Control method, device, equipment, medium and product for storage and charging integrated machine site

Abstract

The present application discloses a control method, device, equipment, medium and product for a storage-charging integrated machine site, and relates to the field of charging and discharging technology, wherein the method comprises: sending predicted regulation data of a control period to the storage-charging integrated machine site; the predicted regulation data is generated based on the load forecasting model corresponding to the storage-charging integrated machine site; receiving the declared regulation data sent by the storage-charging integrated machine site; the declared regulation data is generated based on the predicted regulation data; generating a control instruction corresponding to the storage-charging integrated machine site based on the winning regulation data; the control instruction carries the final regulation data corresponding to the storage-charging integrated machine site; the final regulation data is obtained by splitting the winning regulation data based on the regulation data declared by the storage-charging integrated machine site; issuing corresponding control instructions to the storage-charging integrated machine site to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final regulation data. The method can enhance the regulation capability and stability of the power grid.

Description

Technical Field

[0001] The present application relates to the field of charging and discharging technology, and in particular to a control method, device, equipment, medium and product for a storage-charging integrated station. Background Art

[0002] With the widespread access to renewable energy and the development of the electricity market, the power grid is facing more and more regulation challenges. Traditional grid regulation methods often rely on centralized power generation resources and limited scheduling methods, which are difficult to cope with the rapidly changing power supply and demand relationship and diverse regulation needs. In order to improve the regulation capability and stability of the power grid, the virtual power plant (VPP) has emerged as an innovative solution. However, the related technology lacks a control method for the virtual power plant to control the storage and charging integrated machine site, resulting in insufficient support for the virtual power plant to the distribution network. Summary of the invention

[0003] In view of this, the embodiments of the present application at least provide a control method, device, equipment, medium and product for a storage-charging integrated machine site.

[0004] The technical solution of the embodiment of the present application is implemented as follows:

[0005] On the one hand, an embodiment of the present application provides a control method for a storage-charging integrated machine site, which is applied to a virtual power plant that is communicatively connected to at least one storage-charging integrated machine site, and the method includes: sending predicted regulation data for a control period to the storage-charging integrated machine site; the predicted regulation data is generated based on a load forecasting model corresponding to the storage-charging integrated machine site; receiving declared regulation data sent by the storage-charging integrated machine site; the declared regulation data is generated based on the predicted regulation data; generating a control instruction corresponding to the storage-charging integrated machine site based on the winning regulation data; the control instruction carries the final regulation data corresponding to the storage-charging integrated machine site; the winning regulation data is obtained after reporting to the power dispatching platform based on the received declared regulation data; the final regulation data is obtained after splitting the winning regulation data based on the regulation data declared by the storage-charging integrated machine site; issuing corresponding control instructions to the storage-charging integrated machine site; the control instructions are used to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final regulation data.

[0006] In some embodiments, the adjustment data includes adjustable capacity data of the integrated storage and charging station during the control period, and the adjustable capacity data characterizes the charging power adjustment capability and / or discharging power adjustment capability of the integrated storage and charging station during the control period; the method also includes: generating overall adjustment capacity data based on the adjustable capacity data during the control period reported by each integrated storage and charging station; 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 reporting the overall adjustment capacity data to the power dispatching platform.

[0007] In the above embodiment, by aggregating the charging and discharging power adjustment thresholds of each storage-charging integrated machine site, the amount of calculation required by the distribution network in responding to the declaration request can be reduced, thereby improving the response efficiency.

[0008] In some embodiments, the adjustable capacity data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; based on the adjustable capacity data of each storage-charging integrated machine site during the control period, overall adjustable capacity data is generated, including at least one of the following: based on the charging power adjustment threshold during the control period declared by each storage-charging integrated machine site, an overall charging power adjustment threshold corresponding to the virtual power plant is generated; based on the discharge power adjustment threshold during the control period declared by each storage-charging integrated machine site, an overall discharge power adjustment threshold corresponding to the virtual power plant is generated; wherein the overall adjustable capacity data includes an overall charging power adjustment threshold and / or an overall discharge power adjustment threshold.

[0009] In the above embodiment, by respectively calculating the overall discharge power adjustment threshold and the overall charging power adjustment threshold, the discharge capacity adjustment space that represents the virtual power plant as a whole during the period can be obtained, thereby providing a data basis for the subsequent declaration process; at the same time, since the charging and discharging power adjustment thresholds of each storage and charging integrated machine site are summarized, the amount of calculation of the distribution network in responding to the declaration request can be reduced, thereby improving the response efficiency.

[0010] In some embodiments, the method also includes: receiving the winning bid adjustment data sent by the 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.

[0011] In the above embodiment, it is possible to reduce the situation where the regulation instructions issued by the power dispatching platform exceed the overall charging and discharging power adjustment threshold of the virtual power plant, causing the storage and charging integrated site equipment in the virtual power plant to be overloaded or over-discharged, thereby damaging the equipment or shortening its service life.

[0012] In some embodiments, control instructions corresponding to the storage-charging integrated machine site are generated based on the winning bid adjustment data, including: determining the final adjustment data corresponding to each storage-charging integrated machine site during the control period based on the winning bid adjustment data and the adjustable capacity data declared by each storage-charging integrated machine site during the control period; generating control instructions corresponding to each storage-charging integrated machine site based on the final adjustment data corresponding to each storage-charging integrated machine site during the control period.

[0013] In the above embodiment, by considering the adjustable capacity data of each site, the efficiency and rationality of allocating the winning adjustment data to each site are improved, so that each site can provide the best charging and discharging adjustment service within its capacity.

[0014] In some embodiments, based on the winning adjustment data and the adjustable capacity data declared by each storage-charging integrated machine site during the control period, the final adjustment data corresponding to each storage-charging integrated machine site during the control period is determined, including: based on the adjustment type of the winning adjustment data, determining a target storage-charging integrated machine site with the ability to adjust the type in at least one storage-charging integrated machine site; based on the power adjustment threshold of the adjustment type declared by each target storage-charging integrated machine site, splitting the winning adjustment data to obtain the final adjustment data corresponding to each target storage-charging integrated machine site during the control period.

[0015] In the above embodiment, by screening the target storage-charging integrated machine sites that have the adjustment capability corresponding to the adjustment type, and allocating the winning adjustment data according to the power adjustment threshold of the target storage-charging integrated machine sites, the efficiency and rationality of allocating the winning adjustment data to each site are further improved.

[0016] In some embodiments, the regulation data includes the operating power of the integrated storage and charging machine site during the control period; the method also includes: before generating the predicted regulation data of the integrated storage and charging machine site during the control period based on the load forecasting model corresponding to the integrated storage and charging machine site, receiving the invitation plan corresponding to the control period issued by the power dispatching platform; after receiving the declared regulation data sent by the integrated storage and charging machine site, sending a declaration request for the invitation plan to the power dispatching platform; the declaration request carries the operating power declared by each integrated storage and charging machine site during the control period; receiving the winning regulation data sent by the power dispatching platform; the winning regulation data includes the declaration results corresponding to the operating power declared by each integrated storage and charging machine site.

[0017] In the above embodiment, 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, the power dispatching platform clarifies the final regulation tasks of each storage and charging integrated machine site by sending the winning regulation data, thereby improving the rationality and feasibility of power regulation.

[0018] In some embodiments, control instructions corresponding to the storage-charging integrated machine site are generated based on the winning adjustment data, including: when the declaration result indicates that the operating power declared by the storage-charging integrated machine site is successfully declared, the operating power declared by the storage-charging integrated machine site is determined as the final adjustment data corresponding to the storage-charging integrated machine site; based on the final adjustment data corresponding to the storage-charging integrated machine site, corresponding control instructions are generated.

[0019] In the above embodiment, the power dispatching platform can flexibly manage and dispatch the operating power of the storage and charging integrated machine site to ensure the supply and demand balance and stable operation of the entire power system. For sites that have been successfully declared, their operating power is confirmed, and control instructions can be generated in time to ensure that the site can adjust power as planned. For sites that need to be adjusted, the platform can make adjustments based on their actual conditions and generate new control instructions to ensure that the site can maximize its economic benefits while meeting system requirements. For sites whose declarations are rejected, the platform will not generate control instructions, avoiding unnecessary waste of resources and misoperation.

[0020] In some embodiments, the method also includes: receiving real-time operating data sent by the integrated storage and charging machine site 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 machine site; and sending a deviation warning message to the integrated storage and charging machine site.

[0021] In the above embodiment, the virtual power plant can realize real-time monitoring and precise control of the integrated storage and charging machine site. When there is a large deviation between the operating data of the integrated storage and charging machine site and the final adjustment data, the virtual power plant can generate a deviation warning message in time to notify the integrated storage and charging machine site to make adjustments to ensure the stable operation of the power system and the balance of supply and demand.

[0022] On the other hand, an embodiment of the present application provides a control device for a storage-charging integrated machine site, which is applied to a virtual power plant that is communicatively connected to at least one storage-charging integrated machine site, and the control device includes: a sending module, which is used to send predicted regulation data for a control period to the storage-charging integrated machine site; the predicted regulation data is generated based on a load forecasting model corresponding to the storage-charging integrated machine site; a receiving module, which is used to receive the declared regulation data sent by the storage-charging integrated machine site; the declared regulation data is generated based on the predicted regulation data; a generating module, which is used to generate a control instruction corresponding to the storage-charging integrated machine site based on the winning regulation data; the control instruction carries the final regulation data corresponding to the storage-charging integrated machine site; the winning regulation data is obtained after reporting to the power dispatching platform based on the received declared regulation data; a control module, which is used to issue corresponding control instructions to the storage-charging integrated machine site; the control instructions are used to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final regulation data.

[0023] On the other hand, an embodiment of the present application provides a computer device, including a memory for storing executable instructions; and a processor for implementing some or all of the steps in the above method when executing the executable instructions stored in the memory.

[0024] On the other hand, an embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon, which implements part or all of the steps in the above method when executed by a processor.

[0025] On the other hand, an embodiment of the present application provides a computer program product, including a computer program or instructions, which implements some or all of the steps in the above method when the computer program or instructions are executed by a processor.

[0026] In the embodiment of the present application, through the load forecasting model, the virtual power plant can accurately predict the regulation demand (such as charging and discharging power, voltage, current, etc.) of the storage and charging integrated machine site within a specific time period, providing strong data support for subsequent power grid dispatching; at the same time, the declared regulation data based on the forecast data and the actual situation of the site, through the review and confirmation of the power dispatching platform, the winning regulation data can ensure the stable operation of the power grid, thereby enabling the virtual power plant to more reasonably allocate and manage power resources, and ensure the stability and economy of power supply; and, the above-mentioned virtual power plant and the storage and charging integrated machine site adopt a standardized communication protocol to realize the interaction process between the virtual power plant and the storage and charging integrated machine site, thereby realizing the support function for the distribution network and enhancing the regulation capability and stability of the power grid.

[0027] 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 the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments consistent with the present application and are used together with the specification to illustrate the technical solution of the present application.

[0029] Figure 1 A system schematic diagram of a distributed power resource dispatching system provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of the implementation process of a control method for a storage-charging integrated machine site provided in an embodiment of the present application Figure 1 ;

[0031] Figure 3 A schematic diagram of the implementation process of a control method for a storage-charging integrated machine site provided in an embodiment of the present application Figure 2 ;

[0032] Figure 4A schematic diagram of the implementation process of a control method for a storage-charging integrated machine site provided in an embodiment of the present application Figure 3 ;

[0033] Figure 5 A schematic diagram of the implementation process of a control method for a storage-charging integrated machine site provided in an embodiment of the present application Figure 4 ;

[0034] Figure 6 A schematic diagram of a scheduling method in a day-ahead adjustment scenario provided in an embodiment of the present application;

[0035] Figure 7 A schematic diagram of a scheduling method in a same-day adjustment scenario provided in an embodiment of the present application;

[0036] Figure 8 A schematic diagram of the structure of a control device for a storage-charging integrated machine site provided in an embodiment of the present application;

[0037] Fig. 9 A hardware entity diagram of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0038] In order to make the purpose, technical solutions and advantages of the present application clearer, the technical solutions of the present application are further elaborated in detail below in conjunction with the drawings and embodiments. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present application.

[0039] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but 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" involved are merely used to distinguish similar objects and do not represent a specific order for the objects. It is understood that "first / second / third" may be interchanged in a specific order or sequence where permitted, so that the embodiments of the present application described herein can be implemented in an order other than that illustrated or described herein.

[0040] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing this application and are not intended to limit this application.

[0041] The embodiment of the present application provides a control method for a storage-charging integrated machine site, which is applied to a virtual power plant, which is communicatively connected to at least one storage-charging integrated machine site. The above-mentioned virtual power plant and at least one storage-charging integrated machine site are both located in a dispatching system for distributed power resources, and the dispatching system for distributed power resources will be described below. The dispatching system for distributed power resources may include: a power trading system, a power dispatching system, a virtual power plant, and a plurality of distributed power devices.

[0042] refer to Figure 1 As shown in the content, the dispatching system 10 for distributed power resources may include: a power trading system 1011 , a power dispatching system 1012 , a virtual power plant 102 and distributed power equipment 103 .

[0043] Among them, the distributed power equipment 103 may include: a wind turbine 1031 , a photovoltaic 1032 , an integrated storage and charging machine 1033 , at least one integrated storage and charging machine site 1034 , an electric boiler 1035 and an air conditioner 1036 .

[0044] The virtual power plant 102 is connected to the power dispatching system 1012 and the power trading system 1011, and is connected to multiple distributed power devices 103; among them: the power trading system 1011 is used to publish announcement information (such as plan invitations, etc.); the power dispatching system 1012 is used to perform power dispatching, etc.

[0045] In some embodiments, the distributed power equipment 103 may include power generation equipment, power consumption equipment, and power generation and consumption equipment (i.e., storage and charging integrated machine site). Wind turbines 1031 and photovoltaics 1032 are power generation equipment, storage and charging integrated machine 1033 and storage and charging integrated machine site 1034 are power generation and consumption equipment, and electric boilers 1035 and air conditioners 1036 are power consumption equipment.

[0046] Figure 2 This is a schematic diagram of the implementation process of a control method for a storage and charging integrated machine site provided in an embodiment of the present application. Figure 1 The method is applied to a virtual power plant, which is in communication connection with at least one storage and charging integrated machine site. Figure 2 As shown, the method includes the following steps S201 to S204:

[0047] Step S201: Send the predicted regulation data of the control period to the integrated storage-charging machine site; the predicted regulation data is generated based on the load prediction model corresponding to the integrated storage-charging machine site.

[0048] Among them, the load prediction model corresponding to the integrated storage and charging machine site can be generated based on the historical operation data corresponding to the integrated storage and charging machine site.

[0049] In some embodiments, the storage-in-one site includes at least one storage-in-one, and the above-mentioned historical operation data includes but is not limited to the charge and discharge power, charge and discharge voltage, and charge and discharge current of each storage-charging-in-one machine in the historical time period. In an embodiment of the present application, the virtual power plant can generate a corresponding load forecasting model for the storage-charging-in-one site based on the charge and discharge power, charge and discharge voltage, and charge and discharge current of each storage-charging-in-one machine in the historical time period. It can be understood that the load forecasting model corresponding to the storage-charging-in-one site can be used to directly predict the regulation data of the storage-charging-in-one site; the load forecasting model corresponding to the storage-charging-in-one site can also include a sub-load forecasting model corresponding to each storage-charging-in-one, wherein each sub-load forecasting model is used to predict the regulation data of the corresponding storage-charging-in-one, and the regulation data of the storage-charging-in-one site can be obtained after aggregation. This application does not limit this.

[0050] In some embodiments, the above adjustment data may include at least one of the following: charging and discharging power, charging and discharging voltage, charging and discharging current, charging power adjustment capability, and discharging power adjustment capability. The charging power adjustment capability represents the amount of charging power that can be adjusted by the integrated storage and charging station during the input period; the discharging power adjustment capability represents the amount of discharging power that can be adjusted by the integrated storage and charging station during the input period.

[0051] In the above embodiment, the control period is a period during which support is required for the power grid dispatching platform. Generally speaking, the control period is a time period in the future, and the length of the time period can be 1 day or several hours. Of course, it can also be a more fine-grained time period, and this application does not limit this.

[0052] In an embodiment of the present application, the control period can be input into the load prediction model corresponding to the integrated storage and charging station to obtain the output predicted adjustment data of the integrated storage and charging station during the control period.

[0053] In some embodiments, the training scheme of the load forecasting model can adopt the training scheme in the related technology, mainly using historical operation 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 storage and charging integrated machine site in a specific period in the future. The above training scheme may include: (1) collecting historical charging and discharging data of the storage and charging integrated machine site, including power, voltage, current, etc. (2) extracting features from the historical data, such as timestamp, time period (peak, valley, flat), historical data for the same period, weather conditions, temperature, humidity, etc. (3) cleaning the historical data with extracted features 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 a 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 understandable that the above load forecasting model can regularly use the latest data to update the model parameters to improve the prediction accuracy.

[0054] In some embodiments, when the virtual power plant sends predicted regulation data to the integrated storage and charging machine site, it will also send a reply deadline. Before the reply deadline, if the declared regulation data sent by the integrated storage and charging machine site is not received, it indicates that the integrated storage and charging machine site has given up the declaration.

[0055] It is understandable that in order to support more functional control schemes, the virtual power plant can also send at least one of the following contents at the same time: system time, load aggregator unique identifier, event type, invitation plan ID, invitation time, response execution start time, response execution end time, transaction type (including precise response peak shaving; precise response valley filling), market demand curve (including the total demand of the entire network during the response execution period, where negative values ​​represent peak shaving and positive numbers represent valley filling), the benchmark load curve of the storage and charging integrated machine site and the adjusted load curve of the storage and charging integrated machine site.

[0056] Step S202: receiving the declared adjustment data sent by the storage-charging integrated machine site; the declared adjustment data is generated based on the predicted adjustment data.

[0057] In some embodiments, the virtual power plant distributes the predicted adjustment data corresponding to each integrated storage and charging machine site to the corresponding integrated storage and charging machine site. The operation and maintenance personnel of the integrated storage and charging machine site adjust the above-mentioned predicted adjustment data based on experience judgment, operation needs, etc. to obtain the reported adjustment data; then, the integrated storage and charging machine site sends the reported adjustment data to the virtual power plant; accordingly, the virtual power plant can receive the reported adjustment data sent by each integrated storage and charging machine site.

[0058] In some embodiments, after receiving the declared adjustment data sent by the storage-charging integrated machine site, the method further includes: generating a data sample for the storage-charging integrated machine based on the declared adjustment data and the predicted adjustment data, adjusting the load forecasting model corresponding to the storage-charging integrated machine based on the data sample, and in the next process of predicting the adjustment data of the storage-charging integrated machine site, the adjusted load forecasting model can be used to predict the adjustment data. Among them, the data sample can also include other data in this interaction process, such as the corresponding system time, load aggregator unique identifier, event type, invitation plan ID, invitation time, response execution start time, response execution end time, transaction type, market demand curve, the benchmark load curve of the storage-charging integrated machine site and the adjustment load curve of the storage-charging integrated machine site.

[0059] In other embodiments, after receiving the declared adjustment data sent by the storage-charging integrated machine site, the method also includes: saving the declared adjustment data and the predicted adjustment data, and after reaching the control period, obtaining real response data based on the real-time operation data of the storage-charging integrated machine site; and then generating data samples for the storage-charging integrated machine based on the declared adjustment data, the predicted adjustment data and the real response data, and adjusting the load prediction model corresponding to the storage-charging integrated machine based on the data samples; in the process of predicting the adjustment data of the storage-charging integrated machine site next time, the adjusted load prediction model can be used to predict the adjustment data.

[0060] Step S203, generate control instructions corresponding to the storage-charging integrated machine site based on the winning bid adjustment data; the control instructions carry the final adjustment data corresponding to the storage-charging integrated machine site; the winning bid adjustment data is obtained after reporting to the power dispatching platform based on the received declared adjustment data; the final adjustment data is obtained after splitting the winning bid adjustment data based on the adjustment data reported by the storage-charging integrated machine site.

[0061] In some embodiments, after obtaining the declared adjustment data sent by the storage-charging integrated machine site, the virtual power plant will report to the power dispatching platform based on the received declared adjustment data, and obtain the winning adjustment data fed back by the power dispatching platform. The winning adjustment data is generated by the power dispatching platform based on the declared adjustment data sent by the storage-charging integrated machine site.

[0062] In some embodiments, the virtual power plant can directly package the declared adjustment data sent by the storage-charging machine site and send it to the power dispatching platform, or it can summarize and analyze the declared adjustment data sent by the storage-charging machine site, obtain the overall declared data corresponding to the storage-charging machine site, and then send the overall declared data to the power dispatching platform. Accordingly, the winning adjustment data can include the final adjustment data corresponding to each storage-charging machine, and then directly generate control instructions corresponding to the final adjustment data; the winning adjustment data can be the adjustment data corresponding to the virtual power plant as a whole. After receiving the winning adjustment data, the virtual power plant needs to divide the winning adjustment data into the final adjustment data corresponding to each storage-charging machine site, and then generate control instructions carrying the corresponding final adjustment data for each storage-charging machine site.

[0063] In some embodiments, after receiving the winning adjustment data, the virtual power plant can split the winning adjustment data based on the adjustment data declared by each integrated storage and charging machine site, and then obtain the final adjustment data corresponding to each integrated storage and charging machine site.

[0064] Step S204: Send corresponding control instructions to the storage-charging integrated machine site.

[0065] Among them, the control instruction is used to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final adjustment data.

[0066] In an embodiment of the present application, the virtual power plant sends corresponding control instructions to each storage and charging machine site. Accordingly, after receiving the control instruction, the storage and charging machine 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 distribution network and enhancing the adjustment capability and stability of the power grid.

[0067] For example, it is assumed that the virtual power plant manages three integrated storage and charging sites: Site A, Site B, and Site C. Since the power grid dispatching platform predicts that there will be a shortage of power supply during peak hours (for example, from 4 to 6 pm tomorrow), the virtual power plant is requested to reduce the charging power and increase the discharging power to reduce the load on the power grid. At this time, the control instructions generated for each site can be: the control instruction of Site A, during the peak period (16:00-18:00), the charging power is set to 100 kW and the discharging power is set to 200 kW; the control instruction of Site B: the charging power is maintained at 50 kW and the discharging power is set to 150 kW; the control instruction of Site C: the charging operation is completely suspended and the discharging power is set to 250 kW. Based on the preset communication protocol, the virtual power plant sends the above control instructions to each integrated storage and charging site. Afterwards, after receiving the instruction, site A adjusted its storage and charging machine to operate at a power of 100 kW and ensured that the discharge equipment could respond to grid demand at a power of 200 kW; site B set its storage and charging machine to 50 kW and prepared to discharge at a power of 150 kW when needed; after receiving the instruction, site C suspended all charging operations and prepared to discharge at a power of 250 kW.

[0068] In the embodiment of the present application, through the load forecasting model, the virtual power plant can accurately predict the regulation demand (such as charging and discharging power, voltage, current, etc.) of the storage and charging integrated machine site within a specific time period, providing strong data support for subsequent power grid dispatching; at the same time, the declared regulation data based on the forecast data and the actual situation of the site, through the review and confirmation of the power dispatching platform, the winning regulation data can ensure the stable operation of the power grid, thereby enabling the virtual power plant to more reasonably allocate and manage power resources, and ensure the stability and economy of power supply; and, the above-mentioned virtual power plant and the storage and charging integrated machine site adopt a standardized communication protocol to realize the interaction process between the virtual power plant and the storage and charging integrated machine site, thereby realizing the support function for the distribution network and enhancing the regulation capability and stability of the power grid.

[0069] Figure 3 This is a schematic diagram of the implementation process of a control method for a storage and charging integrated machine site provided in an embodiment of the present application. Figure 2 The method may be executed by a processor of a control device disposed in a virtual power plant. Figure 2 The method further includes steps S301 and S302, combining Figure 3 The steps shown are explained.

[0070] Step S301: Generate overall adjustment capacity data based on the adjustable capacity data reported by each storage-charging integrated machine site during the control period.

[0071] Among them, the overall regulation capability 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.

[0072] In the embodiment of the present application, the above step S301 is actually a process in which the virtual power plant generates an overall adjustment capability data representing the entire virtual power plant in a specific control period based on the adjustable capability data (including charging power adjustment threshold and discharging power adjustment threshold) reported by each storage-charging integrated machine site managed by it in the control period. The overall adjustment capability data can represent the flexibility of the virtual power plant in adjusting its own charging and discharging power in the control period.

[0073] In some embodiments, the overall regulation capability data is used to characterize the charging power adjustment capability of the virtual power plant during the control period, and can also characterize the discharge power adjustment capability of the virtual power plant during the control period. Of course, it can also characterize the charging power adjustment capability and discharge power adjustment capability of the virtual power plant during the control period. It can be understood that this is related to the working mode of each storage and charging integrated machine in the virtual power plant.

[0074] In an embodiment of the present application, the virtual power plant collects the adjustable capacity data of each storage and charging integrated machine site within a specific control period, including the charging power adjustment threshold and the discharging power adjustment threshold, and then summarizes and calculates them to obtain the overall charging power adjustment threshold and the overall discharging power adjustment threshold of the entire virtual power plant within the period.

[0075] For example, when the working mode of each storage-charging machine in the virtual power plant is charging mode, the virtual power plant manages three storage-charging machine sites A, B and C. The adjustable capacity data within a certain control period are as follows: Site A: charging power adjustment threshold +100kW to -50kW (indicating 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 within this control period can be obtained by adding the adjustment thresholds of each site, that is, +240kW (100kW+80kW+60kW) to -100kW (50kW+30kW+20kW).

[0076] Based on the above step S301, the virtual power plant can accurately and quickly generate its overall regulation capability data within a specific control period, providing important reference information for the power dispatching platform. This helps the power dispatching platform to better understand the regulation capability and flexibility of the virtual power plant, so as to formulate a more reasonable dispatching strategy and improve the overall operation efficiency and stability of the power grid. At the same time, this is also conducive to promoting the collaborative cooperation between the virtual power plant and the power dispatching platform, and jointly promoting the development of smart grids.

[0077] In some embodiments, the adjustable capacity data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; the overall adjustable capacity data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold. The above-mentioned generation of the overall adjustable capacity data based on the adjustable capacity data of each storage-charging integrated machine site during the control period can be achieved through at least one of step S3011 and step S3012.

[0078] Step S3011: Generate an overall charging power adjustment threshold corresponding to the virtual power plant based on the charging power adjustment threshold in the control period reported by each storage-charging integrated machine site.

[0079] In some embodiments, the charging power adjustment threshold is the range of charging power that can be increased or decreased by the integrated storage and charging station within a specific control period. The charging power adjustment threshold represents the charging capacity adjustment space of the station within the period.

[0080] Step S3012: Generate an overall discharge power adjustment threshold corresponding to the virtual power plant based on the discharge power adjustment threshold reported by each storage-charging integrated machine site during the control period.

[0081] In some embodiments, the discharge power adjustment threshold is the range of discharge power that can be increased or decreased by the integrated storage and charging station within a specific control period. The discharge power adjustment threshold represents the discharge capacity adjustment space of the station within the period.

[0082] In the above embodiment, the virtual power plant collects the charging or discharging power adjustment thresholds declared by each storage and charging integrated machine site during a specific control period, and then calculates the overall charging or discharging power adjustment threshold of the entire virtual power plant during the period by accumulation or weighting.

[0083] In an embodiment of the present application, by respectively calculating the overall discharge power adjustment threshold and the overall charging power adjustment threshold, the discharge capacity adjustment space that characterizes the virtual power plant as a whole during the period can be obtained, thereby providing a data basis for the subsequent declaration process; at the same time, since the charging and discharging power adjustment thresholds of each storage and charging integrated machine site are aggregated, the amount of calculation of the distribution network in responding to the declaration request can be reduced, thereby improving the response efficiency.

[0084] Step S302: reporting the overall regulation capability data to the power dispatching platform.

[0085] Among them, after the virtual power plant generates the overall regulation capacity data based on the adjustable capacity data reported by each storage and charging integrated machine site in a specific control period, the virtual power plant reports 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 will verify and verify the data. If there is a problem with the data or it does not meet the requirements, the power dispatching platform will feedback to the virtual power plant and ask it to resend it. After the power dispatching platform confirms the accuracy and validity of the overall regulation capacity data, the power dispatching platform will formulate a more reasonable and optimized power grid dispatching plan based on the regulation capacity of the virtual power plant and the actual needs of the power grid, and issue the corresponding winning regulation data to the virtual power plant.

[0086] In some embodiments, the method further includes step S303.

[0087] Step S303: receiving the winning bid adjustment data sent by the power dispatching platform.

[0088] Among them, 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.

[0089] In the embodiment of the present application, since the virtual power plant is a participant in the electricity market, each of the multiple storage-charging integrated machine sites it includes has its own specific energy storage capacity and operating restrictions. When the power dispatching platform issues adjustment instructions, it must ensure that these instructions are within the operable range of the virtual power plant, that is, the winning adjustment data cannot exceed the overall charge and discharge power adjustment threshold of the virtual power plant. In this way, the virtual power plant can safely and effectively adjust the charge and discharge power of each storage-charging integrated machine site according to the received winning adjustment data.

[0090] Based on this, through the above step S303, it is possible to reduce the situation where the adjustment instructions issued by the power dispatching platform exceed the overall charging and discharging power adjustment threshold of the virtual power plant, causing the storage and charging integrated site equipment in the virtual power plant to be overloaded or over-discharged, thereby damaging the equipment or shortening its service life.

[0091] In some embodiments, the above step S203 can be implemented in the following way: based on the winning adjustment data and the adjustable capacity data declared by each storage-charging integrated machine site during the control period, determine the final adjustment data corresponding to each storage-charging integrated machine site during the control period; based on the final adjustment data corresponding to each storage-charging integrated machine site during the control period, generate control instructions corresponding to each storage-charging integrated machine site.

[0092] In the embodiment of the present application, the size of the adjustable capacity data reported by each of the above-mentioned integrated storage and charging machine sites during the control period reflects the adjustment capacity of each integrated storage and charging machine site during the control period, that is, the larger the reported adjustable capacity data, the stronger the energy-saving capacity, and the smaller the reported adjustable capacity data, the weaker the energy-saving capacity. Therefore, the winning adjustment data can be split based on the size of the adjustable capacity data reported by each integrated storage and charging machine site during the control period, and then the final adjustment data corresponding to each integrated storage and charging machine site during the control period can be obtained. It can be understood that the sum of the final adjustment data of each integrated storage and charging machine site is the winning adjustment data.

[0093] Among them, the final adjustment data is the same as the adjustable capacity data reported by the above-mentioned storage-charging integrated machine site during the control period, and is also the adjustment value of the charging power and / or discharging power of the storage-charging integrated machine site for itself during the control period.

[0094] Among them, the virtual power plant can be split proportionally based on the size of the adjustable capacity data of each storage and charging machine site. For example, when the virtual power plant includes multiple storage and charging machine sites (sites A, B, and C), and the winning adjustment data is to increase the charging power of the virtual power plant by 500kW, if the adjustable capacity data of sites A, B, and C during the control period are 200kW, 300kW, and 150kW respectively (in this example, they are all charging power adjustment thresholds of the storage and charging machine), it can be seen that the adjustable capacity of site B is the largest (300kW), the adjustable capacity of site A is moderate (200kW), and the adjustable capacity of site C is the smallest (150kW). Therefore, the final adjustment data of sites A, B, and C during the control period are: increase the charging power by 154kW, increase the charging power by 231kW, and increase the charging power by 115kW.

[0095] Among them, the virtual power plant can divide the winning adjustment data based on the size of the adjustable capacity data of each storage and charging integrated machine site, giving priority to sites with large adjustable capacity data. For example, it is known that the adjustable capacity data of sites A, B, and C during the control period are 200kW, 300kW, and 150kW, respectively, and the winning adjustment data is to increase the charging power by 500kW. Site B (with the strongest capacity) is given priority: the adjustable capacity of site B is 300kW, so first let site B take on as many adjustment tasks as possible until it reaches the upper limit, so site B takes on a 300kW charging power increase. At this time, the remaining adjustment tasks are 500kW - 300kW = 200kW, and then site A (moderate capacity) is met: the adjustable capacity of site A is 200kW, which is enough to take on the remaining 200kW adjustment tasks, so site A takes on the remaining 200kW charging power increase. Site C does not need to participate. The final adjustment data of stations A, B, and C during the control period is to increase the charging power by 200kW, increase the charging power by 300kW, and not participate in the adjustment (or keep the original state). In this way, the stations with strong capabilities are given priority and the winning adjustment tasks are fully allocated.

[0096] It is understandable that, in order to clearly explain the technical solution of the present application, the adjustment data in the control period in the above embodiment is used as an example to illustrate the present application at one time point. In a specific implementation scenario, the above adjustment data can be the adjustment data of each time point in the multiple time points in the control period. Exemplarily, the adjustment data can be a data curve with an interval of 15 minutes, and the data curve shows the adjustment data of the site in each 15-minute time period.

[0097] In the embodiment of the present application, by considering the adjustable capacity data of each site, the efficiency and rationality of allocating the winning adjustment data to each site are improved, so that each site can provide the best charging and discharging adjustment service within its capacity.

[0098] In some embodiments, the above-mentioned method based on the winning adjustment data and the adjustable capacity data declared by each storage-charging integrated machine site during the control period can be implemented in the following way to determine the final adjustment data corresponding to each storage-charging integrated machine site during the control period: based on the adjustment type of the winning adjustment data, determine a target storage-charging integrated machine site with the ability to adjust the type in at least one storage-charging integrated machine site; based on the power adjustment threshold of the adjustment type declared by each target storage-charging integrated machine site, split the winning adjustment data to obtain the final adjustment data corresponding to each target storage-charging integrated machine site during the control period.

[0099] Among them, the above-mentioned winning adjustment data may include the adjustment type (charging or discharging) and the adjustment amount (the numerical value of power increase or decrease). The storage-charging integrated machine site in the embodiment of the present application is an equipment site with electric energy storage and charging and discharging functions, which can absorb and release electric energy in the power system to respond to the adjustment needs of the power grid. However, since the above-mentioned declared adjustable capacity data may be based on operating 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 storage-charging integrated machine site with the ability to adjust the type in at least one storage-charging integrated machine site based on the adjustment type of the winning adjustment data.

[0100] In the embodiment of the present application, based on the adjustment type of the virtual power plant's winning bid adjustment data, the storage-charging integrated machine sites with the corresponding adjustment type capabilities can be first screened out as target storage-charging integrated machine sites. Then, according to the power adjustment threshold declared by each target storage-charging integrated machine site, the winning bid adjustment data is reasonably split and allocated to obtain the final adjustment data corresponding to each target storage-charging integrated machine site during the control period.

[0101] For example, the winning bid adjustment data requires an increase of 500kW of discharge power. Among the four integrated storage and charging machine sites A, B, C, and D, sites A and B have discharge capabilities, while sites C and D do not have discharge capabilities. Obtain the declared discharge power adjustment threshold of each site: the discharge power adjustment threshold of site A is 200kW, the discharge power adjustment threshold of site B is 300kW, and sites C and D do not have discharge capabilities in this example, so they do not participate in the adjustment task. Among the four sites A, B, C, and D, only A and B have discharge capabilities, so A and B become the target integrated storage and charging machine sites. In the process of splitting the winning bid adjustment data proportionally, the final adjustment data of sites A, B, C, and D during the control period is that site A increases the discharge power by 200kW, site B increases the discharge power by 300kW, and sites C and D do not participate in the adjustment (because they do not have the discharge capability).

[0102] In an embodiment of the present application, by screening the target storage-charging integrated machine sites that have the adjustment capability corresponding to the adjustment type, and allocating the winning adjustment data according to the power adjustment threshold of the target storage-charging integrated machine sites, the efficiency and rationality of allocating the winning adjustment data to each site are further improved.

[0103] Figure 4 This is a schematic diagram of the implementation process of a control method for a storage and charging integrated machine site provided in an embodiment of the present application. Figure 3 .based on Figure 2 The adjustment data includes the operating power of the storage-charging integrated machine site during the control period. The method also includes steps S401 to S403. Figure 4 The steps shown are explained.

[0104] Step S401: before generating forecast adjustment data of the integrated storage and charging machine site in the control period based on the load forecast model corresponding to the integrated storage and charging machine site, receiving an invitation plan corresponding to the control period issued by the power dispatching platform.

[0105] The power dispatching platform will formulate an invitation plan based on the real-time supply and demand of the power system and issue it to each power supplier or power user. As a type of power supplier, the virtual power plant will receive the invitation plan issued by the power dispatching platform. Based on the invitation plan, the virtual power plant will use the load forecasting model of each storage and charging station included in it to predict the predicted regulation data of the storage and charging station during the control period.

[0106] In an embodiment of the present application, the power dispatching platform issues an invitation plan, which clearly specifies the control period in which the storage-charging machine site needs to participate in the regulation. After receiving the invitation plan, the virtual power plant will use the load forecasting model of each storage-charging machine site to predict the operating power within the specified control period, and generate the predicted regulation data of each storage-charging machine site accordingly. The predicted regulation data can be the operating power of the storage-charging machine site during the control period. The operating power may include charging power and / or discharging power.

[0107] Step S402: after receiving the declared adjustment data sent by the integrated storage and charging station, a declaration request for the invitation plan is sent to the power dispatching platform; the declaration request carries the operating power declared by each integrated storage and charging station during the control period.

[0108] Among them, the declaration request is used to respond to the invitation plan previously issued by the power dispatching platform, and includes the planned operating power of each storage and charging integrated machine site during the (declared) control period.

[0109] For example, the power dispatching platform issues an invitation plan, requiring the virtual power plant to adjust power during the period of 10:00-12:00. After receiving the invitation plan, the virtual power plant sends the predicted adjustment data to each integrated storage and charging machine site, and collects the declared adjustment data of each integrated storage and charging machine site. In the case of integrated storage and charging machine site A and integrated storage and charging machine site B, integrated storage and charging machine site A declares that it can provide 500kW of discharge power during the period of 10:00-12:00; integrated storage and charging machine site B declares that it can provide 300kW of charging power during the period of 10:00-12:00.

[0110] Step S403, receiving 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 storage-charging integrated machine site.

[0111] Among them, after receiving the declaration requests of all virtual power plants, the power dispatching platform will determine and issue the winning bid adjustment data based on the declaration requests of all virtual power plants, taking into account system requirements, resource conditions and other factors. The winning bid adjustment data can be a confirmation, rejection or adjustment of the operating power declared by the storage and charging integrated machine site.

[0112] Based on the above example, after receiving the declaration request, the power dispatching platform decides to accept the discharge power declaration of site A after analysis and calculation, but adjusts the charging power of site B to 200kW. The power dispatching platform sends the above content as the winning bid adjustment data to the virtual power plant.

[0113] Based on the above embodiment, 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, the power dispatching platform clarifies the final regulation tasks of each storage and charging integrated machine site by sending the winning regulation data, thereby improving the rationality and feasibility of power regulation.

[0114] In some embodiments, the above-mentioned step S203 can be implemented in the following manner: when the declaration result indicates that the operating power declared by the integrated storage and charging machine site is successfully declared, the operating power declared by the integrated storage and charging machine site is determined as the final adjustment data corresponding to the integrated storage and charging machine site; based on the final adjustment data corresponding to the integrated storage and charging machine site, a corresponding control instruction is generated.

[0115] In some embodiments, the above step S203 can be implemented in the following way: when the declaration result indicates that the operating power declared by the integrated storage and charging machine site needs to be adjusted, the adjusted operating power is determined as the final adjustment data corresponding to the integrated storage and charging machine site; based on the final adjustment data corresponding to the integrated storage and charging machine site, a corresponding control instruction is generated.

[0116] In some embodiments, the method further includes: when the declaration result indicates that the operating power declared by the integrated storage-charging machine site is rejected, no control instruction corresponding to the integrated storage-charging machine site is generated.

[0117] For example, the virtual power plant has three storage and charging integrated machine sites A, B, and C that participated in the declaration of the power dispatching platform. Site A declared an operating power of 500kW, and its declaration was successful. The power dispatching platform accepted the declaration and determined that the final adjustment data was 500kW. Subsequently, the virtual power plant generated a control instruction based on this final adjustment data, requiring site A to provide a discharge power of 500kW within a specified period of time. Site B declared an operating power of 300kW, but the declaration result needed to be adjusted. The power dispatching platform suggested adjusting its operating power to 250kW and determined the final adjustment data to be 250kW. Then, the virtual power plant generated a control instruction based on this final adjustment data, requiring site B to provide a discharge power of 250kW within a specified period of time. Site C declared an operating power of 400kW, but its declaration was rejected. The power dispatching platform did not accept its declaration, so there was no final adjustment data. Because the declaration was rejected, the virtual power plant did not generate a control instruction for site C.

[0118] Based on the above embodiments, the power dispatching platform can flexibly manage and dispatch the operating power of the storage and charging integrated machine sites to ensure the supply and demand balance and stable operation of the entire power system. For sites that have been successfully declared, their operating power is confirmed, and control instructions can be generated in a timely manner to ensure that the sites can adjust power as planned. For sites that need to be adjusted, the platform can make adjustments based on their actual conditions and generate new control instructions to ensure that the sites can maximize their economic benefits while meeting system requirements. For sites whose declarations are rejected, the platform will not generate control instructions, avoiding unnecessary waste of resources and misoperation.

[0119] Figure 5 This is a schematic diagram of the implementation process of a control method for a storage and charging integrated machine site provided in an embodiment of the present application. Figure 4 .based on Figure 2 The method may further include step S501 and step S503, combining Figure 5 The steps shown are explained.

[0120] Step S501: receiving real-time operation data sent by the storage-charging integrated machine site during a control period.

[0121] The real-time operation data characterizes the actual operation status and performance of the storage-charging integrated machine site during the control period. In some embodiments, the real-time operation data includes but is not limited to operation parameters such as charging and discharging power, battery capacity, voltage, and current.

[0122] Step S502: Generate a deviation warning message based on the real-time operation data and the final adjustment data corresponding to the storage-charging integrated machine site.

[0123] In some embodiments, when the above-mentioned final adjustment data is the charging power adjustment value and / or the discharging power adjustment value of the storage-charging integrated machine site for itself during the control period, the virtual power plant can obtain the charging power and / or the discharging power of the storage-charging integrated machine site before adjustment, as well as the charging power and / or the discharging power after adjustment, and calculate the actual charging power adjustment value and / or the actual discharging power adjustment value of the storage-charging integrated machine site. On the 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, and when the deviation exceeds the threshold of the charging adjustment, a deviation warning message of the charging adjustment 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, and when the deviation exceeds the threshold of the discharging adjustment, a deviation warning message of the discharging adjustment is generated. It can be understood that the above-mentioned 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.

[0124] Step S503: Send a deviation warning message to the storage-charging integrated machine site.

[0125] In the case of a large deviation between the real-time operation data and the final adjustment data, the virtual power plant automatically generates the above-mentioned deviation warning message and sends the deviation warning message to the storage and charging integrated machine site. The deviation warning message can promptly remind the operation and maintenance personnel of the storage and charging integrated machine site to pay attention to the operation status of the site and take corresponding measures to make adjustments.

[0126] For example, the final adjustment data of the storage and charging integrated machine site A is to provide a discharge power of 300kW during the control period. In real-time operation, the real-time operation data received by the virtual power plant shows that the discharge power of site A is 280kW. Since the deviation is small (does not exceed the threshold), the system will not generate a deviation warning message. However, if the real-time operation data shows that the discharge power of site A is 250kW, due to the large deviation (exceeding the threshold), the system will immediately generate a deviation warning message and send the deviation warning message to site A. After receiving the message, the administrator or operator of site A can promptly understand the operating status of the site and take appropriate measures to make adjustments to ensure that the site can meet the requirements of the final adjustment data.

[0127] In the embodiment of the present application, the virtual power plant can realize real-time monitoring and precise control of the integrated storage and charging machine site. When there is a large deviation between the operating data of the integrated storage and charging machine site and the final adjustment data, the virtual power plant can generate a deviation warning message in time to notify the integrated storage and charging machine site to make adjustments to ensure the stable operation of the power system and the balance of supply and demand.

[0128] The following describes the application of the control method of the integrated storage and charging station provided in the embodiment of the present application in actual scenarios, mainly involving the control process of the integrated storage and charging station by the virtual power plant.

[0129] The embodiment of the present application provides a technical solution for interconnecting a virtual power plant with an integrated storage and charging machine site, and on the basis of the interconnection between the virtual power plant and the integrated storage and charging machine site, the virtual power plant realizes the scheduling of the integrated storage and charging machine site to provide support functions for the distribution network and enhance the regulation capability and stability of the power grid.

[0130] In the embodiment of the present application, an information transmission protocol is constructed between the virtual power plant and the storage-charging integrated machine site to achieve the transmission of the following types of data.

[0131] (1) Real-time operation data of the integrated storage and charging station.

[0132] The integrated storage-charging machine site includes at least one integrated storage-charging machine. The integrated storage-charging machine site can send a data reporting message to the virtual power plant through the data reporting interface provided by the information transmission protocol. The data reporting message is used to upload the real-time operation data of the integrated storage-charging machine.

[0133] The data reporting message carries the system time and the real-time operation data of the storage-charging machine, including the identification of the storage-charging machine, data time, power of the storage-charging machine, voltage of the storage-charging machine, and current of the storage-charging machine.

[0134] (2) Historical operation data of the storage and charging integrated machine site.

[0135] The virtual power plant sends a query request to the integrated storage and charging machine site through the data query interface provided by the information transmission protocol to query the historical operation data of the integrated storage and charging machine site. The query request includes the system time, the identification of the integrated storage and charging machine site, the identification of the integrated storage and charging machine that needs to be supplemented (in the form of a collection), the start time of the historical data and the end time of the historical data; the integrated storage and charging machine site responds to the query request and 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 storage and charging machine.

[0136] Among them, the historical operation data carried by the data feedback message includes the identification of the storage-charging machine, data time, power of the storage-charging machine, voltage of the storage-charging machine, and current of the storage-charging machine.

[0137] It can be understood that the virtual power plant can generate a corresponding load forecasting model based on the above historical operating data.

[0138] (3) The virtual power plant sends an invitation announcement to the storage and charging integrated machine site.

[0139] The virtual power plant calls the invitation transmission interface provided by the information transmission protocol to issue a demand response invitation.

[0140] Among them, the response invitation data carried by the response invitation includes system time, load aggregator unique identifier, event type, invitation plan ID, invitation time, invitation reply deadline, response execution start time, response execution end time, transaction type (including precise response peak shaving RQXF; precise response valley filling RQTG), market demand curve (including the total demand of the entire network during the response execution period, where negative values ​​represent peak shaving and positive numbers represent valley filling), the benchmark load curve of the storage and charging integrated machine site and the adjusted load curve of the storage and charging integrated machine site.

[0141] In some embodiments, the market demand curve includes the average power of the market demand in each time interval. The reference load curve of the integrated storage and charging station includes the identification of the integrated storage and charging station and the average operating power of the integrated storage and charging station in each time interval. The adjusted load curve of the integrated storage and charging station includes the identification of the integrated storage and charging station and the maximum adjustable power of the integrated storage and charging station in each time interval.

[0142] It can be understood that the above-mentioned baseline load curve and adjustment load curve are used for reference by the administrator of the storage-charging integrated machine site when declaring a response plan.

[0143] (4) The storage and charging integrated machine site sends the declared data to the virtual power plant.

[0144] The storage-charging integrated machine site calls the response quantity transmission interface provided by the information transmission protocol and sends a declaration request.

[0145] The declaration request includes the invitation plan ID and declaration data that need to be responded to.

[0146] In some embodiments, the declared data includes time, declared capacity, declared price and adjustable capacity.

[0147] (5) The virtual power plant sends the winning bid data to the storage and charging integrated machine site.

[0148] The virtual power plant actively calls the winning bid information transmission interface provided by the information transmission protocol to issue the winning bid information.

[0149] Among them, the winning bid information includes system time, plan number, plan name, invitation plan ID, response date (the date corresponding to the response execution start time and the response execution end time), load aggregator unique identifier, event type, price curve, scheduling plan and overall plan.

[0150] In some embodiments, the price curve includes the price curve of the integrated storage and charging station in each time interval (unit: yuan / MWh). The scheduling plan includes the operating power curve of the integrated storage and charging station in each time interval. The overall plan includes: the identification of the integrated storage and charging station and the overall power curve. Among them, the overall power curve includes the average power of the integrated storage and charging station in each time interval.

[0151] (6) The virtual power plant sends deviation alarm information to the storage and charging integrated machine site.

[0152] 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.

[0153] Among them, the deviation alarm information includes the creation time, the identification of the storage and charging integrated machine site, the invitation plan ID, the deviation rate, the alarm level and the response type (precise response on the day before, real-time precise response, 5G frequency modulation).

[0154] It is understandable that after the above deviation alarm information is sent to the integrated storage-charging machine site, the management personnel of the integrated storage-charging machine site can adaptively adjust the power of the integrated storage-charging machine site based on the deviation rate in the deviation alarm information.

[0155] Based on the information transmission protocol between the virtual power plant and the storage-charging integrated machine site, and the transmission of the above-mentioned various data, the control process of the storage-charging integrated machine site in various scenarios can be realized. The following will exemplarily illustrate the scheduling method of the virtual power plant using the day-ahead adjustment scenario, the same-day adjustment scenario, and the deviation alarm scenario.

[0156] See also Figure 6 , which shows a schematic diagram of the scheduling method in the day-ahead adjustment scenario.

[0157] Step S601: The virtual power plant pushes the maximum responsiveness during the demand period to the storage-charging integrated machine site on D-1.

[0158] Among them, after the power grid initiates the invitation demand on D-1, the virtual power plant will evaluate the maximum responsiveness of the storage and charging integrated machine site during the demand period (the maximum response amount is a complete stop) based on the load forecast results, and push the maximum responsiveness to the storage and charging integrated machine site.

[0159] Step S602: The integrated storage and charging station transmits the final declared response quantity of the demand period to the virtual power plant.

[0160] Among them, the operation and maintenance personnel of the storage and charging integrated machine site can adjust the result based on experience, judgment, operational needs, etc., and generate the final declared response volume before the agreed time.

[0161] Step S603: The virtual power plant pushes the winning bid result to the storage-charging integrated machine site.

[0162] Among them, the virtual power plant operator summarizes the final declared response quantity of each storage and charging integrated machine site and declares it. After winning the bid, the virtual power plant will push the winning result to the storage and charging integrated machine site, that is, the winning response quantity corresponding to the demand period will be pushed to the storage and charging integrated machine site.

[0163] Step S604: During the demand period on day D, the integrated storage and charging station will adjust its own charging and discharging plan based on the winning response volume to meet the winning response volume.

[0164] In some embodiments, the virtual power plant monitors real-time power, calculates response volume, issues deviation warnings, and ensures effective response.

[0165] In some embodiments, the virtual power plant sends a detailed settlement bill to the storage and charging machine site. Among them, the market revenue is announced monthly. After the corresponding results are released, the virtual power plant will check the revenue and issue a detailed settlement bill to the storage and charging machine site.

[0166] See also Figure 7 , which shows a schematic diagram of the scheduling method in the same-day adjustment scenario.

[0167] Step S701: The virtual power plant pushes the adjustable capacity curve for the next day to the storage-charging integrated machine site on D-1.

[0168] Among them, the virtual power plant will evaluate the adjustable capacity curve of the storage and charging integrated machine site at 96 points on 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 full stop), and the 96-point adjustable capacity curve of the next day will be pushed to the storage and charging integrated machine site.

[0169] Step S702: The integrated storage and charging station transmits the declared curve to the virtual power plant.

[0170] Among them, the interface personnel of the storage and charging integrated machine site can adjust the 96-point adjustable capacity curve for the next day based on experience judgment, operational needs, etc., and generate the final declaration curve before the agreed time.

[0171] Step S703: The virtual power plant summarizes the declaration curves of each storage-charging integrated machine site and makes a declaration.

[0172] Step S704: On D day, the control instructions issued by the power grid are received, and based on the declared curves of each storage-charging integrated machine site, the dispatching instructions are split and the control instructions are issued to each storage-charging integrated machine site.

[0173] Among them, on D day, the power grid issues a control instruction to the virtual power plant (the instruction may be lower than the declared value). The virtual power plant will split the dispatch instruction according to the 96-point adjustable capacity, current charging power and current discharging power declared by the storage and charging integrated machine site, and then send it to the storage and charging integrated machine site (the instruction splitting mode such as equal proportion splitting and priority satisfaction can be selected) to adjust the charging power / discharging power.

[0174] Step S705: The integrated storage-charging station adjusts its own charging and discharging plan based on the control instruction.

[0175] In some embodiments, the virtual power plant monitors real-time power, calculates response volume, issues deviation warnings, and ensures effective response.

[0176] In some embodiments, the virtual power plant sends a detailed settlement bill to the storage and charging machine site. Among them, the market revenue is announced monthly. After the corresponding results are released, the virtual power plant will check the revenue and issue a detailed settlement bill to the storage and charging machine site.

[0177] In some embodiments, virtual power plants can also use 5G network slicing technology to achieve fast, real-time frequency regulation services, improving the grid regulation capabilities and stability.

[0178] Through the technical solutions provided by the above embodiments, the virtual power plant can more effectively dispatch distributed resources such as storage and charging stations, participate in the demand response and frequency regulation services of the power grid, and enhance the regulation capability and stability of the power grid. At the same time, through real-time monitoring and deviation alarms, the virtual power plant can ensure that the charging and discharging plans of the storage and charging stations are consistent with the power grid demand, improving the overall energy utilization efficiency and market response speed.

[0179] Based on the foregoing embodiments, the embodiments of the present application provide a control device for a storage-charging integrated machine site, which includes the units included and the modules included in the units, which can be implemented by a processor in a computer device; of course, it can also be implemented by a specific logic circuit; in the implementation process, the processor can be a central processing unit (CPU), a microprocessor (MPU), a digital signal processor (DSP) or a field programmable gate array (FPGA), etc.

[0180] Figure 8 A schematic diagram of the structure of a control device for a storage-charging integrated machine site provided in an embodiment of the present application is shown in FIG. Figure 8As shown, the control device 800 of the storage-charging integrated machine site includes: a sending module 810, a receiving module 820, a generating module 830, and a control module 840, wherein:

[0181] The sending module 810 is used to send the predicted regulation data of the control period to the storage-charging integrated machine site; the predicted regulation data is generated based on the load prediction model corresponding to the storage-charging integrated machine site; the receiving module 820 is used to receive the declared regulation data sent by the storage-charging integrated machine site; the declared regulation data is generated based on the predicted regulation data; the generating module 830 is used to generate the control instruction corresponding to the storage-charging integrated machine site based on the winning regulation data; the control instruction carries the final regulation data corresponding to the storage-charging integrated machine site; the winning regulation data is obtained after reporting to the power dispatching platform based on the received declared regulation data; the final regulation data is obtained after splitting the winning regulation data based on the regulation data reported by the storage-charging integrated machine site; the control module 840 is used to send the corresponding control instruction to the storage-charging integrated machine site; the control instruction is used to instruct the storage-charging integrated machine site to adjust its own charging and discharging power based on the final regulation data.

[0182] In some embodiments, the adjustment data includes the adjustable capacity data of the integrated storage and charging station during the control period, and the adjustable capacity data characterizes the charging power adjustment capability and / or discharging power adjustment capability of the integrated storage and charging station during the control period; the sending module 810 is also used to: generate overall adjustment capacity data based on the adjustable capacity data during the control period reported by each integrated storage and charging station; 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.

[0183] 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 also used to: generate an overall charging power adjustment threshold corresponding to the virtual power plant based on the charging power adjustment threshold during the control period declared by each integrated storage and charging station; generate an overall discharging power adjustment threshold corresponding to the virtual power plant based on the discharging power adjustment threshold during the control period declared by each integrated storage and charging station; wherein the overall adjustable capability data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold.

[0184] In some embodiments, the receiving module 820 is also used to: receive the winning bid adjustment data sent by the 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.

[0185] In some embodiments, the generation module 830 is also used to: determine the final adjustment data corresponding to each storage-charging integrated machine site during the control period based on the winning adjustment data and the adjustable capacity data declared by each storage-charging integrated machine site during the control period; and generate control instructions corresponding to each storage-charging integrated machine site based on the final adjustment data corresponding to each storage-charging integrated machine site during the control period.

[0186] In some embodiments, the generation module 830 is also used to: determine a target storage-charging integrated machine site with the ability to adjust the type in at least one storage-charging integrated machine site based on the adjustment type of the winning adjustment data; split the winning adjustment data based on the power adjustment threshold of the adjustment type declared by each target storage-charging integrated machine site to obtain the final adjustment data corresponding to each target storage-charging integrated machine site during the control period.

[0187] In some embodiments, the regulation data includes the operating power of the integrated storage and charging machine site during the control period; the receiving module 820 is also used to: before generating the predicted regulation data of the integrated storage and charging machine site during the control period based on the load forecasting model corresponding to the integrated storage and charging machine site, receive the invitation plan corresponding to the control period issued by the power dispatching platform; the sending module 810 is also used to send a declaration request for the invitation plan to the power dispatching platform after receiving the declared regulation data sent by the integrated storage and charging machine site; the declaration request carries the operating power declared by each integrated storage and charging machine site during the control period; receive the winning adjustment data sent by the power dispatching platform; the winning adjustment data includes the declaration results corresponding to the operating power declared by each integrated storage and charging machine site.

[0188] In some embodiments, the generation module 830 is also used to: when the declaration result indicates that the declared operating power of the storage-charging integrated machine site is successfully declared, determine the operating power declared by the storage-charging integrated machine site as the final adjustment data corresponding to the storage-charging integrated machine site; and generate corresponding control instructions based on the final adjustment data corresponding to the storage-charging integrated machine site.

[0189] In some embodiments, the generation module 830 is also used to: receive real-time operation data sent by the storage-charging integrated machine site during the control period; generate a deviation warning message based on the real-time operation data and the final adjustment data corresponding to the storage-charging integrated machine site; and send a deviation warning message to the storage-charging integrated machine site.

[0190] The description of the above device embodiment is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. In some embodiments, the functions or modules included in the device provided in the embodiment of the present application can be used to execute the method described in the above method embodiment. For technical details not disclosed in the device embodiment of the present application, please refer to the description of the method embodiment of the present application for understanding.

[0191] It should be noted that in the embodiments of the present application, if the control method of the above-mentioned storage and charging integrated machine site is implemented in the form of a software function 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 embodiment of the present application can be essentially or partly reflected in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a disk or an optical disk. In this way, the embodiments of the present application are not limited to any specific hardware, software or firmware, or any combination of hardware, software, and firmware.

[0192] An embodiment of the present application provides a computer device, including a memory for storing executable instructions; and a processor for implementing some or all of the steps in the above method when executing the executable instructions stored in the memory.

[0193] The embodiment of the present application provides a computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor, some or all of the steps in the above method are implemented. The computer-readable storage medium can be transient or non-transient.

[0194] An embodiment of the present application provides a computer program, including a computer-readable code. When the computer-readable code is run in a computer device, a processor in the computer device executes some or all of the steps for implementing the above method.

[0195] The embodiment of the present application provides a computer program product, which includes a non-transitory computer-readable storage medium storing a computer program, and when the computer program is read and executed by a computer, some or all of the steps in the above method are implemented. The computer program product can be implemented in hardware, software, or a combination thereof. In some embodiments, the computer program product is specifically embodied as a computer storage medium, and in other embodiments, the computer program product is specifically embodied as a software product, such as a software development kit (SDK), etc.

[0196] It should be noted here that the description of the various embodiments above tends to emphasize the differences between the various embodiments, and the same or similar aspects can be referenced to each other. The description of the above device, storage medium, computer program and computer program product embodiments is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment. For technical details not disclosed in the embodiments of the device, storage medium, computer program and computer program product of this application, please refer to the description of the method embodiment of this application for understanding.

[0197] Fig. 9 A hardware entity diagram of a computer device provided in an embodiment of the present application is shown in FIG. Fig. 9 As shown, 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 realize the connection and communication between these components. The user interface 903 may include a display screen, and the external communication interface 904 may include a standard wired interface and a wireless interface.

[0198] The memory 905 is configured to store instructions and applications executable by the processor 901, and can also cache data to be processed or processed by the processor 901 and various modules in the electronic device (for example, image data, audio data, voice communication data, and video communication data), which can be implemented through flash memory (FLASH) or random access memory (Random Access Memory, RAM). It should be pointed out here that the description of the above storage medium, device, apparatus, and program product embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium, device, apparatus, and program product embodiments of this application, please refer to the description of the method embodiments of this application for understanding.

[0199] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present application. Therefore, "in one embodiment" or "in some embodiments" appearing throughout the specification may not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present application, the size of the sequence number of the above-mentioned processes does not mean the 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 embodiment of the present application. The above-mentioned sequence numbers of the embodiments of the present application are for description only and do not represent the advantages and disadvantages of the embodiments.

[0200] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0201] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of devices or units can be electrical, mechanical or other forms.

[0202] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0203] In addition, all functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may be a separate unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0204] A person skilled in the art can understand that: all or part of the steps of implementing the above method embodiment can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiment; and the aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, read-only memories (ROM), magnetic disks or optical disks.

[0205] Alternatively, if the above-mentioned integrated unit of the present application is implemented in the form of a software function 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 embodiment of the present application can essentially or in other words, the part that contributes to the relevant technology can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods of each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROMs, magnetic disks, or optical disks.

[0206] The above are only implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A control method for a storage-charging integrated machine site, characterized in that: Applied to a virtual power plant in communication connection with at least one storage-charging integrated machine site, the method comprises: Sending predicted regulation data of the control period to the integrated storage and charging station; the predicted regulation data is generated based on the load prediction model corresponding to the integrated storage and charging station; Receiving the declared adjustment data sent by the integrated storage and charging machine site; the declared adjustment data is generated based on the predicted adjustment data; The control instruction corresponding to the integrated storage and charging station is generated based on the winning bid adjustment data; the control instruction carries the final adjustment data corresponding to the integrated storage and charging station; the winning bid adjustment data is obtained after being reported to the power dispatching platform based on the received reported adjustment data; the final adjustment data is based on the adjustment data reported by the integrated storage and charging station, The winning bid adjustment data is obtained by splitting; A corresponding control instruction is issued to the integrated storage and charging station; the control instruction is used to instruct the integrated 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, characterized in that The predicted adjustment data includes adjustable capacity data of the integrated storage and charging station during the control period, and the adjustable capacity data represents the charging power adjustment capacity and / or the discharging power adjustment capacity of the integrated storage and charging station during the control period; the method further includes: Based on the adjustable capacity data reported by each storage-charging integrated machine site during the control period, the overall adjustment capacity data is generated; the overall adjustment capacity data is used to characterize the charging power adjustment capacity and / or discharging power adjustment capacity of the virtual power plant during the control period; Report the overall regulation capability data to the electric power dispatching platform.

3. The method according to claim 2, characterized in that The adjustable capacity data includes a charging power adjustment threshold and / or a discharging power adjustment threshold; the overall adjustable capacity data is generated based on the adjustable capacity data reported by each storage-charging integrated machine site during the control period, including at least one of the following: Based on the charging power adjustment threshold reported by each of the integrated storage and charging machine sites during the control period, generating an overall charging power adjustment threshold corresponding to the virtual power plant; Based on the discharge power adjustment threshold reported by each of the integrated storage and charging machine sites during the control period, an overall discharge power adjustment threshold corresponding to the virtual power plant is generated; The overall regulation capability data includes an overall charging power adjustment threshold and / or an overall discharging power adjustment threshold.

4. The method according to claim 3, characterized in that The method further comprises: Receive the winning bid adjustment data sent by the 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.

5. The method according to claim 4, characterized in that The generating of the control instruction corresponding to the storage-charging integrated machine site based on the winning bid adjustment data includes: Determine the final adjustment data corresponding to each of the integrated storage and charging machine sites during the control period based on the winning adjustment data and the adjustable capacity data reported by each of the integrated storage and charging machine sites during the control period; Based on the final adjustment data corresponding to each of the integrated storage and charging machine sites in the control period, a control instruction corresponding to each of the integrated storage and charging machine sites is generated.

6. The method according to claim 5, characterized in that Based on the winning adjustment data and the adjustable capacity data declared by each of the integrated storage and charging machine sites during the control period, the final adjustment data corresponding to each of the integrated storage and charging machine sites during the control period is determined, including: Based on the adjustment type of the winning adjustment data, determining a target integrated storage and charging machine site having the capability of the adjustment type from among the at least one integrated storage and charging machine site; Based on the power adjustment threshold of the regulation type declared by each of the target integrated storage-charging machine sites, the winning regulation data is split to obtain the final regulation data corresponding to each of the target integrated storage-charging machine sites in the control period.

7. The method according to claim 1, characterized in that The predicted 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 machine site in the control period based on the load prediction model corresponding to the integrated storage and charging machine site, receiving the invitation plan corresponding to the control period issued by the power dispatching platform; After receiving the regulation data reported by the integrated storage and charging station, a reporting request for the invitation plan is sent to the power dispatching platform; the reporting request carries the operating power reported by each integrated 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 storage and charging integrated machine sites.

8. The method according to claim 7, characterized in that The generating of the control instruction corresponding to the storage-charging integrated machine site based on the winning bid adjustment data includes: In the case where the declaration result indicates that the declared operating power of the integrated storage-charging machine site is successfully declared, the declared operating power of the integrated storage-charging machine site is determined as the final adjustment data corresponding to the integrated storage-charging machine site; Based on the final adjustment data corresponding to the integrated storage and charging station, a corresponding control instruction is generated.

9. The method according to any one of claims 1 to 8, characterized in that: The method further comprises: Receiving real-time operation data sent by the storage-charging integrated machine site during the control period; Generate a deviation warning message based on the real-time operation data and the final adjustment data corresponding to the storage-charging integrated machine site; Send the deviation warning message to the integrated storage and charging station.

10. A control device for a storage and charging integrated machine site, characterized in that: Applicable to a virtual power plant in communication connection with at least one integrated storage and charging station, the control device comprises: A sending module, used to send predicted regulation data of a control period to a storage-charging integrated machine site; the predicted regulation data is generated based on a load prediction model corresponding to the storage-charging integrated machine site; A receiving module, used for receiving the declared adjustment data sent by the storage-charging integrated machine site; the declared adjustment data is generated based on the predicted adjustment data; A generation module, used to generate a control instruction corresponding to the integrated storage and charging machine site based on the winning bid adjustment data; the control instruction carries the final adjustment data corresponding to the integrated storage and charging machine site; the winning bid adjustment data is obtained after reporting to the power dispatching platform based on the received reported adjustment data; the final adjustment data is obtained after splitting the winning bid adjustment data based on the adjustment data reported by the integrated storage and charging machine site; A control module is used to send corresponding control instructions to the integrated storage and charging machine site; the control instructions are used to instruct the integrated storage and charging machine site to adjust its own charging and discharging power based on the final adjustment data.

11. A computer device, characterized in that: include: A memory for storing executable instructions; A processor is used to implement the steps in the control method of the storage-charging integrated machine site described in any one of claims 1 to 9 when executing the executable instructions stored in the memory.

12. A computer-readable storage medium, characterized in that: The storage medium stores executable instructions, and when the executable instructions are executed by the processor, the steps in the control method of the storage-charging integrated machine site described in any one of claims 1 to 9 are implemented.

13. A computer program product comprising a computer program or instructions, characterized in that When the computer program or instruction is executed by the processor, the steps in the control method of the storage-charging integrated machine site described in any one of claims 1 to 9 are implemented.

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