electricity price conditions;

[0011] Implementation of charging pile strategy and energy storage strategy;

[0012] Real-time dynamic adjustment refers to periodically adjusting the charging pile strategy and energy storage strategy.

[0013] The calculation of the transformer load rate based on the collected data is specifically as follows: Load rate = (P) 负荷 / P 变 ) / P 负荷 ×100%.

[0014] When the load rate exceeds 80%, the load protection mechanism is activated, and historical data is recorded for use in the transformer area load P. 负荷 Predictive analysis.

[0015] The transformer load assessment specifically involves...

[0016] If P 余 When the value is less than 0, immediately reduce the charging power of the charging pile or start the energy storage discharge.

[0017] If P 余 When the charge level is above 20%, high-power charging or energy storage charging is permitted at the charging station.

[0018] The aforementioned dynamic power adjustment based on different situations; adjusting charging pile strategies and energy storage strategies according to load and electricity price conditions specifically involves: allowing V2G-enabled electric vehicles to discharge to the grid during peak electricity price and high load periods to reduce electricity purchase costs; guiding V2G vehicles to charge during off-peak electricity price periods to prepare for peak discharge periods; limiting the charging power of charging piles during low load and peak electricity price periods, and deciding whether to discharge based on the SOC (State of Charge); and limiting the fast charging power of charging piles during high load and off-peak electricity price periods, and charging only as needed.

[0019] The specific steps for implementing the charging pile strategy and energy storage strategy are as follows: During off-peak electricity price periods, the energy storage system charges and stores low-priced electricity, and the charging piles encourage electric vehicles to charge; during flat-peak electricity price periods, the energy storage system decides to charge and discharge based on the State of Charge (SOC), and the charging piles charge normally; during peak-peak electricity price periods, the energy storage system prioritizes discharging to reduce electricity purchases from the grid, and the charging piles encourage electric vehicles to discharge to the grid; at night during flat-peak electricity price periods, if the SOC is low, the energy storage system supplements some energy, and the charging piles charge normally.

[0020] The real-time dynamic adjustment strategy refers to periodically adjusting the charging pile strategy and energy storage strategy; if the load suddenly increases: reduce the charging power or increase the energy storage discharge; if the SOC is too low: stop the energy storage discharge and prioritize ensuring the SOC; if the load suddenly decreases: allow the charging power to increase or the energy storage to charge.

[0021] The load protection mechanism shown includes emergency overload protection and power failure protection;

[0022] If the transformer load exceeds 90%, the emergency overload protection will be activated, all charging will be stopped immediately, and the stored energy will be discharged at full power.

[0023] If the power grid fails, the power outage protection will be activated, and the energy storage will provide emergency power for a minimum of 15 to 30 minutes to ensure the basic operation of the station.

[0024] Secondly, embodiments of this application provide a station domain control system, including a memory and a processor. The memory includes a program for a station domain control method, and when the program for the station domain control method is executed by the processor, it implements the steps of the station domain control method as described above.

[0025] Thirdly, embodiments of this application provide a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, it performs the steps of the method described.

[0026] Compared with the prior art, the beneficial effects of the present invention are:

[0027] Compared to existing technologies, this method calculates transformer load rate and adjusts charging pile and energy storage strategies based on load conditions and electricity prices.

[0028] It can effectively manage the operation of V2G charging stations, improve charging efficiency, ensure the stability of the power grid and the safety of electric vehicles, and at the same time reduce the dependence on cloud servers through edge computing, thereby improving the system's response speed and reliability. Attached Figure Description

[0029] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments of this application will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 This is a flowchart of the method in this application.

[0031] Figure 2 These are charging pile strategies and energy storage strategies under different load conditions and electricity price conditions.

[0032] Figure 3 This is a comparison of the control strategies adopted by ordinary charging piles and the V2G charging piles of this application during electricity price periods. Detailed Implementation

[0033] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. It should be noted that similar reference numerals and letters in the following drawings indicate similar items; therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0034] The terms “comprising,” “including,” or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase “comprising one…” does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0035] The terms “first,” “second,” etc., are used only to distinguish one entity or operation from another, and should not be construed as indicating or implying relative importance, nor as requiring or implying any such actual relationship or order between these entities or operations.

[0036] like Figure 1 As shown in the figure, this application provides a site domain control method, which includes the following specific steps:

[0037] 1) Data acquisition and status monitoring; 2) Load forecasting and electricity price analysis; 3) Transformer load assessment; 4) Power optimization allocation; 5) Execution of charging pile strategy and energy storage strategy; 6) Real-time dynamic adjustment.

[0038] We describe the entire control strategy by detailing the implementation of the above steps.

[0039] 1) Data acquisition and status monitoring, mainly collecting information on power flow at charging stations, vehicle charging status, grid load, and energy storage status; specifically including collecting key parameters such as the transformer capacity P in the charging area. 变 Current load P in the distribution area 负荷 Peak-valley electricity price P 电价 (Dynamically acquired), current SOC (State of Charge) of the energy storage system, and working status of the charging pile (charging / discharging / V2G).

[0040] Real-time monitoring of equipment status, and calculation of transformer load rate based on collected data:

[0041] Load factor = (P) 负荷 / P 变 ) / P 负荷 ×100%.

[0042] When the load rate exceeds 80%, the load protection mechanism is activated, and historical data is recorded for use in the transformer area load P. 负荷 Predictive analysis.

[0043] 2) Load forecasting and electricity price analysis. Future load is forecasted using the LSTM time series model; ultra-short-term (hourly) load change trends are predicted.

[0044] Electricity price time period determination: Determine whether the current time is in peak, flat, or valley period: low valley period (low electricity price), flat period, peak period (high electricity price).

[0045] 3) Transformer load analysis in the distribution area

[0046] Calculate available power margin

[0047] Calculate the remaining power P of the transformer 余 =P 变 - P 负荷 ;

[0048] Among them, the transformer capacity P in the distribution area 变， When the front-end load P 负荷

[0049] If P 余 If the charge level is less than 0 (overload), immediately reduce the charging power of the charging pile or start the energy storage discharge.

[0050] If P 余 >20% (lower load) allows high-power charging of charging piles or energy storage charging.

[0051] 4) Power Optimization Allocation

[0052] Dynamic power adjustment based on different situations: Adjusting charging pile strategies and energy storage strategies according to load conditions and electricity prices. Figure 2 As shown, charging pile strategies and energy storage strategies are adjusted according to load conditions and electricity prices. During peak electricity price periods and when the load rate exceeds 80%, V2G-enabled electric vehicles are allowed to discharge to the grid, reducing electricity purchase costs. During off-peak electricity price periods, V2G vehicles are guided to charge, preparing for peak discharge. During peak electricity price periods and when the load rate is less than 80%, the charging power of charging piles is limited, and discharge is determined based on the SOC (State of Charge). During off-peak electricity price periods and when the load rate exceeds 80%, the fast charging power of charging piles is limited, and charging is limited to a certain extent.

[0053] That is, the V2G (vehicle-to-everything) charging and discharging strategy:

[0054] During peak electricity prices and high load periods, electric vehicles supporting V2G are allowed to discharge to the grid, reducing electricity purchase costs.

[0055] During off-peak electricity prices, guide V2G vehicles to charge in preparation for peak-hour discharge.

[0056] Under low load and peak electricity prices, the charging power of charging piles is limited, and whether to discharge depends on the SOC (State of Charge) status.

[0057] During periods of high load and off-peak electricity prices, charging stations limit fast charging power, allowing for moderate charging.

[0058] 5) Implementation of charging pile strategy and energy storage strategy

[0059] Figure 3 Comparing the control strategies adopted by ordinary charging piles and the V2G charging piles of this application during different electricity price periods, specifically: during off-peak electricity price periods, the energy storage system charges and stores low-priced electricity, and the charging piles encourage electric vehicles to charge; during flat electricity price periods, the energy storage system decides to charge and discharge based on the SOC, and the charging piles charge normally; during peak electricity price periods, the energy storage system prioritizes discharging to reduce the purchase of electricity from the grid, and the charging piles encourage electric vehicles to discharge to the grid; at night during flat electricity price periods, if the SOC is low, the energy storage system supplements some electricity, and the charging piles charge normally.

[0060] The real-time dynamic adjustment strategy refers to periodically adjusting the charging pile strategy and energy storage strategy; if the load suddenly increases: reduce the charging power or increase the energy storage discharge; if the SOC is too low: stop the energy storage discharge and prioritize ensuring the SOC; if the load suddenly decreases: allow the charging power to increase or the energy storage to charge.

[0061] 6) Real-time dynamic adjustment strategy

[0062] Periodic adjustments (every 5-15 minutes):

[0063] Load power change δP: = P 负荷（n） - P 负荷（n-1） ;

[0064] The current period's transformer area load P 负荷（n）， Previous cycle load P 负荷（n-1）

[0065] If the load suddenly increases (δP>10%): reduce the charging power or increase the energy storage discharge.

[0066] If SOC < 20%: Stop energy storage discharge and prioritize maintaining SOC.

[0067] If the load suddenly drops (δP<-10%): it is permissible to increase the charging power or charge the energy storage.

[0068] (7) Emergency response mechanism:

[0069] When the load rate exceeds 80%, the load protection mechanism is activated, and historical data is recorded for use in the transformer area load P. 负荷 Predictive analysis. The load protection mechanism includes emergency overload protection and power outage protection; if the transformer load exceeds 90%, emergency overload protection will be activated, all charging will be stopped immediately, and the energy storage will discharge at full power; if the power grid fails, power outage protection will be activated, and the energy storage will provide emergency power for a minimum of 15 to 30 minutes to ensure the basic operation of the station.

[0070] To achieve the above objectives, this application provides the following technical solution:

[0071] A station domain control system includes a memory and a processor. The memory includes a program for a station domain control method. When the program for the station domain control method is executed by the processor, it implements the steps of the station domain control method as described above.

[0072] This application provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, which, when executed by a processor, performs the steps of the method described above.

[0073] Adjusting charging pile and energy storage strategies based on load and electricity prices can effectively manage the operation of V2G charging stations, improve charging efficiency, ensure grid stability and electric vehicle safety, and reduce reliance on cloud servers through edge computing, thereby improving system response speed and reliability.

[0074] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0075] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0076] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0077] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0078] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0079] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0080] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0081] The above description is merely an embodiment of this application and is not intended to limit the scope of protection of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A site domain control method, comprising the following specific steps: Data acquisition and status monitoring collect information on power flow at charging stations, vehicle charging status, grid load, and energy storage status; specifically, this includes the transformer capacity P in the charging area. 变 Current load P in the distribution area 负荷 Peak-valley electricity price P 电价 Current SOC of the energy storage system and the working status of the charging pile; Real-time monitoring of equipment status; calculation of transformer load rate based on collected data. Load forecasting and electricity price analysis: The time series model LSTM is used to predict ultra-short-term load change trends, predict future load, determine the time period of electricity price, and determine whether the current time is in peak, flat, or valley period. Transformer load assessment, and development of control strategies by calculating available power margin; Calculate the remaining power P of the transformer 余 =P 变 -P 负荷 The transformer capacity P in the distribution area 变 Current load P in the distribution area 负荷 ; Power optimization allocation, dynamic power adjustment according to different situations; adjustment of charging pile strategy and energy storage strategy based on transformer load rate, transformer load assessment and electricity price; Implementation of charging pile strategy and energy storage strategy; Real-time dynamic adjustment refers to periodically adjusting the charging pile strategy and energy storage strategy.

2. The station control method as described in claim 1, wherein calculating the transformer load rate based on the collected data specifically comprises: Load rate = (P) 负荷 / P 变 ) / P 负荷 ×100%.

3. The station control method as described in claim 2, when the load rate exceeds 80%, activates the load protection mechanism, records historical data, and uses it for the load P of the transformer area. 负荷 Predictive analysis.

4. The station control method as described in claim 1, wherein the transformer load assessment specifically comprises: If P 余 When the value is less than 0, immediately reduce the charging power of the charging pile or start the energy storage discharge. If P 余 When the charge level is above 20%, high-power charging or energy storage charging is permitted at the charging station.

5. The station control method as described in claim 1, wherein the dynamic power adjustment according to different situations; adjusting the charging pile strategy and energy storage strategy according to transformer load rate, transformer load assessment and electricity price situation specifically means that, during peak electricity price + high load, electric vehicles supporting V2G are allowed to discharge to the grid to reduce electricity purchase costs; during off-peak electricity price, V2G vehicles are guided to charge to prepare for peak discharge; during low load and peak electricity price, the charging power of the charging pile is limited, and whether to discharge depends on the SOC situation; during high load and off-peak electricity price, the fast charging power of the charging pile is limited, and charging is carried out in moderation.

6. The station control method as described in claim 1, wherein the execution steps of the charging pile strategy and energy storage strategy are as follows: during off-peak electricity price periods, the energy storage system charges and stores low-priced electricity, and the charging piles encourage electric vehicles to charge; during flat-peak electricity price periods, the energy storage system decides to charge and discharge based on the SOC, and the charging piles charge normally; during peak-peak electricity price periods, the energy storage system prioritizes discharging to reduce electricity purchases from the grid, and the charging piles encourage electric vehicles to discharge to the grid; during flat-peak electricity price periods at night, if the SOC is low, the energy storage system supplements some electrical energy, and the charging piles charge normally.

7. The station control method as described in claim 1, wherein the real-time dynamic adjustment strategy refers to periodically adjusting the charging pile strategy and the energy storage strategy; if the load suddenly increases: reduce the charging power or increase the energy storage discharge; if the SOC is too low: stop the energy storage discharge and prioritize ensuring the SOC; if the load suddenly decreases: allow the charging power to increase or the energy storage to charge.

8. The station domain control method as described in claim 3, wherein the load protection mechanism includes emergency overload protection and power failure protection; If the transformer load exceeds 90%, the emergency overload protection will be activated, all charging will be stopped immediately, and the stored energy will be discharged at full power. If the power grid fails, the power outage protection will be activated, and the energy storage will provide emergency power for a minimum of 15 to 30 minutes to ensure the basic operation of the station.

9. A station-area control system, characterized in that, The system includes a memory and a processor. The memory includes a program for a station domain control method. When the program for the station domain control method is executed by the processor, it implements the steps of the station domain control method as described in any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the site control method as described in any one of claims 1 to 8.

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