Method and apparatus for controlling integrated energy storage and charging station, and device, medium and product

Abstract

The present disclosure relates to the technical field of charging and discharging. Disclosed are a method and apparatus for controlling an integrated energy storage and charging station, and a device, a medium and a product. The method comprises: sending predicted adjustment data for a control period to an integrated energy storage and charging station, wherein the predicted adjustment data is generated on the basis of a load prediction model corresponding to the integrated energy storage and charging station; receiving declared adjustment data sent by the integrated energy storage and charging station, wherein the declared adjustment data is generated on the basis of the predicted adjustment data; on the basis of bid-winning adjustment data, generating a control instruction corresponding to the integrated energy storage and charging station, wherein the control instruction carries final adjustment data corresponding to the integrated energy storage and charging station, and the final adjustment data is obtained by splitting the bid-winning adjustment data on the basis of the declared adjustment data of the integrated energy storage and charging station; and issuing the corresponding control instruction to the integrated energy storage and charging station, so as to instruct the integrated energy storage and charging station to adjust the charging and discharging power thereof on the basis of the final adjustment data.

Description

Control methods, devices, equipment, media, and products for integrated storage and charging stations.

[0001] Cross-reference to related applications

[0002] This disclosure is based on and claims priority to Chinese Patent Application No. 202410912684.6, filed on July 9, 2024, entitled “Control Method, Apparatus, Equipment, Medium and Product for Integrated Storage and Charging Stations”, the entire contents of which are incorporated herein by reference. Technical Field

[0003] This disclosure relates to the field of charging and discharging technology, and in particular to a control method, device, equipment, medium and product for an integrated energy storage and charging station. Background Technology

[0004] With the widespread integration of renewable energy and the development of the electricity market, power grids face increasing regulation challenges. Traditional grid regulation methods often rely on centralized generation resources and limited dispatching means, making it difficult to cope with rapidly changing power supply and demand relationships and diverse regulation needs. To improve the grid's regulation capacity and stability, Virtual Power Plants (VPPs) have emerged as an innovative solution. However, the lack of control methods for integrated energy storage and charging stations within VPPs results in insufficient support capabilities of VPPs for the distribution network. Summary of the Invention

[0005] In view of this, the present disclosure provides at least one control method, apparatus, equipment, medium, and product for integrated storage and charging stations.

[0006] The technical solution of this disclosure embodiment is implemented as follows:

[0007] On one hand, this disclosure provides a control method for an integrated energy storage and charging station, applied to a virtual power plant communicatively connected to at least one integrated energy storage and charging station. The method includes: sending predicted adjustment data for a control period to the integrated energy storage and charging station; the predicted adjustment data is generated based on a load forecasting model corresponding to the integrated energy storage and charging station; receiving declared adjustment data sent by the integrated energy storage and charging station; the declared adjustment data is generated based on the predicted adjustment data; generating a control command corresponding to the integrated energy storage and charging station based on the winning bid adjustment data; the control command carries the final adjustment data corresponding to the integrated energy storage and charging station; the winning bid adjustment data is obtained after submitting the received declared adjustment data to the power dispatching platform; the final adjustment data is obtained by splitting the winning bid adjustment data based on the adjustment data declared by the integrated energy storage and charging station; issuing a corresponding control command to the integrated energy storage and charging station; the control command is used to instruct the integrated energy storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

[0008] In some embodiments, the regulation data includes adjustable capacity data of the integrated energy storage and charging station during the control period, the adjustable capacity data characterizing the charging power adjustment capability and / or discharging power adjustment capability of the integrated energy storage and charging station during the control period; the method further includes: generating overall regulation capacity data based on the adjustable capacity data reported by each integrated energy storage and charging station during the control period; the overall regulation capacity data is used to characterize the charging power adjustment capability and / or discharging power adjustment capability of the virtual power plant during the control period; and reporting the overall regulation capacity data to the power dispatching platform.

[0009] In the above embodiments, by aggregating the charging and discharging power adjustment thresholds of each integrated energy storage and charging station, the computational load of the power distribution network in responding to application requests can be reduced, thereby improving response efficiency.

[0010] In some embodiments, the adjustable capability data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; based on the adjustable capability data of each integrated energy storage and charging station during the control period, overall adjustable capability data is generated, including at least one of the following: based on the charging power adjustment threshold declared by each integrated energy storage and charging station during the control period, an overall charging power adjustment threshold corresponding to the virtual power plant is generated; based on the discharging power adjustment threshold declared by each integrated energy storage and charging station during the control period, an overall discharging power adjustment threshold corresponding to the virtual power plant is generated; wherein, the overall adjustable capability data includes the overall charging power adjustment threshold and / or the overall discharging power adjustment threshold.

[0011] In the above embodiments, by calculating the overall discharge power adjustment threshold and the overall charging power adjustment threshold respectively, the discharge capacity adjustment space of the virtual power plant as a whole during the time period can be obtained, thereby providing a data basis for the subsequent application process. At the same time, since the charging and discharging power adjustment thresholds of each integrated storage and charging station are summarized, the calculation workload of the distribution network in responding to the application request can be reduced, and the response efficiency can be improved.

[0012] In some embodiments, the method further includes: receiving winning bid adjustment data sent by a power dispatching platform; the winning bid adjustment data includes a target charging power adjustment value and / or a target discharging power adjustment value; the target charging power adjustment value is less than or equal to the overall charging power adjustment threshold, and the target discharging power adjustment value is less than or equal to the overall discharging power adjustment threshold.

[0013] In the above embodiments, the situation where the adjustment command issued by the power dispatching platform exceeds the overall charging and discharging power adjustment threshold of the virtual power plant, causing the integrated storage and charging station equipment in the virtual power plant to be overloaded or over-discharged, thereby damaging the equipment or shortening its service life, can be reduced.

[0014] In some embodiments, generating control instructions corresponding to integrated storage and charging stations based on the winning bid adjustment data includes: determining the final adjustment data corresponding to each integrated storage and charging station during the control period based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period; and generating control instructions corresponding to each integrated storage and charging station based on the final adjustment data corresponding to each integrated storage and charging station during the control period.

[0015] In the above embodiments, by taking into account the adjustable capacity data of each site, the efficiency and rationality of allocating the winning bid adjustment data to each site are improved, so that each site can provide the best charging and discharging adjustment service within its capacity.

[0016] In some embodiments, based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period, the final adjustment data corresponding to each integrated storage and charging station during the control period is determined, including: based on the adjustment type of the winning bid adjustment data, identifying target integrated storage and charging stations with the capability of the adjustment type among at least one integrated storage and charging station; and splitting the winning bid adjustment data based on the power adjustment threshold of the adjustment type declared by each target integrated storage and charging station to obtain the final adjustment data corresponding to each target integrated storage and charging station during the control period.

[0017] In the above embodiments, by selecting target integrated storage and charging stations with adjustment capabilities corresponding to the adjustment type, and allocating winning adjustment data according to the power adjustment threshold of the target integrated storage and charging stations, the efficiency and rationality of allocating winning adjustment data to each station are further improved.

[0018] In some embodiments, the adjustment data includes the operating power of the integrated energy storage and charging station during the control period; the method further includes: before generating the predicted adjustment data of the integrated energy storage and charging station during the control period based on the load forecasting model corresponding to the integrated energy storage and charging station, receiving the invitation plan corresponding to the control period issued by the power dispatching platform; after receiving the application adjustment data sent by the integrated energy storage and charging station, sending an application request for the invitation plan to the power dispatching platform; the application request carries the operating power declared by each integrated energy storage and charging station during the control period; receiving the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the application results corresponding to the operating power declared by each integrated energy storage and charging station.

[0019] In the above embodiments, by sending a declaration request to the power dispatching platform, the virtual power plant can respond to the invitation plan of the power dispatching platform in a timely and accurate manner, ensuring the timeliness and accuracy of power regulation; at the same time, by sending the winning bid regulation data, the power dispatching platform clarifies the final regulation tasks of each integrated storage and charging station, improving the rationality and feasibility of power regulation.

[0020] In some embodiments, generating control instructions corresponding to the integrated storage and charging station based on the winning bid adjustment data includes: if the application result indicates that the application for the operating power of the integrated storage and charging station is successful, determining the operating power of the integrated storage and charging station as the final adjustment data corresponding to the integrated storage and charging station; and generating corresponding control instructions based on the final adjustment data corresponding to the integrated storage and charging station.

[0021] In the above embodiments, the power dispatching platform can flexibly manage and dispatch the operating power of integrated energy storage and charging stations, ensuring the supply and demand balance and stable operation of the entire power system. For stations that successfully apply, their operating power is confirmed, and control commands are generated in a timely manner to ensure that the stations can adjust power according to plan. For stations that require adjustment, the platform can make adjustments based on their actual situation and generate new control commands to ensure that the stations can maximize their economic benefits while meeting system requirements. For stations whose applications are rejected, the platform will not generate control commands, avoiding unnecessary resource waste and misoperation.

[0022] In some embodiments, the method further includes: receiving real-time operating data sent by the integrated storage and charging station during the control period; generating a deviation warning message based on the real-time operating data and the final adjustment data corresponding to the integrated storage and charging station; and sending the deviation warning message to the integrated storage and charging station.

[0023] In the above embodiments, the virtual power plant can achieve real-time monitoring and precise control of integrated energy storage and charging stations. When there is a significant deviation between the operating data and the final adjustment data of the integrated energy storage and charging station, the virtual power plant can promptly generate a deviation warning message to notify the integrated energy storage and charging station to make adjustments, ensuring the stable operation of the power system and the balance between supply and demand.

[0024] On the other hand, this disclosure provides a control device for an integrated energy storage and charging station, applied to a virtual power plant communicatively connected to at least one integrated energy storage and charging station. The control device includes: a sending module for sending predicted adjustment data for a control period to the integrated energy storage and charging station; the predicted adjustment data is generated based on a load forecasting model corresponding to the integrated energy storage and charging station; a receiving module for receiving declared adjustment data sent by the integrated energy storage and charging station; the declared adjustment data is generated based on the predicted adjustment data; a generating module for generating a control command corresponding to the integrated energy storage and charging station based on the winning bid adjustment data; the control command carries the final adjustment data corresponding to the integrated energy storage and charging station; the winning bid adjustment data is obtained after submitting the received declared adjustment data to the power dispatching platform; and a control module for issuing the corresponding control command to the integrated energy storage and charging station; the control command instructs the integrated energy storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

[0025] In another aspect, embodiments of this disclosure provide a computer device, including a memory for storing executable instructions; and a processor for executing some or all of the steps in the above method when executing the executable instructions stored in the memory.

[0026] In another aspect, embodiments of this disclosure provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements some or all of the steps in the above-described method.

[0027] In another aspect, embodiments of this disclosure provide a computer program product, including a computer program or instructions, which, when executed by a processor, implement some or all of the steps in the above-described method.

[0028] In this embodiment, through a load forecasting model, the virtual power plant can accurately predict the regulation needs (such as charging and discharging power, voltage, and current) of the integrated energy storage and charging station during specific time periods, providing strong data support for subsequent grid dispatch. Simultaneously, based on the forecast data and the actual conditions of the stations, the submitted regulation data, after review and confirmation by the power dispatching platform, ensures the stable operation of the power grid. This enables the virtual power plant to allocate and manage power resources more rationally, ensuring the stability and economy of power supply. Furthermore, the virtual power plant and the integrated energy storage and charging station utilize a standardized communication protocol to achieve interaction between them, thereby supporting the distribution network and enhancing the grid's regulation capabilities and stability.

[0029] It should be understood that the above general description and the following detailed description are merely exemplary and explanatory, and are not intended to limit the technical solutions of this disclosure. Attached Figure Description

[0030] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the specification, serve to illustrate the technical solutions of this disclosure.

[0031] Figure 1 is a schematic diagram of a distributed power resource dispatching system provided in an embodiment of this disclosure;

[0032] Figure 2 is a schematic diagram of the implementation process of a control method for an integrated storage and charging station provided in an embodiment of this disclosure;

[0033] Figure 3 is a schematic diagram of the implementation process of a control method for an integrated storage and charging station provided in an embodiment of this disclosure;

[0034] Figure 4 is a schematic diagram of the implementation process of a control method for an integrated storage and charging station provided in an embodiment of this disclosure;

[0035] Figure 5 is a schematic diagram of the implementation process of a control method for an integrated storage and charging station provided in an embodiment of this disclosure;

[0036] Figure 6 is a schematic diagram of a scheduling method in a day-ahead adjustment scenario provided by an embodiment of this disclosure;

[0037] Figure 7 is a schematic diagram of a scheduling method in a same-day adjustment scenario provided by an embodiment of this disclosure;

[0038] Figure 8 is a schematic diagram of the composition structure of a control device for an integrated storage and charging station provided in an embodiment of this disclosure;

[0039] Figure 9 is a schematic diagram of the hardware entity of a computer device provided in an embodiment of this disclosure. Detailed Implementation

[0040] To make the objectives, technical solutions, and advantages of this disclosure clearer, the technical solutions of this disclosure are further described in detail below with reference to the accompanying drawings and embodiments. The described embodiments should not be regarded as limitations on this disclosure. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0041] In the following description, references to "some embodiments" describe a subset of all possible embodiments; however, it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments and may be combined with each other without conflict. The terms "first / second / third" are used merely to distinguish similar objects and do not represent a specific ordering of objects. It is understood that "first / second / third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of this disclosure described herein can be implemented in orders other than those illustrated or described herein.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. The terminology used herein is for descriptive purposes only and is not intended to limit the scope of this disclosure.

[0043] This disclosure provides a control method for an integrated energy storage and charging station. This method is applied to a virtual power plant, which is communicatively connected to at least one integrated energy storage and charging station. The virtual power plant and the at least one integrated energy storage and charging station are all located within a distributed power resource dispatching system. The distributed power resource dispatching system will be described first. This system may include: a power trading system, a power dispatching system, a virtual power plant, and multiple distributed power devices.

[0044] Referring to Figure 1, the distributed power resource dispatching system 10 may include: a power trading system 1011, a power dispatching system 1012, a virtual power plant 102, and distributed power equipment 103.

[0045] The distributed power equipment 103 may include: wind turbine 1031, photovoltaic 1032, integrated energy storage and charging unit 1033, at least one integrated energy storage and charging unit site 1034, electric boiler 1035, and air conditioner 1036.

[0046] The virtual power plant 102 is connected to the power dispatching system 1012 and the power trading system 1011, and multiple distributed power devices 103 are connected to the virtual power plant 102. Among them, the power trading system 1011 is used to publish announcement information (such as planning invitations, etc.); the power dispatching system 1012 is used to perform power dispatching, etc.

[0047] In some embodiments, the distributed power equipment 103 may include power generation equipment, power consumption equipment, and power generation and consumption equipment (i.e., integrated energy storage and charging station). Wind turbine 1031 and photovoltaic 1032 are power generation equipment, integrated energy storage and charging station 1033 and integrated energy storage and charging station 1034 are power generation and consumption equipment, and electric boiler 1035 and air conditioner 1036 are power consumption equipment.

[0048] Figure 2 is a schematic flowchart illustrating the implementation of a control method for an integrated energy storage and charging station according to an embodiment of this disclosure. This method is applied to a virtual power plant, which is communicatively connected to at least one integrated energy storage and charging station. As shown in Figure 2, the method includes the following steps S201 to S204:

[0049] Step S201: Send the predicted adjustment data for the control period to the integrated storage and charging station; the predicted adjustment data is generated based on the load prediction model corresponding to the integrated storage and charging station.

[0050] The load prediction model for the integrated storage and charging station can be generated based on the historical operating data of that integrated storage and charging station.

[0051] In some embodiments, the integrated storage and charging station includes at least one integrated storage unit, and the aforementioned historical operating data includes, but is not limited to, the charging and discharging power, charging and discharging voltage, and charging and discharging current of each integrated storage and charging unit during a historical time period. In this embodiment, the virtual power plant can generate a corresponding load forecasting model for the integrated storage and charging station based on the charging and discharging power, charging and discharging voltage, and charging and discharging current of each integrated storage and charging unit during a historical time period. It is understood that the load forecasting model corresponding to the integrated storage and charging station can be used to directly predict the regulation data of the integrated storage and charging station; the load forecasting model corresponding to the integrated storage and charging station can also include a sub-load forecasting model corresponding to each integrated storage and charging unit, wherein each sub-load forecasting model is used to predict the regulation data of the corresponding integrated storage and charging unit, and the regulation data of the integrated storage and charging station can be obtained by summarizing them. This disclosure does not limit this aspect.

[0052] In some embodiments, the aforementioned adjustment data may include at least one of the following: charging / discharging power, charging / discharging voltage, charging / discharging current, charging power adjustment capability, and discharging power adjustment capability. The charging power adjustment capability characterizes the amount of charging power that the integrated charging and storage station can adjust during an input period; the discharging power adjustment capability characterizes the amount of discharging power that the integrated charging and storage station can adjust during an input period.

[0053] In the above embodiments, the control period is the period during which support needs to be provided to the power grid dispatching platform. Generally, the control period is a future time period, which can be one day, several hours, or even a more granular time period; this disclosure does not limit this.

[0054] In this embodiment of the disclosure, the control period can be input into the load prediction model corresponding to the integrated storage and charging station to obtain the predicted adjustment data of the integrated storage and charging station during the control period.

[0055] In some embodiments, the training scheme for the load forecasting model can adopt the training scheme in related technologies, mainly using historical operating data to predict the charging and discharging power, charging and discharging voltage, charging and discharging current, charging power regulation capability, and discharging power regulation capability of the integrated storage and charging station in a specific period in the future. The above training scheme may include: (1) collecting historical charging and discharging data of the integrated storage and charging station, including power, voltage, current, etc. (2) extracting features from the historical data, such as timestamps, time periods (peak, valley, flat), historical data of the same period, weather conditions, temperature, humidity, etc. (3) cleaning the historical data from which features were extracted to handle missing values ​​and outliers, and standardizing or normalizing the historical data to obtain the final sample data. (4) using the final sample data to train the initial load forecasting model to obtain the trained load forecasting model, which may be, but is not limited to, a Long Short-Term Memory Network (LSTM), a Convolutional Neural Network (CNN), etc. It is understood that the above load forecasting model can periodically update the model parameters with the latest data to improve the prediction accuracy.

[0056] In some embodiments, the virtual power plant sends a response deadline while sending the predicted adjustment data to the integrated energy storage and charging station. If the virtual power plant does not receive the declared adjustment data from the integrated energy storage and charging station before the response deadline, it indicates that the integrated energy storage and charging station has abandoned the declaration.

[0057] Understandably, to support control schemes with more functions, virtual power plants can also simultaneously send at least one of the following: system time, load aggregator unique identifier, event type, invitation plan ID, invitation time, response execution start time, response execution end time, trading instruments (including precise response peak shaving; precise response valley filling), market demand curve (including total network demand during the response execution period, where negative values ​​indicate peak shaving and positive values ​​indicate valley filling), baseline load curve of integrated storage and charging stations, and adjusted load curve of integrated storage and charging stations.

[0058] Step S202: Receive the adjustment data submitted by the integrated storage and charging station; the submitted adjustment data is generated based on the predicted adjustment data.

[0059] In some embodiments, the virtual power plant distributes the predicted adjustment data corresponding to each integrated energy storage and charging station to the respective integrated energy storage and charging station. The operation and maintenance personnel at each integrated energy storage and charging station adjust the predicted adjustment data based on experience, operational needs, and other factors to obtain the requested adjustment data. Then, the integrated energy storage and charging station sends the requested adjustment data to the virtual power plant. Correspondingly, the virtual power plant can receive the requested adjustment data sent by each integrated energy storage and charging station.

[0060] In some embodiments, after receiving the adjustment data submitted by the integrated storage and charging station, the method further includes: generating a data sample for the integrated storage and charging station based on the submitted adjustment data and the predicted adjustment data; adjusting the load forecasting model corresponding to the integrated storage and charging station based on the data sample; and using the adjusted load forecasting model to predict the adjustment data in the next prediction of the integrated storage and charging station's adjustment data. The data sample may also include other data from the current interaction process, such as the corresponding system time, unique identifier of the load aggregator, event type, invitation plan ID, invitation time, response execution start time, response execution end time, trading instrument, market demand curve, baseline load curve of the integrated storage and charging station, and adjusted load curve of the integrated storage and charging station.

[0061] In other embodiments, after receiving the adjustment data submitted by the integrated storage and charging station, the method further includes: saving the submitted adjustment data and the predicted adjustment data; after the control period is reached, obtaining the actual response data based on the real-time operating data of the integrated storage and charging station; then generating a data sample for the integrated storage and charging station based on the submitted adjustment data, the predicted adjustment data, and the actual response data; adjusting the load prediction model corresponding to the integrated storage and charging station based on the data sample; and using the adjusted load prediction model to predict the adjustment data in the next prediction of the adjustment data of the integrated storage and charging station.

[0062] Step S203: Generate control instructions corresponding to the integrated energy storage and charging station based on the winning bid adjustment data; the control instructions carry the final adjustment data corresponding to the integrated energy storage and charging station; the winning bid adjustment data is obtained after submitting the received declared adjustment data to the power dispatching platform; the final adjustment data is obtained by splitting the winning bid adjustment data based on the adjustment data declared by the integrated energy storage and charging station.

[0063] In some embodiments, after receiving the adjustment data submitted by the integrated energy storage and charging station, the virtual power plant submits a declaration to the power dispatching platform based on the received adjustment data, and receives the winning adjustment data from the power dispatching platform. This winning adjustment data is generated by the power dispatching platform based on the adjustment data submitted by the integrated energy storage and charging station.

[0064] In some embodiments, the virtual power plant can directly package and send the declared adjustment data sent by the integrated energy storage and charging station to the power dispatch platform, or it can summarize and analyze the received declared adjustment data sent by the integrated energy storage and charging station to obtain the overall declared data corresponding to that station, and then send the overall declared data to the power dispatch platform. Correspondingly, the winning bid adjustment data can include the final adjustment data corresponding to each integrated energy storage and charging station, and then directly generate control commands carrying the corresponding final adjustment data. Alternatively, the winning bid adjustment data can be the overall adjustment data corresponding to the virtual power plant. After receiving the winning bid adjustment data, the virtual power plant needs to divide the winning bid adjustment data into the final adjustment data corresponding to each integrated energy storage and charging station, and then generate control commands carrying the corresponding final adjustment data for each integrated energy storage and charging station.

[0065] In some embodiments, after receiving the winning bid adjustment data, the virtual power plant can split the winning bid adjustment data based on the adjustment data declared by each integrated storage and charging station, and then obtain the final adjustment data corresponding to each integrated storage and charging station.

[0066] Step S204: Send the corresponding control command to the integrated storage and charging station.

[0067] Among them, the control command is used to instruct the integrated storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

[0068] In this embodiment of the disclosure, the virtual power plant issues corresponding control commands to each integrated energy storage and charging station. Accordingly, after receiving the control command, the integrated energy storage and charging station can adjust its own charging and discharging power during the control period based on the final adjustment data it carries, thereby realizing the support function for the power distribution network and enhancing the regulation capability and stability of the power grid.

[0069] For example, suppose a virtual power plant manages three integrated energy storage and charging stations: Station A, Station B, and Station C. Because the power grid dispatch platform predicts a power shortage during peak hours (e.g., 4 PM to 6 PM tomorrow), it requests the virtual power plant to reduce charging power and increase discharging power to alleviate grid load. In this case, the control commands generated for each station could be: Station A: Set the charging power to 100kW and the discharging power to 200kW during peak hours (4 PM to 6 PM); Station B: Maintain the charging power at 50kW and the discharging power at 150kW; Station C: Completely suspend charging operations and set the discharging power to 250kW. The virtual power plant, based on a preset communication protocol, sends these control commands to each integrated energy storage and charging station. After receiving the instruction, Station A adjusted its integrated energy storage and charging unit to operate at a power of 100kW and ensured that the discharging equipment could respond to the grid demand at a power of 200kW; Station B set its integrated energy storage and charging unit to 50kW and prepared to discharge at a power of 150kW when needed; after receiving the instruction, Station C suspended all charging operations and prepared to discharge at a power of 250kW.

[0070] In this embodiment, through a load forecasting model, the virtual power plant can accurately predict the regulation needs (such as charging and discharging power, voltage, and current) of the integrated energy storage and charging station during specific time periods, providing strong data support for subsequent grid dispatch. Simultaneously, based on the forecast data and the actual conditions of the stations, the submitted regulation data, after review and confirmation by the power dispatching platform, ensures the stable operation of the power grid. This enables the virtual power plant to allocate and manage power resources more rationally, ensuring the stability and economy of power supply. Furthermore, the virtual power plant and the integrated energy storage and charging station utilize a standardized communication protocol to achieve interaction between them, thereby supporting the distribution network and enhancing the grid's regulation capabilities and stability.

[0071] Figure 3 is a schematic flowchart illustrating the implementation of a control method for an integrated energy storage and charging station according to an embodiment of this disclosure. This method can be executed by a processor of a control device located in a virtual power plant. Based on Figure 2, the method further includes steps S301 and S302, which will be described in conjunction with the steps shown in Figure 3.

[0072] Step S301: Generate overall adjustment capacity data based on the adjustable capacity data reported by each integrated storage and charging station during the control period.

[0073] Among them, the overall regulation capacity data is used to characterize the virtual power plant's ability to adjust charging power and / or discharging power during the control period.

[0074] In this embodiment, step S301 is actually a process by which the virtual power plant generates overall regulation capacity data representing the entire virtual power plant during a specific control period, based on the adjustable capacity data (including charging power adjustment thresholds and discharging power adjustment thresholds) reported by each integrated charging and storage station it manages during that control period. This overall regulation capacity data characterizes the flexibility of the virtual power plant in adjusting its own charging and discharging power during the control period.

[0075] In some embodiments, the overall regulation capability data is used to characterize the virtual power plant's charging power adjustment capability during the control period, and it can also characterize the virtual power plant's discharging power adjustment capability during the control period. Of course, it can also characterize both the charging power adjustment capability and the discharging power adjustment capability of the virtual power plant during the control period. It is understood that this is related to the operating mode of each integrated charging and storage unit in the virtual power plant.

[0076] In this embodiment of the disclosure, the virtual power plant collects the adjustable capacity data of each integrated storage and charging station during a specific control period, including the charging power adjustment threshold and the discharging power adjustment threshold, and then summarizes and calculates the data to obtain the overall charging power adjustment threshold and the overall discharging power adjustment threshold of the entire virtual power plant during that period.

[0077] For example, if all the integrated energy storage and charging units in the virtual power plant are in charging mode, and the virtual power plant manages three integrated energy storage and charging unit sites A, B, and C, the adjustable capacity data during a certain control period are as follows: Site A: charging power adjustment threshold +100kW to -50kW (meaning that the charging power can be increased by 100kW or decreased by 50kW), Site B: charging power adjustment threshold +80kW to -30kW, Site C: charging power adjustment threshold +60kW to -20kW. Then, the overall charging power adjustment threshold of the virtual power plant during this control period can be obtained by summing the adjustment thresholds of each site, that is, +240kW (100kW+80kW+60kW) to -100kW (50kW+30kW+20kW).

[0078] Based on step S301 above, the virtual power plant can accurately and quickly generate its overall regulation capacity data within a specific control period, providing important reference information for the power dispatching platform. This helps the power dispatching platform better understand the regulation capacity and flexibility of the virtual power plant, thereby formulating more reasonable dispatching strategies and improving the overall operating efficiency and stability of the power grid. Simultaneously, this also facilitates collaborative cooperation between the virtual power plant and the power dispatching platform, jointly promoting the development of the smart grid.

[0079] In some embodiments, the adjustable capability data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; the overall adjustable capability data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold. The above-mentioned overall adjustable capability data can be generated based on the adjustable capability data of each integrated charging and storage station during the control period through at least one of steps S3011 and S3012.

[0080] Step S3011: Based on the charging power adjustment thresholds declared by each integrated energy storage and charging station during the control period, generate the overall charging power adjustment threshold corresponding to the virtual power plant.

[0081] In some embodiments, the charging power adjustment threshold is the range of charging power that a charging and storage integrated station can increase or decrease within a specific control period. This charging power adjustment threshold characterizes the station's charging capacity adjustment space within that period.

[0082] Step S3012: Based on the discharge power adjustment thresholds declared by each integrated storage and charging station during the control period, generate the overall discharge power adjustment threshold corresponding to the virtual power plant.

[0083] In some embodiments, the discharge power adjustment threshold is the range of discharge power that a storage and charging station can increase or decrease within a specific control period. This discharge power adjustment threshold characterizes the station's discharge capacity adjustment space within that period.

[0084] In the above embodiments, the virtual power plant collects the charging or discharging power adjustment thresholds reported by each integrated storage and charging station during a specific control period, and then calculates the overall charging or discharging power adjustment threshold of the entire virtual power plant during that period by means of accumulation or weighting.

[0085] In this embodiment of the disclosure, by calculating the overall discharge power adjustment threshold and the overall charging power adjustment threshold respectively, the adjustment space of the overall discharge capacity of the virtual power plant during the time period can be obtained, thereby providing a data basis for the subsequent application process; at the same time, since the charging and discharging power adjustment thresholds of each integrated storage and charging station are aggregated, the amount of calculation required by the distribution network in responding to the application request can be reduced, and the response efficiency can be improved.

[0086] Step S302: Submit overall regulation capacity data to the power dispatching platform.

[0087] In this process, after generating overall regulation capacity data based on the adjustable capacity data submitted by each integrated energy storage and charging station during a specific control period, the virtual power plant submits the overall regulation capacity data to the power dispatching platform. In some embodiments, after receiving the overall regulation capacity data sent by the virtual power plant, the power dispatching platform verifies and checks the data. If the data has problems or does not meet the requirements, the power dispatching platform will provide feedback to the virtual power plant and request it to resend. After the power dispatching platform confirms the accuracy and validity of the overall regulation capacity data, it will formulate a more reasonable and optimized power grid dispatching plan based on the virtual power plant's regulation capacity and the actual needs of the power grid, and issue the corresponding winning regulation data to the virtual power plant.

[0088] In some embodiments, the method further includes step S303.

[0089] Step S303: Receive the winning bid adjustment data sent by the power dispatching platform.

[0090] The winning bid adjustment data includes the target charging power adjustment value and / or the target discharging power adjustment value; the target charging power adjustment value is less than or equal to the overall charging power adjustment threshold, and the target discharging power adjustment value is less than or equal to the overall discharging power adjustment threshold.

[0091] In this embodiment, since the virtual power plant is a participant in the electricity market, each of its multiple integrated energy storage and charging stations has its specific energy storage capacity and operational limitations. When issuing adjustment commands, the power dispatch platform must ensure that these commands are within the operational range of the virtual power plant, i.e., the winning bid adjustment data cannot exceed the overall charging and discharging power adjustment threshold of the virtual power plant. In this way, the virtual power plant can safely and effectively adjust the charging and discharging power of each integrated energy storage and charging station based on the received winning bid adjustment data.

[0092] Based on this, by using the above step S303, the situation where the adjustment command issued by the power dispatching platform exceeds the overall charging and discharging power adjustment threshold of the virtual power plant, causing the integrated storage and charging station equipment in the virtual power plant to be overloaded or over-discharged, thereby damaging the equipment or shortening its service life, can be reduced.

[0093] In some embodiments, step S203 can be implemented as follows: based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period, determine the final adjustment data corresponding to each integrated storage and charging station during the control period; based on the final adjustment data corresponding to each integrated storage and charging station during the control period, generate control instructions corresponding to each integrated storage and charging station.

[0094] In this embodiment, the adjustable capacity data declared by each integrated storage and charging station during the control period reflects the station's adjustment capability during that period. A larger declared adjustable capacity data indicates stronger energy-saving capability, while a smaller declared adjustable capacity data indicates weaker energy-saving capability. Therefore, the winning adjustment data can be split based on the declared adjustable capacity data of each integrated storage and charging station during the control period to obtain the final adjustment data corresponding to each station during the control period. It is understood that the sum of the final adjustment data of each integrated storage and charging station constitutes the winning adjustment data.

[0095] Among them, the adjustable capacity data declared by the above-mentioned integrated energy storage and charging station during the control period is the same, and the final adjustment data is also the adjustment value of the charging power and / or discharging power of the integrated energy storage and charging station during the control period.

[0096] The virtual power plant can be proportionally divided based on the adjustable capacity data of each integrated energy storage and charging station. For example, if the virtual power plant includes multiple integrated energy storage and charging stations (stations A, B, and C), and the winning bid adjustment data is an increase of 500kW in charging power for the virtual power plant, and the adjustable capacity data of stations A, B, and C during the control period are 200kW, 300kW, and 150kW respectively (all are charging power adjustment thresholds for the integrated energy storage and charging stations in this example), it can be seen that station B has the largest adjustable capacity (300kW), station A has a moderate adjustable capacity (200kW), and station C has the smallest adjustable capacity (150kW). Therefore, the final adjustment data for stations A, B, and C during the control period are: an increase of 154kW in charging power, an increase of 231kW in charging power, and an increase of 115kW in charging power.

[0097] The virtual power plant can allocate the bidding adjustment data based on the adjustable capacity data of each integrated energy storage and charging station, prioritizing the stations with larger adjustable capacity data. For example, if the adjustable capacity data of stations A, B, and C during the control period are 200kW, 300kW, and 150kW respectively, and the bidding adjustment data is an increase of 500kW of charging power, then station B (with the strongest capacity) is prioritized: Station B has an adjustable capacity of 300kW, so it is first assigned as much adjustment task as possible until it reaches its limit. Therefore, station B undertakes a 300kW increase in charging power. At this point, the remaining adjustment task is 500kW - 300kW = 200kW. Next, station A (with moderate capacity) is satisfied: Station A has an adjustable capacity of 200kW, sufficient to handle the remaining 200kW adjustment task. Therefore, station A undertakes the remaining 200kW increase in charging power. Station C does not need to participate. The final adjustment data for sites A, B, and C during the control period are: an increase of 200kW charging power, an increase of 300kW charging power, and no participation in adjustment (or maintaining the original state). This prioritizes sites with strong capabilities while ensuring that the winning adjustment tasks are fully allocated.

[0098] It is understood that, in order to clearly explain the technical solution of this disclosure, the adjustment data in the control period in the above embodiments are all illustrated using a single point in time as an example. In specific implementation scenarios, the adjustment data can be the adjustment data for each of the multiple points in the control period. For example, the adjustment data can be a data curve with 15-minute intervals, which displays the adjustment data of the station within each 15-minute time period.

[0099] In this embodiment of the disclosure, by taking into account the adjustable capacity data of each site, the efficiency and rationality of allocating the winning bid adjustment data to each site are improved, so that each site can provide the best charging and discharging adjustment service within its capacity.

[0100] In some embodiments, the above-mentioned determination of the final adjustment data corresponding to each integrated storage and charging station during the control period based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period can be achieved by the following implementation method: based on the adjustment type of the winning bid adjustment data, a target integrated storage and charging station with the capability of the adjustment type is determined among at least one integrated storage and charging station; based on the power adjustment threshold of the adjustment type declared by each target integrated storage and charging station, the winning bid adjustment data is split to obtain the final adjustment data corresponding to each target integrated storage and charging station during the control period.

[0101] The aforementioned winning bid adjustment data may include adjustment type (charging or discharging) and adjustment amount (the value of power increase or decrease). The integrated energy storage and charging station in this embodiment is a device station with energy storage and charging / discharging functions, capable of absorbing and releasing energy in the power system to respond to the grid's adjustment needs. However, since the aforementioned declared adjustable capacity data may be based on operational conditions or equipment status, there may be a lack of charging capacity or a lack of discharging capacity during the control period. Therefore, it is necessary to first determine the target integrated energy storage and charging station with the adjustment type capability among at least one integrated energy storage and charging station based on the adjustment type of the winning bid adjustment data.

[0102] In this embodiment, based on the regulation type of the virtual power plant's winning bid regulation data, firstly, integrated storage and charging stations with the corresponding regulation type capabilities can be selected as target integrated storage and charging stations. Then, according to the power adjustment threshold declared by each target integrated storage and charging station, the winning bid regulation data is reasonably split and allocated to obtain the final regulation data corresponding to each target integrated storage and charging station during the control period.

[0103] For example, the bid adjustment data requires an increase of 500kW of discharge power. Of the four integrated energy storage and charging stations A, B, C, and D, stations A and B have discharge capabilities, while stations C and D do not. The declared discharge power adjustment thresholds for each station are obtained: the threshold for station A is 200kW, the threshold for station B is 300kW, and stations C and D, in this example, do not have discharge capabilities and therefore do not participate in the adjustment task. Of the four stations A, B, C, and D, only A and B have discharge capabilities, therefore A and B become the target integrated energy storage and charging stations. During the proportional splitting of the bid adjustment data, the final adjustment data for stations A, B, C, and D during the control period is: station A increases discharge power by 200kW, station B increases discharge power by 300kW, and stations C and D do not participate in the adjustment (because they do not have discharge capabilities).

[0104] In this embodiment of the disclosure, by selecting target integrated storage and charging stations with adjustment capabilities corresponding to the adjustment type, and allocating winning adjustment data according to the power adjustment threshold of the target integrated storage and charging stations, the efficiency and rationality of allocating winning adjustment data to each station are further improved.

[0105] Figure 4 is a schematic flowchart illustrating the implementation of a control method for an integrated energy storage and charging station according to an embodiment of this disclosure. Based on Figure 2, the adjustment data includes the operating power of the integrated energy storage and charging station during the control period. The method also includes steps S401 to S403, which will be explained in conjunction with the steps shown in Figure 4.

[0106] Step S401: Before generating the forecast and adjustment data of the integrated storage and charging station during the control period based on the load forecast model corresponding to the integrated storage and charging station, receive the invitation plan corresponding to the control period issued by the power dispatching platform.

[0107] The power dispatching platform formulates invitation plans based on the real-time supply and demand situation of the power system and issues them to various power suppliers or power users. Virtual power plants, as a type of power supplier, receive these invitation plans from the power dispatching platform. Based on these plans, the virtual power plant utilizes the load forecasting models of each of its integrated energy storage and charging stations to predict the forecasted adjustment data for those stations during the control period.

[0108] In this embodiment, the power dispatching platform issues an invitation plan, explicitly specifying the control periods during which integrated energy storage and charging stations need to participate in regulation. Upon receiving the invitation plan, the virtual power plant uses the load forecasting model of each integrated energy storage and charging station to predict the operating power during the specified control periods, and generates predicted regulation data for each station accordingly. This predicted regulation data can be the operating power of the integrated energy storage and charging station during the control periods. This operating power may include charging power and / or discharging power.

[0109] Step S402: After receiving the application adjustment data sent by the integrated energy storage and charging station, send an application request for the invitation plan to the power dispatching platform; the application request carries the operating power of each integrated energy storage and charging station during the control period.

[0110] The application request is used to respond to the invitation plan previously issued by the power dispatch platform and includes the planned operating power of each integrated energy storage and charging station during the (application) control period.

[0111] For example, the power dispatch platform issues an invitation plan, requiring a virtual power plant to perform power regulation during the period from 10:00 to 12:00. After receiving the invitation plan, the virtual power plant sends the predicted regulation data to each integrated energy storage and charging station and collects the declared regulation data from each integrated energy storage and charging station. In the case of integrated energy storage and charging station A and integrated energy storage and charging station B, integrated energy storage and charging station A declares that it can provide 500kW of discharge power during the period from 10:00 to 12:00; integrated energy storage and charging station B declares that it can provide 300kW of charging power during the same period.

[0112] Step S403: Receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the declaration results corresponding to the operating power declared by each integrated storage and charging station.

[0113] After receiving all the application requests from virtual power plants, the power dispatch platform will determine and issue the winning bid adjustment data based on a comprehensive consideration of factors such as system demand and resource availability. This winning bid adjustment data can confirm, reject, or adjust the operating power declared by the integrated energy storage and charging station.

[0114] Based on the aforementioned example, after receiving the application request, the power dispatch platform, through analysis and calculation, decides to accept the discharge power application of site A, but adjusts the charging power of site B to 200kW. The power dispatch platform then sends the above information as the winning bid adjustment data to the virtual power plant.

[0115] Based on the above embodiments, by sending a declaration request to the power dispatching platform, the virtual power plant can respond to the invitation plan of the power dispatching platform in a timely and accurate manner, ensuring the timeliness and accuracy of power regulation; at the same time, by sending the winning bid regulation data, the power dispatching platform clarifies the final regulation tasks of each integrated storage and charging station, improving the rationality and feasibility of power regulation.

[0116] In some embodiments, step S203 can be implemented as follows: if the declaration result indicates that the declared operating power of the integrated storage and charging station is successfully declared, the declared operating power of the integrated storage and charging station is determined as the final adjustment data corresponding to the integrated storage and charging station; based on the final adjustment data corresponding to the integrated storage and charging station, a corresponding control command is generated.

[0117] In some embodiments, step S203 can be implemented as follows: if the declaration result indicates that the declared operating power of the integrated storage and charging station needs to be adjusted, the adjusted operating power is determined as the final adjustment data corresponding to the integrated storage and charging station; based on the final adjustment data corresponding to the integrated storage and charging station, a corresponding control command is generated.

[0118] In some embodiments, the method further includes: if the application result indicates that the declared operating power of the integrated storage and charging station is rejected, then the control command corresponding to the integrated storage and charging station is not generated.

[0119] For example, a virtual power plant has three integrated energy storage and charging stations, A, B, and C, participating in the power dispatch platform's application. Station A applied for an operating power of 500kW, which was successful. The power dispatch platform accepted the application and determined the final adjustment data to be 500kW. Subsequently, the virtual power plant generated a control command based on this final adjustment data, requiring station A to provide 500kW of discharge power within a specified time period. Station B applied for an operating power of 300kW, but the application result needed adjustment. The power dispatch platform suggested adjusting its operating power to 250kW and determined the final adjustment data to be 250kW. Next, the virtual power plant generated a control command based on this final adjustment data, requiring station B to provide 250kW of discharge power within a specified time period. Station C applied for an operating power of 400kW, but its application was rejected. The power dispatch platform did not accept its application, and therefore no final adjustment data was generated. Because the application was rejected, the virtual power plant did not generate a control command for station C.

[0120] Based on the above embodiments, the power dispatching platform can flexibly manage and dispatch the operating power of integrated energy storage and charging stations, ensuring the supply and demand balance and stable operation of the entire power system. For stations that successfully apply, their operating power is confirmed, and control commands are generated in a timely manner to ensure that the stations can adjust power according to plan. For stations that require adjustment, the platform can make adjustments based on their actual situation and generate new control commands to ensure that the stations can maximize their economic benefits while meeting system requirements. For stations whose applications are rejected, the platform will not generate control commands, avoiding unnecessary resource waste and misoperation.

[0121] Figure 5 is a schematic flowchart illustrating the implementation of a control method for an integrated storage and charging station according to an embodiment of this disclosure. Based on Figure 2, the method may further include steps S501 and S503, which will be described in conjunction with the steps shown in Figure 5.

[0122] Step S501: Receive real-time operation data sent by the integrated storage and charging station during the control period.

[0123] The real-time operational data characterizes the actual operating status and performance of the integrated charging and storage station during the control period. In some embodiments, the real-time operational data includes, but is not limited to, operating parameters such as charging and discharging power, battery capacity, voltage, and current.

[0124] Step S502: Generate a deviation warning message based on real-time operating data and the final adjustment data corresponding to the integrated storage and charging station.

[0125] In some embodiments, where the final adjustment data refers to the charging power adjustment value and / or discharging power adjustment value of the integrated charging and storage station during the control period, the virtual power plant can obtain the charging power and / or discharging power of the integrated charging and storage station before adjustment, and the charging power and / or discharging power after adjustment, and calculate the actual charging power adjustment value and / or actual discharging power adjustment value of the integrated charging and storage station. On one hand, the deviation between the actual charging power adjustment value and the charging power adjustment value in the final adjustment data can be calculated. If the deviation exceeds the charging adjustment threshold, a charging adjustment deviation warning message is generated. On the other hand, the deviation between the actual discharging power adjustment value and the discharging power adjustment value in the final adjustment data can also be calculated. If the deviation exceeds the discharging adjustment threshold, a discharging adjustment deviation warning message is generated. It is understood that the deviation value can be the difference between the actual power adjustment value and the power adjustment value in the final adjustment data, or it can be the ratio of the difference to the power adjustment value in the final adjustment data.

[0126] Step S503: Send a deviation warning message to the integrated storage and charging station.

[0127] In cases where there is a significant deviation between real-time operating data and final adjustment data, the virtual power plant automatically generates the aforementioned deviation warning message and sends it to the integrated energy storage and charging station. This deviation warning message promptly alerts the operation and maintenance personnel of the integrated energy storage and charging station to pay attention to the station's operating status and take appropriate measures for adjustment.

[0128] For example, the final regulation data for integrated energy storage and charging station A is to provide a discharge power of 300kW during the control period. In real-time operation, the virtual power plant receives real-time operation data showing that the discharge power of station A is 280kW. Since the deviation is small (not exceeding the threshold), the system will not generate a deviation warning message. However, if the real-time operation data shows that the discharge power of station A is 250kW, due to a large deviation (exceeding the threshold), the system will immediately generate a deviation warning message and send it to station A. Upon receiving the message, the administrator or operator of station A can promptly understand the station's operating status and take corresponding measures to adjust it, ensuring that the station meets the requirements of the final regulation data.

[0129] In this embodiment, the virtual power plant can achieve real-time monitoring and precise control of integrated energy storage and charging stations. When there is a significant deviation between the operating data and the final adjustment data of the integrated energy storage and charging station, the virtual power plant can promptly generate a deviation warning message to notify the integrated energy storage and charging station to make adjustments, thereby ensuring the stable operation of the power system and the balance between supply and demand.

[0130] The following describes the application of the control method for the integrated energy storage and charging station provided in this embodiment in a real-world scenario, mainly involving the control process of the integrated energy storage and charging station by a virtual power plant.

[0131] This disclosure provides a technical solution for interconnecting a virtual power plant with an integrated energy storage and charging station. Based on this interconnection, the virtual power plant can schedule the integrated energy storage and charging station, thereby providing support for the power distribution network and enhancing the regulation capability and stability of the power grid.

[0132] In this embodiment of the disclosure, an information transmission protocol is constructed between the virtual power plant and the integrated storage and charging station to complete the transmission of the following types of data.

[0133] (1) Real-time operation data of the integrated storage and charging station.

[0134] The integrated storage and charging station includes at least one integrated storage and charging unit. The integrated storage and charging station can send data reporting messages to the virtual power plant through the data reporting interface provided by the information transmission protocol. The data reporting messages are used to upload the real-time operating data of the integrated storage and charging unit.

[0135] The data reporting message includes the system time and the real-time operating data of the integrated energy storage and charging unit. This real-time operating data includes the identifier of the integrated energy storage and charging unit, the data time, the power of the integrated energy storage and charging unit, the voltage of the integrated energy storage and charging unit, and the current of the integrated energy storage and charging unit.

[0136] (2) Historical operation data of integrated storage and charging stations.

[0137] The virtual power plant sends a query request to the integrated energy storage and charging station through the data query interface provided by the information transmission protocol to query the historical operation data of the integrated energy storage and charging station. The query request includes the system time, the identifier of the integrated energy storage and charging station, the identifier of the integrated energy storage and charging station that needs to be supplemented (in the form of a set), the start time of the historical data, and the end time of the historical data. In response to the query request, the integrated energy storage and charging station sends a data feedback message to the virtual power plant. The data feedback message is used to upload the historical operation data of the integrated energy storage and charging station.

[0138] The historical operating data carried in the data feedback message includes the identifier of the integrated storage and charging unit, the data time, the power of the integrated storage and charging unit, the voltage of the integrated storage and charging unit, and the current of the integrated storage and charging unit.

[0139] Understandably, virtual power plants can generate corresponding load forecasting models based on the aforementioned historical operating data.

[0140] (3) The virtual power plant sends an invitation notice to the integrated storage and charging station.

[0141] The virtual power plant calls the invitation transmission interface provided by the information transmission protocol to send out a demand response invitation.

[0142] The response invitation data includes system time, unique identifier of load aggregator, event type, invitation plan ID, invitation time, deadline for invitation response, start time of response execution, end time of response execution, trading instrument (including precise response peak shaving RQXF; precise response valley filling RQTG), market demand curve (including total network demand during the response execution period, where negative values ​​indicate peak shaving and positive values ​​indicate valley filling), baseline load curve of integrated storage and charging station, and adjusted load curve of integrated storage and charging station.

[0143] In some embodiments, the market demand curve includes the average power of market demand for each time interval. The baseline load curve of the integrated storage and charging station includes the identifier of the integrated storage and charging station and the average operating power of the integrated storage and charging station for each time interval. The adjustable load curve of the integrated storage and charging station includes the identifier of the integrated storage and charging station and the maximum adjustable power of the integrated storage and charging station for each time interval.

[0144] Understandably, the aforementioned baseline load curve and adjusted load curve are used as a reference for administrators of integrated power supply, storage, and charging stations to submit response plans.

[0145] (4) The integrated storage and charging station sends application data to the virtual power plant.

[0146] The integrated storage and charging station calls the response transmission interface provided by the information transmission protocol to send the application request.

[0147] The request includes the invitation program ID and the application data that need to be responded to.

[0148] In some embodiments, the declaration data includes time, declaration capacity, declaration price, and adjustable capacity.

[0149] (5) The virtual power plant sends the winning bid data to the integrated storage and charging station.

[0150] The virtual power plant actively calls the bidding information transmission interface provided by the information transmission protocol to send out the bidding information.

[0151] The winning bid information includes system time, plan number, plan name, invitation plan ID, response date (the date corresponding to the start and end time of response execution), unique identifier of load aggregator, event type, price curve, scheduling plan, and overall plan.

[0152] In some embodiments, the price curves mentioned above include the price curves (unit: yuan / MWh) of the integrated storage and charging station in various time intervals. The scheduling plan mentioned above includes the operating power curves of the integrated storage and charging station in various time intervals. The overall plan mentioned above includes: the identification of the integrated storage and charging station and the overall power curve. The overall power curve includes the average power of the integrated storage and charging station in various time intervals.

[0153] (6) The virtual power plant sends deviation alarm information to the integrated storage and charging station.

[0154] The virtual power plant actively calls the alarm interface provided by the information transmission protocol to send deviation alarm information, and the time granularity can be determined later.

[0155] The deviation alarm information includes the creation time, the identifier of the integrated storage and charging station, the invitation plan ID, the deviation rate, the alarm level, and the response type (day-ahead precise response, real-time precise response, 5G frequency modulation).

[0156] Understandably, after the aforementioned deviation alarm information is sent to the integrated storage and charging station, the station's administrators can adaptively adjust the station's power based on the deviation rate in the alarm information.

[0157] Based on the information transmission protocol between the virtual power plant and the integrated energy storage and charging station, as well as the transmission of the aforementioned various types of data, the control process of the integrated energy storage and charging station can be realized in various scenarios. The following will exemplify the scheduling method of the virtual power plant using day-ahead adjustment scenario, day-to-day adjustment scenario, and deviation alarm scenario.

[0158] Please refer to Figure 6, which illustrates a schematic diagram of the scheduling method in the current adjustment scenario.

[0159] Step S601: On day D-1, the virtual power plant pushes the maximum responsive capacity for the demand period to the integrated storage and charging station.

[0160] After the power grid initiates a request on D-1, the virtual power plant will assess the maximum responsiveness of the integrated storage and charging station during the demand period based on the load forecast results (the maximum responsiveness is a complete shutdown), and push the maximum responsiveness to the integrated storage and charging station.

[0161] Step S602: The integrated storage and charging station transmits the final application response volume for the demand period to the virtual power plant.

[0162] Among them, the maintenance personnel of the integrated storage and charging station can adjust the result based on their experience and operational needs, and generate the final application response volume before the agreed time.

[0163] Step S603: The virtual power plant pushes the winning bid results to the integrated storage and charging station.

[0164] The virtual power plant operators collect the final application response volume of each integrated energy storage and charging station and submit the application. After winning the bid, the virtual power plant will push the bidding results to the integrated energy storage and charging station. In other words, the response volume of the bid corresponding to the demand period will be pushed to the integrated energy storage and charging station.

[0165] Step S604: During the demand period on Day D, the integrated storage and charging station will adjust its charging and discharging plan based on the winning bid response volume to meet the aforementioned winning bid response volume.

[0166] In some embodiments, the virtual power plant monitors real-time power, calculates response quantities, issues deviation warnings, and ensures effective response.

[0167] In some embodiments, the virtual power plant sends detailed settlement invoices to the integrated storage and charging station. Market revenue is published monthly; after the results are released, the virtual power plant verifies the revenue and issues detailed settlement invoices to the integrated storage and charging station.

[0168] Please refer to Figure 7, which shows a schematic diagram of the scheduling method in the daily adjustment scenario.

[0169] Step S701: On day D-1, the virtual power plant pushes the adjustable capacity curve for the next day to the integrated storage and charging station.

[0170] The virtual power plant will evaluate the adjustable capacity curve of the integrated storage and charging station at 96 points the next day based on the load forecast results. The evaluation value is the maximum adjustable amount at each 15-minute point (the maximum adjustable amount is a complete shutdown), and push the adjustable capacity curve at 96 points the next day to the integrated storage and charging station.

[0171] Step S702: The integrated storage and charging station transmits the application curve to the virtual power plant.

[0172] Among them, the personnel at the integrated storage and charging station interface can combine their experience and operational needs to adjust the adjustable capacity curve for the next day's 96 points, and generate the final declaration curve before the agreed time.

[0173] Step S703: The virtual power plant summarizes the application curves of each integrated storage and charging station and submits the application.

[0174] Step S704: On day D, receive the control instructions issued by the power grid. Based on the reporting curves of each integrated storage and charging station, split the dispatch instructions and then send the control instructions to each integrated storage and charging station.

[0175] On day D, the power grid issues a control instruction to the virtual power plant (this instruction may be lower than the declared value). The virtual power plant will split the control instruction and issue it to the integrated storage and charging station based on the 96 adjustable capacity points declared by the integrated storage and charging station, the current charging power, and the current discharging power (the splitting mode can be equal proportion or priority fulfillment). The charging power / discharging power will be adjusted accordingly.

[0176] Step S705: The integrated storage and charging station adjusts its own charging and discharging plan based on the control command.

[0177] In some embodiments, the virtual power plant monitors real-time power, calculates response quantities, issues deviation warnings, and ensures effective response.

[0178] In some embodiments, the virtual power plant sends detailed settlement invoices to the integrated storage and charging station. Market revenue is published monthly; after the results are released, the virtual power plant verifies the revenue and issues detailed settlement invoices to the integrated storage and charging station.

[0179] In some embodiments, virtual power plants can also utilize 5G network slicing technology to achieve fast, real-time frequency regulation services, thereby improving the grid's regulation capabilities and stability.

[0180] Through the technical solutions provided in the above embodiments, virtual power plants can more effectively dispatch distributed resources such as integrated energy storage and charging stations to participate in grid demand response and frequency regulation services, thereby enhancing the grid's regulation capabilities and stability. Simultaneously, through real-time monitoring and deviation alarms, virtual power plants can ensure that the charging and discharging plans of integrated energy storage and charging stations are consistent with grid demand, improving overall energy utilization efficiency and market responsiveness.

[0181] Based on the foregoing embodiments, this disclosure provides a control device for an integrated storage and charging station. The device includes various units and modules included in each unit, which can be implemented by a processor in a computer device; of course, it can also be implemented by specific logic circuits. In the implementation process, the processor can be a central processing unit (CPU), a microprocessor unit (MPU), a digital signal processor (DSP), or a field programmable gate array (FPGA), etc.

[0182] Figure 8 is a schematic diagram of the composition of a control device for an integrated storage and charging station provided in an embodiment of this disclosure. As shown in Figure 8, the control device 800 for the integrated storage and charging station includes: a sending module 810, a receiving module 820, a generating module 830, and a control module 840, wherein:

[0183] The sending module 810 is used to send the predicted adjustment data for the control period to the integrated energy storage and charging station; the predicted adjustment data is generated based on the load prediction model corresponding to the integrated energy storage and charging station; the receiving module 820 is used to receive the declared adjustment data sent by the integrated energy storage and charging station; the declared adjustment data is generated based on the predicted adjustment data; the generating module 830 is used to generate the control command corresponding to the integrated energy storage and charging station based on the winning bid adjustment data; the control command carries the final adjustment data corresponding to the integrated energy storage and charging station; the winning bid adjustment data is obtained after submitting the received declared adjustment data to the power dispatching platform; the final adjustment data is obtained by splitting the winning bid adjustment data based on the adjustment data declared by the integrated energy storage and charging station; the control module 840 is used to issue the corresponding control command to the integrated energy storage and charging station; the control command is used to instruct the integrated energy storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

[0184] In some embodiments, the adjustment data includes adjustable capacity data of the integrated energy storage and charging station during the control period, the adjustable capacity data characterizing the charging power adjustment capability and / or discharging power adjustment capability of the integrated energy storage and charging station during the control period; the sending module 810 is further configured to: generate overall adjustment capacity data based on the adjustable capacity data reported by each integrated energy storage and charging station during the control period; the overall adjustment capacity data is used to characterize the charging power adjustment capability and / or discharging power adjustment capability of the virtual power plant during the control period; and report the overall adjustment capacity data to the power dispatching platform.

[0185] In some embodiments, the adjustable capability data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; the sending module 810 is further configured to: generate an overall charging power adjustment threshold corresponding to the virtual power plant based on the charging power adjustment thresholds declared by each integrated energy storage and charging station during the control period; and / or, generate an overall discharging power adjustment threshold corresponding to the virtual power plant based on the discharging power adjustment thresholds declared by each integrated energy storage and charging station during the control period; wherein, the overall adjustable capability data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold.

[0186] In some embodiments, the receiving module 820 is further configured to: receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the target charging power adjustment value and / or the target discharging power adjustment value; the target charging power adjustment value is less than or equal to the overall charging power adjustment threshold, and the target discharging power adjustment value is less than or equal to the overall discharging power adjustment threshold.

[0187] In some embodiments, the generation module 830 is further configured to: determine the final adjustment data corresponding to each integrated storage and charging station during the control period based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period; and generate control instructions corresponding to each integrated storage and charging station based on the final adjustment data corresponding to each integrated storage and charging station during the control period.

[0188] In some embodiments, the generation module 830 is further configured to: determine, based on the adjustment type of the winning bid adjustment data, a target storage and charging integrated station with the capability of adjustment type among at least one storage and charging integrated station; and split the winning bid adjustment data based on the power adjustment threshold of the adjustment type declared by each target storage and charging integrated station to obtain the final adjustment data corresponding to each target storage and charging integrated station during the control period.

[0189] In some embodiments, the adjustment data includes the operating power of the integrated energy storage and charging station during the control period; the receiving module 820 is further configured to: receive the invitation plan corresponding to the control period issued by the power dispatching platform before generating the predicted adjustment data of the integrated energy storage and charging station during the control period based on the load forecasting model corresponding to the integrated energy storage and charging station; the sending module 810 is further configured to: after receiving the application adjustment data sent by the integrated energy storage and charging station, send an application request for the invitation plan to the power dispatching platform; the application request carries the operating power declared by each integrated energy storage and charging station during the control period; receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the application result corresponding to the operating power declared by each integrated energy storage and charging station.

[0190] In some embodiments, the generation module 830 is further configured to: determine the operating power declared by the integrated storage and charging station as the final adjustment data corresponding to the integrated storage and charging station when the declaration result indicates that the declaration of the operating power declared by the integrated storage and charging station is successful; and generate corresponding control commands based on the final adjustment data corresponding to the integrated storage and charging station.

[0191] In some embodiments, the generation module 830 is further configured to: receive real-time operating data sent by the integrated storage and charging station during the control period; generate a deviation warning message based on the real-time operating data and the final adjustment data corresponding to the integrated storage and charging station; and send the deviation warning message to the integrated storage and charging station.

[0192] The descriptions of the apparatus embodiments above are similar to those of the method embodiments above, and have similar beneficial effects. In some embodiments, the functions or modules included in the apparatus provided in this disclosure can be used to perform the methods described in the method embodiments above. For technical details not disclosed in the apparatus embodiments of this disclosure, please refer to the descriptions of the method embodiments of this disclosure for understanding.

[0193] It should be noted that, in the embodiments of this disclosure, if the control method for the integrated storage and charging station described above is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiments of this disclosure, or the part that contributes to related technologies, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, mobile hard drive, read-only memory (ROM), magnetic disk, or optical disk. Thus, the embodiments of this disclosure are not limited to any specific hardware, software, or firmware, or any combination of hardware, software, and firmware.

[0194] This disclosure provides a computer device, including a memory for storing executable instructions; and a processor for executing some or all of the steps in the above method when executing the executable instructions stored in the memory.

[0195] This disclosure provides a computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements some or all of the steps in the above-described method. The computer-readable storage medium can be transient or non-transient.

[0196] This disclosure provides a computer program including computer-readable code. When the computer-readable code is executed in a computer device, a processor in the computer device performs some or all of the steps in the above-described method.

[0197] This disclosure provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program. When the computer program is read and executed by a computer, it implements some or all of the steps in the above-described method. This computer program product can be implemented specifically through hardware, software, or a combination thereof. In some embodiments, the computer program product is specifically embodied as a computer storage medium; in other embodiments, the computer program product is specifically embodied as a software product, such as a software development kit (SDK), etc.

[0198] It should be noted that the descriptions of the various embodiments above tend to emphasize the differences between them, while their similarities or commonalities can be referenced interchangeably. The descriptions of the above embodiments of the device, storage medium, computer program, and computer program product are similar to the descriptions of the above method embodiments and have similar beneficial effects. For technical details not disclosed in the embodiments of the device, storage medium, computer program, and computer program product of this disclosure, please refer to the descriptions of the method embodiments of this disclosure for understanding.

[0199] Figure 9 is a schematic diagram of the hardware entity of a computer device according to an embodiment of this disclosure. As shown in Figure 9, the hardware entity of the computer device 90 includes: a processor 901, at least one communication bus 902, a user interface 903, at least one external communication interface 904, and a memory 905. The communication bus 902 is configured to enable communication between these components. The user interface 903 may include a display screen, and the external communication interface 904 may include standard wired and wireless interfaces.

[0200] The memory 905 is configured to store instructions and applications executable by the processor 901, and can also cache data to be processed or already processed by the processor 901 and various modules in the electronic device (e.g., image data, audio data, voice communication data, and video communication data). It can be implemented using flash memory or random access memory (RAM). It should be noted that the descriptions of the above embodiments of the storage medium, device, apparatus, and program product are similar to the descriptions of the above method embodiments, and have similar beneficial effects. For technical details not disclosed in the embodiments of the storage medium, device, apparatus, and program product of this disclosure, please refer to the descriptions of the method embodiments of this disclosure for understanding.

[0201] It should be understood that the phrase "one embodiment" or "an embodiment" throughout the specification means that a specific feature, structure, or characteristic related to the embodiment is included in at least one embodiment of this disclosure. Therefore, "in one embodiment" or "in some embodiments" appearing throughout the specification do not necessarily refer to the same embodiment. Furthermore, these specific features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. It should be understood that in the various embodiments of this disclosure, the sequence numbers of the above-described processes do not imply a sequential order of execution; the execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this disclosure. The sequence numbers of the above-described embodiments are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0202] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover 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. Unless otherwise specified, 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 that element.

[0203] In the several embodiments provided in this disclosure, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods, such as: multiple units or components may be combined, or integrated into another system, or some features may be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed may be through some interfaces, and the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0204] The units described above as separate components may or may not be physically separate. The components shown as units may or may not be physical units. They may be located in one place or distributed across multiple network units. Some or all of the units may be selected to achieve the purpose of this embodiment according to actual needs.

[0205] In addition, each functional unit in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can be a separate unit, or two or more units can be integrated into one unit; the integrated unit can be implemented in hardware or in the form of hardware plus software functional units.

[0206] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as mobile storage devices, read-only memory (ROM), magnetic disks, or optical disks.

[0207] Alternatively, if the integrated units described above are implemented as software functional modules and sold or used as independent products, they can also be stored in a computer-readable storage medium. Based on this understanding, the technical solutions of the embodiments of this disclosure, or the parts that contribute to related technologies, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the methods of the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0208] The above are merely embodiments of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A control method for an integrated energy storage and charging station, applied to a virtual power plant communicatively connected to at least one integrated energy storage and charging station, the method comprising: Send predicted adjustment data for the control period to the integrated storage and charging station; The predicted adjustment data is generated based on the load prediction model corresponding to the integrated storage and charging station. Receive the adjustment data submitted by the integrated storage and charging station; the submitted adjustment data is generated based on the predicted adjustment data; Based on the winning bid adjustment data, control commands corresponding to the integrated storage and charging station are generated; The control command carries the final adjustment data corresponding to the integrated storage and charging station. The winning bid adjustment data is obtained after submitting the received adjustment data to the power dispatching platform; The final adjustment data is obtained by splitting the winning bid adjustment data based on the adjustment data declared by the integrated storage and charging station. The system issues corresponding control commands to the integrated energy storage and charging station; the control commands are used to instruct the integrated energy storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

2. The method according to claim 1, wherein, The adjustment data includes the adjustable capability data of the integrated charging and storage station during the control period, wherein the adjustable capability data characterizes the charging power adjustment capability and / or discharging power adjustment capability of the integrated charging and storage station during the control period; the method further includes: Based on the adjustable capacity data reported by each integrated storage and charging station during the control period, overall adjustable capacity data is generated. The overall regulation capability data is used to characterize the virtual power plant's ability to adjust charging power and / or discharging power during the control period; The overall regulation capacity data shall be submitted to the power dispatching platform.

3. The method according to claim 2, wherein, The adjustable capability data includes charging power adjustment thresholds and / or discharging power adjustment thresholds; the overall adjustable capability data generated based on the adjustable capability data reported by each integrated charging and storage station during the control period includes at least one of the following: Based on the charging power adjustment threshold declared by each of the integrated energy storage and charging stations during the control period, the overall charging power adjustment threshold corresponding to the virtual power plant is generated. Based on the discharge power adjustment threshold declared by each of the integrated storage and charging stations during the control period, the overall discharge power adjustment threshold corresponding to the virtual power plant is generated. The overall adjustment capability data includes the overall charging power adjustment threshold and / or the overall discharging power adjustment threshold.

4. The method according to claim 3, wherein, The method further includes: Receive winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes target charging power adjustment value and / or target discharging power adjustment value; the target charging power adjustment value is less than or equal to the overall charging power adjustment threshold, and the target discharging power adjustment value is less than or equal to the overall discharging power adjustment threshold.

5. The method according to claim 4, wherein, The process of generating control commands corresponding to the integrated storage and charging station based on the winning bid adjustment data includes: Based on the winning bid adjustment data and the adjustable capacity data declared by each of the integrated storage and charging stations during the control period, the final adjustment data corresponding to each of the integrated storage and charging stations during the control period is determined. Based on the final adjustment data of each of the integrated storage and charging stations during the control period, control commands are generated for each of the integrated storage and charging stations.

6. The method according to claim 5, wherein, Based on the winning bid adjustment data and the adjustable capacity data declared by each of the integrated storage and charging stations during the control period, the final adjustment data corresponding to each of the integrated storage and charging stations during the control period is determined, including: Based on the adjustment type of the winning bid adjustment data, a target integrated storage and charging station with the capability of the adjustment type is determined among the at least one integrated storage and charging station; Based on the power adjustment threshold of the adjustment type declared by each of the target integrated storage and charging stations, the winning adjustment data is split to obtain the final adjustment data corresponding to each of the target integrated storage and charging stations during the control period.

7. The method according to any one of claims 1 to 6, wherein, The adjustment data includes the operating power of the integrated storage and charging station during the control period; the method further includes: Before generating the predicted adjustment data of the integrated storage and charging station during the control period based on the load prediction model corresponding to the integrated storage and charging station, the system receives the invitation plan corresponding to the control period issued by the power dispatching platform. After receiving the adjustment data submitted by the integrated energy storage and charging station, a request for the invitation plan is sent to the power dispatching platform; the request carries the operating power submitted by each integrated energy storage and charging station during the control period. Receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the declaration results corresponding to the operating power declared by each of the integrated energy storage and charging stations.

8. The method according to claim 7, wherein, The process of generating control commands corresponding to the integrated storage and charging station based on the winning bid adjustment data includes: If the declaration result indicates that the declared operating power of the integrated storage and charging station is successfully declared, the declared operating power of the integrated storage and charging station will be determined as the final adjustment data corresponding to the integrated storage and charging station. Based on the final adjustment data corresponding to the integrated storage and charging station, corresponding control commands are generated.

9. The method according to any one of claims 1 to 8, wherein, The method further includes: During the control period, receive real-time operation data sent by the integrated storage and charging station; Based on the real-time operating data and the final adjustment data corresponding to the integrated storage and charging station, a deviation warning message is generated; The deviation warning message is sent to the integrated storage and charging station.

10. A control device for an integrated energy storage and charging station, applied to a virtual power plant communicatively connected to at least one integrated energy storage and charging station, the control device comprising: The sending module is used to send the predicted adjustment data for the control period to the integrated storage and charging station. The predicted adjustment data is generated based on the load prediction model corresponding to the integrated storage and charging station. A receiving module is used to receive the adjustment data submitted by the integrated storage and charging station; the submitted adjustment data is generated based on the predicted adjustment data. The generation module is used to generate control commands corresponding to the integrated storage and charging station based on the winning bid adjustment data; The control command carries the final adjustment data corresponding to the integrated storage and charging station. The winning bid adjustment data is obtained after submitting the received adjustment data to the power dispatching platform; The final adjustment data is obtained by splitting the winning bid adjustment data based on the adjustment data declared by the integrated storage and charging station. The control module is used to issue corresponding control commands to the integrated energy storage and charging station; the control commands are used to instruct the integrated energy storage and charging station to adjust its own charging and discharging power based on the final adjustment data.

11. The apparatus according to claim 10, wherein, The adjustment data includes the adjustable capacity data of the integrated energy storage and charging station during the control period. The adjustable capacity data characterizes the charging power adjustment capability and / or discharging power adjustment capability of the integrated energy storage and charging station during the control period. The sending module is also used to generate overall adjustment capacity data based on the adjustable capacity data reported by each integrated energy storage and charging station during the control period. The overall adjustment capacity data is used to characterize the charging power adjustment capability and / or discharging power adjustment capability of the virtual power plant during the control period. The overall adjustment capacity data is reported to the power dispatching platform.

12. The apparatus according to claim 11, wherein, The adjustable capability data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; the sending module is further configured to generate an overall charging power adjustment threshold corresponding to the virtual power plant based on the charging power adjustment thresholds declared by each of the integrated energy storage and charging stations during the control period; and / or, generate an overall discharging power adjustment threshold corresponding to the virtual power plant based on the discharging power adjustment thresholds declared by each of the integrated energy storage and charging stations during the control period; wherein, the overall adjustable capability data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold.

13. The apparatus according to claim 12, wherein, The receiving module is also used to receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the target charging power adjustment value and / or the target discharging power adjustment value; the target charging power adjustment value is less than or equal to the overall charging power adjustment threshold, and the target discharging power adjustment value is less than or equal to the overall discharging power adjustment threshold.

14. The apparatus according to claim 13, wherein, The generation module is further configured to determine the final adjustment data corresponding to each integrated storage and charging station during the control period based on the winning bid adjustment data and the adjustable capacity data declared by each integrated storage and charging station during the control period; and to generate control instructions corresponding to each integrated storage and charging station based on the final adjustment data corresponding to each integrated storage and charging station during the control period.

15. The apparatus according to claim 14, wherein, The generation module is further configured to determine, based on the adjustment type of the winning bid adjustment data, a target integrated storage and charging station with the capability of the adjustment type among the at least one integrated storage and charging station; and to split the winning bid adjustment data based on the power adjustment threshold of the adjustment type declared by each target integrated storage and charging station to obtain the final adjustment data corresponding to each target integrated storage and charging station during the control period.

16. The apparatus according to any one of claims 10 to 15, wherein, The adjustment data includes the operating power of the integrated energy storage and charging station during the control period; the receiving module is further configured to receive the invitation plan corresponding to the control period issued by the power dispatching platform before generating the predicted adjustment data of the integrated energy storage and charging station during the control period based on the load prediction model corresponding to the integrated energy storage and charging station; the sending module is further configured to send a declaration request for the invitation plan to the power dispatching platform after receiving the declaration adjustment data sent by the integrated energy storage and charging station; the declaration request carries the operating power declared by each integrated energy storage and charging station during the control period; and receive the winning bid adjustment data sent by the power dispatching platform; the winning bid adjustment data includes the declaration results corresponding to the operating power declared by each integrated energy storage and charging station.

17. The apparatus according to claim 16, wherein, The generation module is further configured to, when the declaration result indicates that the declared operating power of the integrated storage and charging station is successfully declared, determine the declared operating power of the integrated storage and charging station as the final adjustment data corresponding to the integrated storage and charging station; and generate corresponding control commands based on the final adjustment data corresponding to the integrated storage and charging station.

18. A computer device, comprising: Memory, used to store executable instructions; The processor, when executing executable instructions stored in the memory, implements the steps of the control method for the integrated storage and charging station according to any one of claims 1 to 9.

19. A computer-readable storage medium storing executable instructions that, when executed by a processor, implement the steps of the control method for an integrated storage and charging station according to any one of claims 1 to 9.

20. A computer program product comprising a computer program or instructions, wherein when executed by a processor, the computer program or instructions implement the steps of the control method for the integrated storage and charging station as described in any one of claims 1 to 9.

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