A power operation and maintenance method and system serving virtual power plants

Abstract

The present invention relates to the field of power service management technology, and in particular to a power operation and maintenance method and system serving a virtual power plant. The method comprises the following steps: performing load demand scheduling impact assessment analysis and abnormal supply scheduling impact assessment analysis on a virtual power plant platform to obtain virtual power plant equipment power load demand power scheduling impact factors and virtual power plant power market abnormal supply scheduling potential impact factors; performing power operation and maintenance strategy analysis on the virtual power plant platform according to the virtual power plant equipment power load demand power scheduling impact factors and virtual power plant power market abnormal supply scheduling potential impact factors to generate a virtual power plant power operation and maintenance strategy solution; performing operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy solution to obtain a virtual power plant power operation and maintenance service management result. The present invention can realize real-time monitoring and management of the operating status of a virtual power plant.

Description

Technical Field

[0001] The present invention relates to the technical field of power service management, and in particular to a power operation and maintenance method and system serving a virtual power plant. Background Art

[0002] A virtual power plant is a network that integrates decentralized power sources, loads, and energy storage facilities into a flexible operation network through advanced information technology and control technology to optimize resource allocation and improve energy efficiency. Its operation and maintenance management can monitor the power parameters, equipment status, and operation status of each node of the virtual power plant in real time by using Internet of Things technology and sensor equipment. By collecting and transmitting data in real time, it can ensure timely perception and comprehensive monitoring of the operation status of the power system. It also uses big data analysis and artificial intelligence technology to analyze and process the monitored data in real time to identify existing fault hazards and abnormal conditions. At the same time, by establishing data models and algorithms, intelligent monitoring and early warning of the operation of virtual power plants are realized, and potential fault problems are discovered and solved in a timely manner, thereby improving the efficiency and reliability of power operation and maintenance. However, traditional power operation and maintenance methods have problems such as slow response to power load dispatching, abnormal dispatching of the power market, and low operation and maintenance efficiency. Summary of the invention

[0003] Based on this, it is necessary for the present invention to provide a power operation and maintenance method and system serving virtual power plants to solve at least one of the above-mentioned technical problems.

[0004] To achieve the above object, a power operation and maintenance method serving a virtual power plant comprises the following steps:

[0005] Step S1: Monitor the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant; analyze the equipment load current and load vibration range of the virtual power plant platform based on the power operation status data of the virtual power plant to obtain the load current status data of the power equipment of the virtual power plant and the load vibration range data of the power equipment of the virtual power plant;

[0006] Step S2: Perform equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment; perform load demand scheduling impact assessment analysis on the virtual power plant platform based on the power load data of the virtual power plant power equipment to obtain the power scheduling impact factor of the virtual power plant equipment power load demand;

[0007] Step S3: Monitor the power market supply of the virtual power plant platform to obtain the power market supply status data of the virtual power plant; conduct an abnormal supply scheduling impact assessment analysis on the virtual power plant platform based on the power market supply status data of the virtual power plant to obtain potential influencing factors of abnormal supply scheduling of the virtual power plant power market;

[0008] Step S4: Conduct power operation and maintenance strategy analysis on the virtual power plant platform based on the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market to generate a virtual power plant power operation and maintenance strategy plan; perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management results.

[0009] The present invention firstly obtains detailed power operation status data by monitoring the power operation of the virtual power plant platform, including the operation status of each power device, the power load status and other information. The key of this step is to be able to monitor the operation status of the virtual power platform in real time, provide a comprehensive data basis for subsequent data processing and equipment management, and help to timely discover and solve potential problems, and ensure the stable operation of the virtual power platform. By monitoring the load current of the corresponding power equipment in the virtual power plant platform based on the power operation status data of the virtual power plant, the load current status data of each power device is obtained. The key of this step is to be able to monitor the load status of the power equipment in real time, timely discover and solve the possible overload or underload problems, and ensure the stable operation of the power equipment in the virtual power plant. At the same time, the load vibration range of the power equipment in the virtual power plant platform is analyzed according to the load current status data obtained by monitoring, so as to analyze the vibration range of the power equipment load, evaluate the stability and reliability of the equipment operation, timely discover and solve the existing load fluctuation problems, and ensure the safe operation of the virtual power plant platform. Through the vibration range analysis, it can also provide a scientific basis for the maintenance and management of the power equipment in the virtual power plant platform, thereby extending the service life of the power equipment and reducing the operation and maintenance cost. Secondly, by performing equipment power load identification and analysis based on the load current status data of the power equipment in the virtual power plant and the load vibration range data of the power equipment in the virtual power plant, we can deeply understand the load characteristics and change trends of the power equipment, and provide important reference for the operation and management of the virtual power plant platform. This analysis can help determine the power load of each device, thereby providing basic data for the subsequent power load demand analysis and providing support for the stable operation of the power grid. By conducting load demand dispatch impact assessment and analysis on the virtual power plant platform based on the power load data of the power equipment in the virtual power plant, we can evaluate the degree and influencing factors of power dispatch on the equipment load demand. This analysis can provide a reference for the formulation of dispatch strategies and plans for the virtual power plant platform, help optimize the allocation of power resources and dispatch arrangements, and thus improve the operation efficiency and stability of the power grid. Then, by monitoring the power market supply of the external power market within the virtual power plant platform, it is helpful to understand the supply and demand relationship and market supply status of the power market. This analysis can reveal the structure and characteristics of market supply and provide a reference for market regulation and optimization. By identifying the market supply status, we can timely discover the contradictions and potential problems in the market supply and demand, and provide decision support for market dispatch and operation. By conducting an abnormal supply dispatch impact assessment and analysis on the virtual power plant platform based on the virtual power plant power market supply status data, it is helpful to evaluate the degree and potential factors of the impact of abnormal market supply on market operation and the virtual power plant platform. This analysis can timely discover abnormal situations and potential risks in the power market, and provide early warning and response measures for the power dispatch and management of the virtual power plant platform.By evaluating the influencing factors of abnormal supply dispatch, the power market dispatch strategy can be optimized, thereby improving the operating efficiency and stability of the virtual power plant platform in the power market. Finally, the power operation and maintenance strategy of the virtual power plant platform is analyzed according to the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market. The purpose of this step is to comprehensively consider factors such as load demand and market fluctuations, and formulate a power operation and maintenance strategy plan suitable for the current situation. Through the generated virtual power plant power operation and maintenance strategy plan, the power supply can be effectively managed to ensure the stable and reliable operation of the power market in the virtual power plant platform, thereby improving the response speed of power load dispatch and abnormal dispatch of the power market. In addition, the virtual power plant platform is also managed by the operation and maintenance service according to the generated virtual power plant power operation and maintenance strategy plan. The purpose of this step is to implement specific operation and maintenance service management measures according to the formulated operation and maintenance strategy plan to ensure the stability and reliability of power supply. It can also evaluate the effect of operation and maintenance services, adjust strategies in time, and ensure the normal operation of the virtual power plant platform, so as to more accurately improve the power operation and maintenance efficiency of the virtual power plant platform.

[0010] Preferably, the present invention further provides a power operation and maintenance system serving a virtual power plant, which is used to execute the power operation and maintenance method serving a virtual power plant as described above, and the power operation and maintenance system serving a virtual power plant comprises:

[0011] The virtual power plant power equipment load monitoring module is used to monitor the power operation of the virtual power plant platform and obtain the power operation status data of the virtual power plant; based on the power operation status data of the virtual power plant, the equipment load current and load vibration range of the virtual power plant platform are analyzed to obtain the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment;

[0012] The power equipment load demand dispatching impact assessment module is used to perform equipment power load identification and analysis based on the virtual power plant power equipment load current status data and the virtual power plant power equipment load vibration range data to obtain the virtual power plant power equipment load data; based on the virtual power plant power equipment load data, the load demand dispatching impact assessment and analysis is performed on the virtual power plant platform to obtain the virtual power plant equipment power load demand power dispatching impact factor;

[0013] The power market abnormal supply dispatch impact assessment module is used to monitor the power market supply of the virtual power plant platform and obtain the power market supply status data of the virtual power plant; based on the power market supply status data of the virtual power plant, the abnormal supply dispatch impact assessment analysis of the virtual power plant platform is performed to obtain the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market;

[0014] The virtual power plant power operation and maintenance service management module is used to analyze the power operation and maintenance strategy of the virtual power plant platform according to the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market, so as to generate a virtual power plant power operation and maintenance strategy plan; according to the virtual power plant power operation and maintenance strategy plan, the virtual power plant platform is managed and processed for operation and maintenance services, so as to obtain the power operation and maintenance service management results of the virtual power plant.

[0015] In summary, the present invention provides an electric power operation and maintenance system serving a virtual power plant, which consists of a virtual power plant power equipment load monitoring module, a power equipment load demand scheduling impact assessment module, a power market abnormal supply scheduling impact assessment module and a virtual power plant power operation and maintenance service management module. It can implement any one of the electric power operation and maintenance methods serving the virtual power plant described in the present invention, and is used to combine the operations between computer programs running on each module to implement an electric power operation and maintenance method serving the virtual power plant. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient electric power operation and maintenance process, thereby simplifying the operating procedures of the electric power operation and maintenance system serving the virtual power plant. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments thereof made with reference to the following drawings:

[0017] Figure 1 A schematic flow chart of the steps of the power operation and maintenance method for a virtual power plant according to the present invention;

[0018] Figure 2 for Figure 1 Detailed step flow diagram of step S1;

[0019] Figure 3 for Figure 2 Detailed step flow chart of step S15 in FIG. DETAILED DESCRIPTION

[0020] The following is a clear and complete description of the technical method of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. The functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor methods and / or microcontroller methods.

[0022] It should be understood that, although the terms "first", "second", etc. may be used herein to describe various units, these units should not be limited by these terms. These terms are used only to distinguish one unit from another unit. For example, without departing from the scope of the exemplary embodiments, the first unit may be referred to as the second unit, and similarly the second unit may be referred to as the first unit. The term "and / or" used herein includes any and all combinations of one or more of the listed associated items.

[0023] To achieve this, please refer to Figures 1 to 3 The present invention provides a power operation and maintenance method serving a virtual power plant, the method comprising the following steps:

[0024] Step S1: Monitor the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant; analyze the equipment load current and load vibration range of the virtual power plant platform based on the power operation status data of the virtual power plant to obtain the load current status data of the power equipment of the virtual power plant and the load vibration range data of the power equipment of the virtual power plant;

[0025] Step S2: Perform equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment; perform load demand scheduling impact assessment analysis on the virtual power plant platform based on the power load data of the virtual power plant power equipment to obtain the power scheduling impact factor of the virtual power plant equipment power load demand;

[0026] Step S3: Monitor the power market supply of the virtual power plant platform to obtain the power market supply status data of the virtual power plant; conduct an abnormal supply scheduling impact assessment analysis on the virtual power plant platform based on the power market supply status data of the virtual power plant to obtain potential influencing factors of abnormal supply scheduling of the virtual power plant power market;

[0027] Step S4: Conduct power operation and maintenance strategy analysis on the virtual power plant platform based on the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market to generate a virtual power plant power operation and maintenance strategy plan; perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management results.

[0028] In the embodiment of the present invention, please refer to Figure 1 As shown, it is a schematic diagram of the steps of the power operation and maintenance method serving a virtual power plant of the present invention. In this example, the power operation and maintenance method serving a virtual power plant includes the following steps:

[0029] Step S1: Monitor the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant; analyze the equipment load current and load vibration range of the virtual power plant platform based on the power operation status data of the virtual power plant to obtain the load current status data of the power equipment of the virtual power plant and the load vibration range data of the power equipment of the virtual power plant;

[0030] The embodiment of the present invention uses corresponding sensors to monitor the power operation of the power equipment and related systems in the virtual power plant platform in real time, so as to monitor the operation status of the relevant power equipment in the virtual power platform in real time, including the operation status of each power equipment, the power load status and other information, so as to obtain the power operation status data of the virtual power plant. At the same time, the load current of the corresponding power equipment in the virtual power plant platform is monitored and processed by combining the virtual power plant power operation status data obtained after preprocessing, so as to monitor the load current of the relevant power equipment in real time, so as to obtain the load current status data of the virtual power plant power equipment. Then, the corresponding power equipment in the virtual power plant platform is analyzed by combining the load current status data of the virtual power plant power equipment obtained by analysis, so as to analyze the change of the load current of the virtual power plant power equipment, and the corresponding change amplitude and change frequency are obtained by analysis to quantify and calculate the vibration of the load current of the corresponding power equipment. Finally, the vibration range of the load current of the power equipment is determined by identifying the maximum and minimum values ​​of the load current vibration within a period of time by combining the vibration situation obtained by quantitative analysis, that is, the vibration change range allowed within a period of time, and finally the load vibration range data of the virtual power plant power equipment is obtained.

[0031] Step S2: Perform equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment; perform load demand scheduling impact assessment analysis on the virtual power plant platform based on the power load data of the virtual power plant power equipment to obtain the power scheduling impact factor of the virtual power plant equipment power load demand;

[0032] The embodiment of the present invention identifies and analyzes the power load of the equipment by combining the load current status data of the virtual power plant power equipment obtained by analysis and the load vibration range data of the virtual power plant power equipment, so as to deeply understand the load characteristics and change trends of the power equipment, and identify whether there are abnormalities or overloads to help determine the power load conditions of each power equipment, thereby obtaining the power load data of the virtual power plant power equipment. The load demand of the power equipment in different time periods is determined by combining the power load data of the virtual power plant power equipment obtained by analysis, and the impact correlation relationship between the load of the power equipment and the power dispatch is determined. The corresponding power equipment in the virtual power plant platform is evaluated and analyzed using an impact assessment algorithm to evaluate the impact of the load demand on the power dispatch arrangement to determine the influencing factors that lead to the adjustment of the power dispatch and the reduction of energy efficiency, and finally obtain the power dispatch influencing factor of the power load demand of the virtual power plant equipment.

[0033] Step S3: Monitor the power market supply of the virtual power plant platform to obtain the power market supply status data of the virtual power plant; conduct an abnormal supply scheduling impact assessment analysis on the virtual power plant platform based on the power market supply status data of the virtual power plant to obtain potential influencing factors of abnormal supply scheduling of the virtual power plant power market;

[0034] The embodiment of the present invention regularly collects data on power supply in the corresponding external power market in the virtual power plant platform, including the total power supply in each period within a period of time, and uses a suitable prediction algorithm (including time series analysis or machine learning model) to predict the power demand of the power usage trend of the external power market process in the virtual power plant platform, so as to predict the power demand trend and change of the power market in a specific time period in the future. At the same time, the corresponding external power market in the virtual power plant platform is analyzed by combining the power supply and demand obtained by analysis, so as to compare the power supply and demand to determine the supply state of the power market, such as oversupply, undersupply, or balance, so as to obtain the virtual power plant power market supply state data. Secondly, by combining the virtual power plant power market supply state data to analyze and identify the corresponding abnormal mutation area, and map the abnormal situation occurrence area obtained by analysis with the geographical location of the actual power market to determine the specific supply area of ​​the abnormal situation in the power market, and then, by using the potential impact assessment algorithm to evaluate and analyze the corresponding abnormal supply area, so as to evaluate the influencing factors of different abnormal situations on the power market supply dispatch, including supply shortage, price fluctuation, dispatch delay, etc., and finally obtain the potential influencing factors of abnormal supply dispatch of the virtual power plant power market.

[0035] Step S4: Conduct power operation and maintenance strategy analysis on the virtual power plant platform based on the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market to generate a virtual power plant power operation and maintenance strategy plan; perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management results.

[0036] The embodiment of the present invention uses the evaluated virtual power plant equipment power load demand power dispatching influencing factors to dynamically respond to the load supply of the corresponding power equipment in the virtual power plant platform, so as to timely adjust the power supply of the power equipment in the virtual power plant platform under the power load state according to the actual power load demand situation influencing factors, and generate corresponding dynamic response instructions. At the same time, by using the evaluated virtual power plant power market abnormal supply dispatching potential influencing factors, a dynamic response is made to the abnormal fluctuation supply of the corresponding power market in the virtual power plant platform, so as to adjust the power supply of the power equipment in the virtual power plant platform under the abnormal fluctuation state of the power market according to the monitored power market changes and abnormal situations, and generate corresponding dynamic response instructions. Secondly, by comprehensively considering the dynamic response instructions of load demand and market fluctuations, the response priority and dispatching strategy are determined to formulate a power operation and maintenance strategy plan suitable for the current situation, thereby generating a virtual power plant power operation and maintenance strategy plan. Then, by using the virtual power plant power operation and maintenance strategy solution generated by the previous analysis, corresponding operation and maintenance service management is carried out for the corresponding power equipment and power market in the virtual power plant platform, including dispatching power equipment, power resources, monitoring the operation of the power market, and responding to abnormal changes in a timely manner, so as to ensure the stability and reliability of the power supply of the virtual power plant platform, and finally obtain the virtual power plant power operation and maintenance service management results.

[0037] The present invention firstly obtains detailed power operation status data by monitoring the power operation of the virtual power plant platform, including the operation status of each power device, the power load status and other information. The key of this step is to be able to monitor the operation status of the virtual power platform in real time, provide a comprehensive data basis for subsequent data processing and equipment management, and help to timely discover and solve potential problems, and ensure the stable operation of the virtual power platform. By monitoring the load current of the corresponding power equipment in the virtual power plant platform based on the power operation status data of the virtual power plant, the load current status data of each power device is obtained. The key of this step is to be able to monitor the load status of the power equipment in real time, timely discover and solve the possible overload or underload problems, and ensure the stable operation of the power equipment in the virtual power plant. At the same time, the load vibration range of the power equipment in the virtual power plant platform is analyzed according to the load current status data obtained by monitoring, so as to analyze the vibration range of the power equipment load, evaluate the stability and reliability of the equipment operation, timely discover and solve the existing load fluctuation problems, and ensure the safe operation of the virtual power plant platform. Through the vibration range analysis, it can also provide a scientific basis for the maintenance and management of the power equipment in the virtual power plant platform, thereby extending the service life of the power equipment and reducing the operation and maintenance cost. Secondly, by performing equipment power load identification and analysis based on the load current status data of the power equipment in the virtual power plant and the load vibration range data of the power equipment in the virtual power plant, we can deeply understand the load characteristics and change trends of the power equipment, and provide important reference for the operation and management of the virtual power plant platform. This analysis can help determine the power load of each device, thereby providing basic data for the subsequent power load demand analysis and providing support for the stable operation of the power grid. By conducting load demand dispatch impact assessment and analysis on the virtual power plant platform based on the power load data of the power equipment in the virtual power plant, we can evaluate the degree and influencing factors of power dispatch on the equipment load demand. This analysis can provide a reference for the formulation of dispatch strategies and plans for the virtual power plant platform, help optimize the allocation of power resources and dispatch arrangements, and thus improve the operation efficiency and stability of the power grid. Then, by monitoring the power market supply of the external power market within the virtual power plant platform, it is helpful to understand the supply and demand relationship and market supply status of the power market. This analysis can reveal the structure and characteristics of market supply and provide a reference for market regulation and optimization. By identifying the market supply status, we can timely discover the contradictions and potential problems in the market supply and demand, and provide decision support for market dispatch and operation. By conducting an abnormal supply dispatch impact assessment and analysis on the virtual power plant platform based on the virtual power plant power market supply status data, it is helpful to evaluate the degree and potential factors of the impact of abnormal market supply on market operation and the virtual power plant platform. This analysis can timely discover abnormal situations and potential risks in the power market, and provide early warning and response measures for the power dispatch and management of the virtual power plant platform.By evaluating the influencing factors of abnormal supply dispatch, the power market dispatch strategy can be optimized, thereby improving the operating efficiency and stability of the virtual power plant platform in the power market. Finally, the power operation and maintenance strategy of the virtual power plant platform is analyzed according to the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market. The purpose of this step is to comprehensively consider factors such as load demand and market fluctuations, and formulate a power operation and maintenance strategy plan suitable for the current situation. Through the generated virtual power plant power operation and maintenance strategy plan, the power supply can be effectively managed to ensure the stable and reliable operation of the power market in the virtual power plant platform, thereby improving the response speed of power load dispatch and abnormal dispatch of the power market. In addition, the virtual power plant platform is also managed by the operation and maintenance service according to the generated virtual power plant power operation and maintenance strategy plan. The purpose of this step is to implement specific operation and maintenance service management measures according to the formulated operation and maintenance strategy plan to ensure the stability and reliability of power supply. It can also evaluate the effect of operation and maintenance services, adjust strategies in time, and ensure the normal operation of the virtual power plant platform, so as to more accurately improve the power operation and maintenance efficiency of the virtual power plant platform.

[0038] Preferably, step S1 comprises the following steps:

[0039] Step S11: monitoring the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant;

[0040] Step S12: performing data denoising on the power operation status data of the virtual power plant to obtain denoised data of the power operation status of the virtual power plant; performing data smoothing on the denoised data of the power operation status of the virtual power plant to obtain smoothed data of the power operation status of the virtual power plant;

[0041] Step S13: performing equipment operation status screening processing on the power equipment in the virtual power plant platform based on the virtual power plant power operation status smoothing data to obtain the virtual power plant power equipment operation status data;

[0042] Step S14: performing load current monitoring processing on the power equipment in the virtual power plant platform based on the operation status data of the power equipment in the virtual power plant to obtain the load current status data of the power equipment in the virtual power plant;

[0043] Step S15: performing load vibration range analysis on the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load vibration range data of the power equipment in the virtual power plant.

[0044] As an embodiment of the present invention, refer to Figure 2 As shown, Figure 1 Detailed step flow diagram of step S1 in FIG. 1 , in this embodiment, step S1 includes the following steps:

[0045] Step S11: monitoring the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant;

[0046] The embodiment of the present invention uses corresponding sensors to perform real-time monitoring of the power operation of power equipment and related systems in the virtual power plant platform, so as to monitor the operating conditions of related power equipment in the virtual power platform in real time, including the operating conditions of each power equipment, power load conditions and other information, and finally obtain the power operation status data of the virtual power plant.

[0047] Step S12: performing data denoising on the power operation status data of the virtual power plant to obtain denoised data of the power operation status of the virtual power plant; performing data smoothing on the denoised data of the power operation status of the virtual power plant to obtain smoothed data of the power operation status of the virtual power plant;

[0048] The embodiment of the present invention uses a filter to perform data denoising on the power operation status data of the virtual power plant obtained by real-time monitoring to identify and filter out abnormal values, noise and interference therein, and improve the quality and accuracy of the data, thereby obtaining the denoised data of the power operation status of the virtual power plant. Then, the denoised data of the power operation status of the virtual power plant after denoising is processed by using a data smoothing method to reduce the volatility of the data, making it easier to analyze and understand, and finally obtaining the smoothed data of the power operation status of the virtual power plant.

[0049] Step S13: performing equipment operation status screening processing on the power equipment in the virtual power plant platform based on the virtual power plant power operation status smoothing data to obtain the virtual power plant power equipment operation status data;

[0050] The embodiment of the present invention performs power operation screening processing on the corresponding power equipment in the virtual power plant platform by combining the virtual power plant power operation status smoothed data obtained after smoothing, so as to extract more detailed and specific power data under the power equipment operation status (including only the power data of relevant power equipment) from the complete virtual power plant power operation data, and finally obtain the virtual power plant power equipment operation status data.

[0051] Step S14: performing load current monitoring processing on the power equipment in the virtual power plant platform based on the operation status data of the power equipment in the virtual power plant to obtain the load current status data of the power equipment in the virtual power plant;

[0052] The embodiment of the present invention monitors and processes the current conditions of the corresponding power equipment in the virtual power plant platform in combination with the screened virtual power plant power equipment operating status data, so as to monitor the load current conditions of the relevant power equipment in real time, and promptly discover and solve existing current overload or underload problems, thereby helping to identify any potential current load problems or abnormal conditions, and ultimately obtaining the load current status data of the virtual power plant power equipment.

[0053] Step S15: performing load vibration range analysis on the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load vibration range data of the power equipment in the virtual power plant.

[0054] The embodiment of the present invention analyzes the corresponding power equipment in the virtual power plant platform by combining the load current status data of the virtual power plant power equipment obtained by analysis, so as to analyze the change of the load current of the virtual power plant power equipment, and calculates the statistical indicators such as the average value, maximum value, minimum value, standard deviation and the like related to the change amplitude by using a mathematical statistical analysis method. At the same time, the magnitude of the change amplitude of the load current is understood according to the statistical indicator analysis obtained by statistical calculation, and the frequency of the load change is also analyzed and revealed. Secondly, the vibration of the corresponding load current of the power equipment is quantitatively calculated by combining the change amplitude and the change frequency obtained by analysis. Then, the maximum and minimum values ​​of the load current vibration within a period of time are identified by combining the vibration conditions obtained by quantitative analysis to determine the vibration range of the load current of the power equipment, that is, the vibration change range allowed within a period of time, and finally the load vibration range data of the virtual power plant power equipment is obtained.

[0055] The present invention firstly obtains detailed power operation status data by monitoring the power operation of the virtual power plant platform, including the operation status of each power equipment, power load status and other information. The key of this step is to be able to monitor the operation status of the virtual power platform in real time, providing a comprehensive data basis for subsequent data processing and equipment management, which is helpful to timely discover and solve potential problems and ensure the stable operation of the virtual power platform. Secondly, by performing data denoising and smoothing on the power operation status data of the virtual power plant, the quality and reliability of the data can be effectively improved. Noise removal and smoothing can eliminate abnormal values ​​and fluctuations in the data, making the data more stable and reliable, and providing a more accurate basis for subsequent analysis and decision-making. The key of this step is to optimize the data processing process and improve the credibility of the data, thereby providing more reliable data support for subsequent equipment status analysis and load monitoring. Then, by screening the corresponding power equipment in the virtual power plant platform based on the smoothed data of the power operation status of the virtual power plant, more accurate and reliable power equipment operation status data is obtained. Through screening and processing, more detailed data on the operating status of power equipment can be extracted from the complete virtual power plant power operation data, thereby providing a more reliable data basis for subsequent load current monitoring and load vibration range analysis. Next, by monitoring the load current of the power equipment in the virtual power plant platform based on the operating status data of the power equipment in the virtual power plant, the load current status data of each power equipment is obtained. The key to this step is to be able to monitor the load of the power equipment in real time, timely discover and solve possible overload or underload problems, and ensure the stable operation of the power equipment in the virtual power plant. At the same time, by monitoring the load current, it can also provide an important basis for the evaluation of the operating status of the equipment and improve the operating efficiency and reliability of the equipment. Finally, by analyzing the load vibration range of the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant, the vibration range of the power equipment load is analyzed, and the stability and reliability of the equipment operation are evaluated, and the existing load fluctuation problems are discovered and solved in time to ensure the safe operation of the virtual power plant platform. Through vibration range analysis, it can also provide a scientific basis for the maintenance and management of power equipment in the virtual power plant platform, thereby extending the service life of power equipment and reducing operation and maintenance costs.

[0056] Preferably, step S15 comprises the following steps:

[0057] Step S151: analyzing the load current changes of the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load current change data of the power equipment in the virtual power plant;

[0058] Step S152: performing a statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change range of the virtual power plant equipment;

[0059] Step S153: performing a frequency statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change frequency of the virtual power plant equipment;

[0060] Step S154: based on the load current variation amplitude and the load current variation frequency of the virtual power plant equipment, a vibration measurement value is calculated for the load current variation data of the virtual power plant equipment using a load current vibration measurement calculation formula to obtain a load current vibration measurement value of the virtual power plant equipment;

[0061] Step S155: Based on the load current vibration measurement value of the virtual power plant power equipment, load vibration range analysis is performed on the power equipment in the virtual power plant platform to obtain load vibration range data of the virtual power plant power equipment.

[0062] As an embodiment of the present invention, refer to Figure 3 As shown, Figure 2 Detailed step flow diagram of step S15 in FIG. 1 , in this embodiment, step S15 includes the following steps:

[0063] Step S151: analyzing the load current changes of the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load current change data of the power equipment in the virtual power plant;

[0064] The embodiment of the present invention analyzes the corresponding power equipment in the virtual power plant platform by combining the load current status data of the virtual power plant power equipment obtained by analysis, so as to analyze the changes in the load current of the virtual power plant power equipment, and gain insight into the load power changes of the power equipment in different time periods, including any abnormal or periodic changes, and finally obtain the load current change data of the virtual power plant power equipment.

[0065] Step S152: performing a statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change range of the virtual power plant equipment;

[0066] The embodiment of the present invention uses a mathematical statistical analysis method to perform statistical analysis on the load current change data of the virtual power plant power equipment obtained by analysis, so as to statistically calculate statistical indicators such as the average value, maximum value, minimum value, standard deviation and other statistical indicators related to the change amplitude, and analyze the statistical indicators obtained by the statistical calculation to understand the magnitude of the load current change amplitude, and finally obtain the load current change amplitude of the virtual power plant equipment.

[0067] Step S153: performing a frequency statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change frequency of the virtual power plant equipment;

[0068] The embodiment of the present invention uses a frequency statistics method to perform statistical analysis on the load current change data of the virtual power plant power equipment to reveal the frequency and periodicity of the load change, help understand the dynamic characteristics of the power equipment operation, and finally obtain the load current change frequency of the virtual power plant equipment.

[0069] Step S154: based on the load current variation amplitude and the load current variation frequency of the virtual power plant equipment, a vibration measurement value is calculated for the load current variation data of the virtual power plant equipment using a load current vibration measurement calculation formula to obtain a load current vibration measurement value of the virtual power plant equipment;

[0070] The embodiment of the present invention forms a suitable load current vibration measurement calculation formula by combining the time range parameter, the time point parameter for vibration measurement value calculation, the load current, the load current change amplitude of the virtual power plant equipment, the load current change amplitude influence weight parameter, the load current offset, the load current change frequency of the virtual power plant equipment, the load current change frequency influence weight parameter, the integral time step influence degree coefficient, the vibration time sine wave influence amplitude parameter, the vibration time sine wave influence frequency parameter and related parameters to calculate the vibration measurement value of the load current change data of the virtual power plant power equipment to quantify the vibration condition of the equipment load current, and finally obtain the load current vibration measurement value of the virtual power plant power equipment.

[0071] Step S155: Based on the load current vibration measurement value of the virtual power plant power equipment, load vibration range analysis is performed on the power equipment in the virtual power plant platform to obtain load vibration range data of the virtual power plant power equipment.

[0072] The embodiment of the present invention analyzes the vibration range of the corresponding power equipment in the virtual power plant platform within a period of time by combining the load current vibration measurement values ​​of the virtual power plant power equipment obtained by analysis, so as to identify the maximum and minimum values ​​of the load current vibration within this period of time to determine the vibration range of the load current of the power equipment, that is, the vibration variation range allowed within a period of time, and finally obtain the load vibration range data of the virtual power plant power equipment.

[0073] The present invention first analyzes the load current changes of the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant, so as to analyze the changes in the load current of the power equipment in the virtual power plant, and can gain insight into the load conditions of the equipment in different time periods, so as to better understand the operating status and performance of the equipment. This analysis can provide basic data for subsequent load vibration range analysis, help discover the laws and trends of equipment load changes, and then provide data support for the stable operation of the virtual power plant platform. Secondly, by performing a statistical analysis of the change amplitude of the load current change data of the power equipment in the virtual power plant, it is helpful to determine the degree and amplitude of the load change, so as to evaluate the size of the load change of the equipment. By understanding the amplitude of the load change, the equipment operating parameters can be adjusted in time, and the load distribution of the system can be optimized to ensure that the virtual power plant platform operates stably within a reasonable load range, thereby improving energy utilization efficiency and system reliability. Then, by performing a statistical analysis of the frequency of the equipment load current change data, the frequency and periodicity of the load change can be revealed, which helps to understand the dynamic characteristics of the equipment operation. This analysis can discover the regularity and periodicity of the equipment load change, provide a basis for monitoring and predicting the equipment operation status, and help to formulate corresponding operation and maintenance strategies and maintenance plans, and improve the stability and reliability of the virtual power plant platform. Next, based on the load current change amplitude and load current change frequency of the virtual power plant equipment, the load current vibration measurement calculation formula is used to calculate the vibration measurement value of the load current change data of the virtual power plant power equipment. This calculation can quantify the vibration of the equipment load current, provide objective data support for the subsequent load vibration range analysis, and help identify the degree and frequency of equipment load changes, so as to better evaluate the stability and reliability of the power equipment in the virtual power plant platform. Finally, by analyzing the load vibration range of power equipment in the virtual power plant platform based on the load current vibration measurement values ​​of the virtual power plant power equipment, the vibration range and limit of the equipment load under different conditions can be determined, which helps to evaluate the safety and stability of equipment operation. This analysis can discover potential risks and problems of equipment load vibration, and take timely measures to adjust and optimize, to ensure the safe operation of power equipment, thereby improving the efficiency and reliability of equipment use.

[0074] Preferably, the load current vibration metric calculation formula in step S154 is specifically:

[0075]

[0076] Wherein, V(t) is the vibration measurement value of the load current of the virtual power plant power equipment at time point t, T is the time range parameter, t is the time point parameter for calculating the vibration measurement value, I(t) is the load current at time point t, f(t) is the load current change amplitude of the virtual power plant equipment at time point t, α is the load current change amplitude influence weight parameter, β is the load current offset, p(t) is the load current change frequency of the virtual power plant equipment at time point t, γ is the load current change frequency influence weight parameter, δ is the integral time step influence degree coefficient, ε1 is the vibration time sine wave influence amplitude parameter, ε2 is the vibration time sine wave influence frequency parameter, and η is the correction coefficient of the vibration measurement value of the load current of the virtual power plant power equipment.

[0077] The present invention obtains a load current vibration measurement calculation formula by using a specific mathematical model and after verification, which is used to calculate the vibration measurement value of the load current change data of the virtual power plant power equipment. The load current vibration measurement calculation formula comprehensively considers the influence of the load current change amplitude and change frequency on the load current vibration of the power equipment, and uses α and γ as weight parameters to consider the contribution of different factors to the load current vibration, so that the vibration measurement is more comprehensive. The parameters in the formula also consider the load current and frequency at the time point t, as well as the load current change amplitude and frequency at the time point t, so the vibration measurement value of the power equipment can be calculated in real time, thereby reflecting the current vibration state of the load current. By introducing the coefficient of the degree of influence of the integral time step, the influence of the time step in the integral process can be considered, so that the vibration measurement more specifically reflects the actual situation of the vibration of the power equipment. In addition, by introducing the amplitude parameter and the frequency parameter of the vibration time sine wave influence, the periodic change of the vibration can be considered, and the accuracy of the vibration measurement is further improved. In addition, the correction coefficient in the formula can correct the vibration measurement value according to the actual situation, which can increase the reliability and stability of the calculation results. In summary, this formula comprehensively considers the impact of multiple factors on the load current vibration of power equipment, and realizes the quantitative evaluation of vibration through a specific calculation process, thereby providing a detailed analysis and evaluation of the vibration state of the power equipment. Therefore, this formula fully considers the load current vibration measurement value V(t) of the virtual power plant power equipment at time point t, the time range parameter T, the time point parameter t for vibration measurement value calculation, the load current I(t) at time point t, the load current change amplitude f(t) of the virtual power plant equipment at time point t, the load current change amplitude influence weight parameter α, the load current offset β, the load current change frequency p(t) of the virtual power plant equipment at time point t, the load current change frequency influence weight parameter γ, the integral time step influence degree coefficient δ, the vibration time sine wave influence amplitude parameter ε1, the vibration time sine wave influence frequency parameter ε2, and the correction coefficient η of the load current vibration measurement value of the virtual power plant power equipment. According to the mutual correlation between the load current vibration measurement value V(t) of the virtual power plant power equipment at time point t and the above parameters, a functional relationship is formed. This formula can realize the vibration measurement value calculation process of the load current change data of the virtual power plant power equipment. At the same time, by introducing the correction coefficient η of the load current vibration measurement value of the virtual power plant power equipment, it can be adjusted according to the error occurring in the calculation process, thereby improving the accuracy and applicability of the load current vibration measurement calculation formula.

[0078] Preferably, step S2 comprises the following steps:

[0079] Step S21: performing equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment;

[0080] The embodiment of the present invention identifies and analyzes the power load of the equipment by combining the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment obtained by analysis, so as to gain an in-depth understanding of the load characteristics and changing trends of the power equipment, and identify whether there are abnormalities or overloads therein to help determine the power load conditions of each power equipment, and ultimately obtain the power load data of the virtual power plant power equipment.

[0081] Step S22: Performing power load demand analysis on the power load data of the power equipment of the virtual power plant to obtain the load demand data of the power equipment of the virtual power plant;

[0082] The embodiment of the present invention uses a demand analysis method to perform statistical analysis on the power load data of the virtual power plant power equipment obtained by analysis, so as to understand the load demand pattern of the power equipment in different time periods, as well as its overall load demand for the power equipment in the virtual power plant platform, and finally obtain the load demand data of the virtual power plant power equipment.

[0083] Step S23: Performing power dispatch impact correlation analysis on the load demand data of the power equipment in the virtual power plant to obtain the impact correlation relationship of the load dispatch of the power equipment in the virtual power plant;

[0084] The embodiment of the present invention uses an impact correlation analysis method to evaluate and analyze the load demand data of power equipment in a virtual power plant for power dispatching, so as to analyze the degree of matching between load demand and power dispatching arrangement and the potential impact of load changes on the dispatching plan, determine the impact correlation relationship between power equipment load and power dispatching, and help understand the interaction between power dispatching and equipment load, and finally obtain the impact correlation relationship of power equipment load dispatching in the virtual power plant.

[0085] Step S24: Based on the impact relationship of load dispatch of power equipment in the virtual power plant, load demand dispatch impact assessment and analysis is performed on the power equipment in the virtual power plant platform to obtain the power dispatch impact factor of the power load demand of the virtual power plant equipment.

[0086] The embodiment of the present invention uses an impact assessment algorithm to evaluate and analyze the corresponding power equipment in the virtual power plant platform by combining the analyzed virtual power plant power equipment load scheduling impact association relationship, so as to evaluate the impact of load demand on power scheduling arrangements to determine the influencing factors that lead to power scheduling adjustments and reduced energy efficiency, and finally obtain the virtual power plant equipment power load demand power scheduling impact factor.

[0087] The present invention firstly performs equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment, which can deeply understand the load characteristics and change trends of the power equipment, and provide important reference for the operation and management of the virtual power plant platform. This analysis can help determine the power load of each device, thereby providing basic data for subsequent power load demand analysis and providing support for the stable operation of the power grid. Secondly, by performing power load demand analysis on the power load data of the virtual power plant power equipment, it is helpful to understand the load demand of the power equipment in different periods, as well as the demand and change trend of power supply to the power grid. This analysis can provide a basis for load prediction and scheduling of power grid operation, help the operator of the virtual power plant platform to reasonably allocate resources, and improve the efficiency and reliability of power supply. Then, by performing power dispatching impact correlation analysis on the load demand data of the virtual power plant power equipment, the influence relationship of power dispatching on the equipment load can be revealed, and the interaction between power dispatching and equipment load can be understood. This analysis can discover the influence mode and law of power dispatching on the equipment load, and provide a scientific basis for the power dispatching decision of the virtual power plant platform, and optimize the utilization and allocation of power resources. Finally, by conducting load demand scheduling impact assessment and analysis on power equipment within the virtual power plant platform based on the impact correlation of load scheduling of power equipment in the virtual power plant, the degree and influencing factors of power scheduling on equipment load demand can be evaluated. This analysis can provide a reference for the formulation of scheduling strategies and plans for the virtual power plant platform, help optimize the allocation of power resources and scheduling arrangements, and thus improve the operating efficiency and stability of the power grid.

[0088] Preferably, step S3 comprises the following steps:

[0089] Step S31: monitoring the power supply of the external power market within the virtual power plant platform to obtain power supply data of the power market of the virtual power plant platform;

[0090] The embodiment of the present invention helps to understand the real-time power supply situation of the power market by regularly collecting data on power supply of the corresponding external power market within the virtual power plant platform, including the total power supply in each period within a period of time, and finally obtains the power supply data of the virtual power plant platform power market.

[0091] Step S32: performing demand forecasting and analysis on the external power market within the virtual power plant platform to obtain power market demand data of the virtual power plant platform;

[0092] The embodiment of the present invention uses a suitable forecasting algorithm (including time series analysis or machine learning model) to perform a forecast analysis on the power usage trend of the power market process inside and outside the virtual power plant platform to predict the power demand trend and changes in the power market in a specific time period in the future, and finally obtain the power market demand data of the virtual power plant platform.

[0093] Step S33: Based on the power supply data of the virtual power plant platform and the power demand data of the virtual power plant platform, an external power market within the virtual power plant platform is identified and analyzed to obtain the power market supply status data of the virtual power plant;

[0094] The embodiment of the present invention uses a supply status identification method to analyze the corresponding external power market in the virtual power plant platform by combining the analyzed power supply data of the virtual power plant platform and the power demand data of the virtual power plant platform, so as to compare the power supply and demand to determine the supply status of the power market, such as whether supply exceeds demand, supply is less than demand, or balance, and finally obtains the virtual power plant power market supply status data.

[0095] Step S34: performing supply trend statistical analysis on the virtual power plant power market supply status data to obtain virtual power plant power market supply change trend data;

[0096] The embodiment of the present invention uses a trend statistical analysis method to perform statistical analysis on the power market supply situation corresponding to the power market supply status data of a virtual power plant, so as to observe the supply changes over a period of time to reveal the trend, fluctuation range and change direction of power market supply changes, and finally obtain the virtual power plant power market supply change trend data.

[0097] Step S35: Based on the virtual power plant power market supply change trend data, an abnormal supply scheduling impact assessment analysis is performed on the external power market within the virtual power plant platform to obtain potential influencing factors of abnormal supply scheduling in the virtual power plant power market.

[0098] The embodiment of the present invention uses a curve drawing tool to draw a change curve for the virtual power plant power market supply change trend data obtained by analysis, with time as the horizontal axis and the power market supply change trend as the vertical axis, and represents the supply change trend at each time point in the form of points, and connects the drawn points to show the change of power supply over time, thereby generating a supply change curve. At the same time, by combining the supply change curve obtained by analysis to analyze and identify the abnormal mutation area on the curve, and map the analyzed abnormal situation occurrence area with the actual power market's geographical location to determine the specific supply area of ​​the abnormal situation in the power market, and then, by using the potential impact assessment algorithm to evaluate and analyze the corresponding abnormal supply area, so as to evaluate the influencing factors of different abnormal situations on the power market supply scheduling, including supply shortages, price fluctuations, scheduling delays, etc., and finally obtain the potential influencing factors of abnormal supply scheduling of the virtual power plant power market.

[0099] The present invention first monitors the power supply of the external power market in the virtual power plant platform, and can obtain the power supply data of the power market of the virtual power plant platform. The key to this step is that it can provide key market supply information, which is helpful to understand the supply situation of the power market and provide important data support for subsequent market operation analysis and decision-making. By monitoring the power supply, changes in the market supply situation can be discovered in time, providing a basis for real-time monitoring and adjustment for the operation and management of the virtual power plant. Secondly, by predicting the demand of the external power market in the virtual power plant platform, the demand data of the power market of the virtual power plant platform can be obtained. This analysis is beneficial to predicting the demand trend and changes in the market and providing a reference basis for the balance of supply and demand in the power market. By predicting the demand, resources can be better allocated to meet market demand and improve the operating efficiency and power supply quality of the market. Then, by identifying and analyzing the power market supply of the external power market in the virtual power plant platform based on the power supply data of the virtual power plant platform power market and the power market demand data of the virtual power plant platform, it is helpful to understand the supply and demand relationship and market supply status of the power market. This analysis can reveal the structure and characteristics of market supply and provide a reference basis for market regulation and optimization. By identifying the market supply status, the contradiction between supply and demand and potential problems in the market can be discovered in time, providing decision support for market dispatch and operation. Next, by conducting supply trend statistical analysis on the virtual power plant power market supply status data, the changing laws and trends of market supply can be revealed. This analysis helps to understand the dynamic changes in market supply and provide a reference for market dispatch and forecasting. By statistically analyzing the supply trend, the development direction and changing trend of the market can be discovered, providing decision support and risk management for power market participants. Finally, by conducting an abnormal supply dispatch impact assessment analysis on the external power market within the virtual power plant platform based on the virtual power plant power market supply change trend data, it is helpful to assess the impact of abnormal market supply on market operation and the virtual power plant platform. The degree and potential factors, this analysis can timely discover abnormal situations and potential risks in the power market, and provide early warning and response measures for the power dispatch and management of the virtual power plant platform. By evaluating the influencing factors of abnormal supply dispatch, the power market dispatch strategy can be optimized, thereby improving the operating efficiency and stability of the virtual power plant platform in the power market.

[0100] Preferably, step S35 includes the following steps:

[0101] Step S351: plotting a change curve for the virtual power plant power market supply change trend data to generate a virtual power plant power market supply change curve;

[0102] The embodiment of the present invention uses a curve drawing tool to draw a change curve of the virtual power plant power market supply change trend data obtained by analysis, with time as the horizontal axis and the power market supply change trend amount as the vertical axis, and the supply change trend at each time point is represented in the form of points. At the same time, the drawn points are connected to show the change of power supply over time, and finally a virtual power plant power market supply change curve is generated.

[0103] Step S352: Based on the virtual power plant power market supply change curve, an abnormal supply area positioning analysis is performed on the external power market within the virtual power plant platform to obtain the abnormal supply area of ​​the virtual power plant power market;

[0104] The embodiment of the present invention analyzes and identifies the abnormal mutation area on the curve by combining the virtual power plant power market supply change curve obtained by analysis, and performs geographic spatial mapping processing on the external power market within the virtual power plant platform, so as to map the abnormal situation occurrence area obtained by analysis with the geographical location of the actual power market, and further understand the impact and spread of the abnormal situation, and at the same time determine the specific supply area of ​​the abnormal situation in the power market, so as to help better understand and manage the supply anomalies in the virtual power plant power market, and finally obtain the abnormal supply area of ​​the virtual power plant power market.

[0105] Step S353: performing supply dispatch correlation analysis on the abnormal supply area of ​​the virtual power plant power market to obtain abnormal supply dispatch correlation relationship of the virtual power plant power market;

[0106] The embodiment of the present invention uses an associated evaluation analysis method to analyze the identified abnormal supply area of ​​the virtual power plant power market and the supply scheduling of the power market in the area, so as to analyze the association between the abnormal supply area and the supply scheduling of the power market, that is, the impact of the abnormal supply area on the supply scheduling, and check whether the abnormal supply area is associated with a specific supply scheduling strategy, market rules or other factors, and finally obtain the abnormal supply scheduling association relationship of the virtual power plant power market.

[0107] Step S354: Based on the abnormal supply dispatch correlation relationship of the virtual power plant power market, abnormal supply dispatch impact pattern analysis is performed on the abnormal supply area of ​​the virtual power plant power market to obtain abnormal supply dispatch impact pattern data of the virtual power plant power market;

[0108] The embodiment of the present invention uses an impact pattern analysis method to analyze the corresponding abnormal supply area of ​​the virtual power plant power market by combining the abnormal supply and dispatch correlation relationship of the virtual power plant power market obtained by analysis, so as to further understand the impact pattern of the abnormal supply area on the supply dispatch, that is, different abnormal situations have different degrees of impact on different supply dispatches, and finally obtain the abnormal supply dispatch impact pattern data of the virtual power plant power market.

[0109] Step S355: Conduct potential impact assessment and analysis on the abnormal supply area of ​​the virtual power plant power market based on the abnormal supply and dispatch impact model data of the virtual power plant power market, and obtain potential impact factors of the abnormal supply and dispatch of the virtual power plant power market.

[0110] The embodiment of the present invention uses a potential impact assessment algorithm to evaluate and analyze the corresponding virtual power plant power market abnormal supply scheduling impact pattern data obtained by combining the analysis, so as to evaluate the impact factors of different abnormal situations on the power market supply scheduling, including supply shortages, price fluctuations, scheduling delays, etc., and finally obtain the potential impact factors of abnormal supply scheduling of the virtual power plant power market.

[0111] The present invention first draws a curve of the change of the supply trend data of the power market of the virtual power plant, and can draw a curve of the change of the power market supply. This curve can show the change of the power supply over time, and provide basic data for subsequent analysis. Through this step, the power supply of the virtual power plant platform in different time periods can be better understood, so as to provide a basis for subsequent abnormal analysis and power operation scheduling. Secondly, by locating and analyzing the abnormal supply area of ​​the external power market in the virtual power plant platform based on the supply change curve of the power market of the virtual power plant, the purpose of this step is to find out the area with abnormal supply in the power market, especially the supply fluctuation caused by some special circumstances or emergencies. By analyzing the abnormal supply area, measures can be taken in time to adjust and deal with it to ensure the stable operation of the power market. Then, by performing supply scheduling association analysis on the abnormal supply area of ​​the power market of the virtual power plant, this step aims to analyze the association between the abnormal supply area and the supply scheduling, that is, the impact that the abnormal supply area may have on the supply scheduling. By understanding this association, the supply scheduling can be adjusted and optimized in a targeted manner to deal with abnormal situations, thereby ensuring the normal operation of the virtual power plant platform in the power market. Next, by analyzing the impact pattern of abnormal supply dispatch in the abnormal supply area of ​​the virtual power plant power market based on the abnormal supply dispatch correlation of the virtual power plant power market, the purpose of this step is to further understand the impact pattern of abnormal supply area on supply dispatch, that is, different abnormal situations may have different impacts on supply dispatch. The abnormal supply dispatch impact pattern data obtained can provide more accurate basis and guidance for subsequent response measures. Finally, by conducting a potential impact assessment analysis on the abnormal supply area of ​​the virtual power plant power market based on the abnormal supply dispatch impact pattern data of the virtual power plant power market, this step aims to assess the degree of impact of different abnormal situations on the power market and determine potential influencing factors. Based on the results obtained from the evaluation and analysis, corresponding plans and measures can be formulated to minimize the impact of abnormal situations on the power market, thereby ensuring the stability and reliability of subsequent power operation and maintenance supply.

[0112] Preferably, step S352 includes the following steps:

[0113] Conduct supply fluctuation analysis on the virtual power plant power market supply change curve to obtain virtual power plant power market supply fluctuation data;

[0114] The embodiment of the present invention calculates the slope of each point on the virtual power plant power market supply change curve or the standard deviation of the fluctuation by using a mathematical statistical analysis method to quantify the fluctuation amplitude on the supply change curve, so as to help understand the stability of the power market supply, and further analyze the fluctuation of the power market, and finally obtain the virtual power plant power market supply fluctuation amplitude data.

[0115] Preferably, the virtual power plant power market supply fluctuation frequency data is obtained through the virtual power plant power market supply change curve, and the virtual power plant power market supply fluctuation frequency data is subjected to fluctuation frequency statistical analysis to obtain the virtual power plant power market supply fluctuation frequency data;

[0116] The embodiment of the present invention determines the frequency of supply fluctuations on the virtual power plant power market supply change curve by a statistical analysis method, thereby obtaining the virtual power plant power market supply fluctuation frequency data. Then, the frequency statistical calculation method is used to perform frequency analysis on the virtual power plant power market supply fluctuation frequency data obtained by analysis, so as to quantitatively analyze the frequency of power market supply fluctuations in the virtual power plant, that is, the frequency of changes in power market supply, and finally obtain the virtual power plant power market supply fluctuation frequency data.

[0117] Preferably, based on the virtual power plant power market supply fluctuation amplitude data and the virtual power plant power market supply fluctuation frequency data, the virtual power plant power market supply change curve is subjected to abnormal mutation point identification analysis to obtain the abnormal mutation point of the virtual power plant power market supply curve;

[0118] The embodiment of the present invention uses an abnormal mutation identification method to identify and analyze abnormal mutation points of the virtual power plant power market supply change curve by combining the virtual power plant power market supply fluctuation amplitude data and the virtual power plant power market supply fluctuation frequency data obtained by analysis, so as to detect abnormal fluctuation points appearing in the supply change curve, that is, to identify and mark points that are beyond the normal fluctuation range, and finally obtain the abnormal mutation points of the virtual power plant power market supply curve.

[0119] Preferably, based on the abnormal mutation point of the virtual power plant power market supply curve, the virtual power plant power market supply change curve is connected in forward and backward approximation regions to obtain the virtual power plant power market supply abnormal mutation curve region; based on the virtual power plant power market supply abnormal mutation curve region, the external power market in the virtual power plant platform is mapped and analyzed in geographic space to obtain the abnormal geographic region mapping position of the virtual power plant power market;

[0120] The embodiment of the present invention performs statistical calculations on the distance between the abnormal mutation points of the virtual power plant power market supply curve obtained by combining the analysis and the abnormal mutation points adjacent to the abnormal mutation points before and after the virtual power plant power market supply change curve, so as to quantify the distance between the abnormal mutation points of the virtual power plant power market supply curve and the abnormal mutation points around it, and connects the abnormal mutation points with close distances detected to form an abnormal mutation curve area, that is, the specific range of the abnormal situation in time and space, so as to obtain the abnormal mutation curve area of ​​the virtual power plant power market supply. Then, the abnormal mutation curve area of ​​the virtual power plant power market supply obtained by the analysis is used to map the external power market within the virtual power plant platform in geographic space, so as to map the occurrence area of ​​the abnormal situation with the geographical location, and further understand the scope of influence and diffusion of the abnormal situation, so as to perform positioning analysis in the external power market within the virtual power plant platform, and finally obtain the abnormal geographical area mapping position of the virtual power plant power market.

[0121] Preferably, based on the abnormal geographical area mapping position of the virtual power plant power market, an abnormal supply area positioning analysis is performed on the external power market within the virtual power plant platform to obtain the abnormal supply area of ​​the virtual power plant power market.

[0122] The embodiment of the present invention matches and locates the abnormal supply area of ​​the corresponding external power market in the virtual power plant platform by combining the abnormal geographical area mapping position of the virtual power plant power market obtained by analysis, so as to determine the specific supply area of ​​the abnormal situation in the power market, and help to better understand and manage the abnormal supply situation in the virtual power plant power market, and finally obtain the abnormal supply area of ​​the virtual power plant power market.

[0123] The present invention first determines the amplitude of supply fluctuations by analyzing the supply fluctuation amplitude of the virtual power plant power market supply change curve. The purpose of this step is to quantify the size of supply fluctuations, so as to help understand the stability of power market supply. Through the obtained virtual power plant power market supply fluctuation amplitude data, the fluctuation of the power market can be further analyzed to provide a basis for subsequent abnormal detection and scheduling. Secondly, the virtual power plant power market supply fluctuation frequency data is obtained through the virtual power plant power market supply change curve, and the virtual power plant power market supply fluctuation frequency data is subjected to fluctuation frequency statistical analysis. The purpose of this step is to understand the frequency of supply fluctuations, that is, the frequency of changes in power market supply. Through the obtained virtual power plant power market supply fluctuation frequency data, the volatility of the power market can be better evaluated to provide a basis for subsequent abnormal detection and scheduling. Then, by identifying and analyzing the abnormal mutation points of the virtual power plant power market supply change curve based on the virtual power plant power market supply fluctuation amplitude data and the virtual power plant power market supply fluctuation frequency data, the purpose of this step is to find out the points where the power market supply curve suddenly changes, especially the abnormal situations caused by emergencies or other factors. By identifying the abnormal mutation points, timely measures can be taken to adjust and deal with them to maintain the stable operation of the power market. At the same time, by connecting the virtual power plant power market supply change curve with the forward and backward approximation areas based on the abnormal mutation points of the virtual power plant power market supply curve, the purpose of this step is to determine the abnormal mutation curve area according to the forward and backward approximation of the corresponding abnormal mutation points, that is, the specific range of the abnormal situation in time and space. Through the obtained abnormal mutation curve area, the abnormal situation can be more accurately located, thereby providing a basis for subsequent abnormal analysis and countermeasures. Next, the external power market in the virtual power plant platform is mapped and analyzed based on the abnormal supply curve area of ​​the virtual power plant power market. The purpose of this step is to map the abnormal situation with the geographical location, so as to better understand the geographical distribution characteristics of the abnormal situation. Through the abnormal geographical area mapping location, we can further understand the impact range and diffusion of the abnormal situation, so as to provide a reference for the subsequent positioning and processing steps. Finally, the external power market in the virtual power plant platform is analyzed based on the abnormal geographical area mapping location of the virtual power plant power market. The purpose of this step is to determine the specific supply area of ​​the abnormal situation in the power market, so as to take better targeted countermeasures. Through the abnormal supply area obtained, the supply strategy can be adjusted in time to ensure the stable operation of the power market in the virtual power plant platform.

[0124] Preferably, step S4 comprises the following steps:

[0125] Step S41: dynamically responding to the power load supply of the virtual power plant platform according to the power dispatch influencing factor of the power load demand of the virtual power plant equipment, and obtaining a dynamic response instruction for the power load supply of the virtual power plant;

[0126] The embodiment of the present invention uses the evaluated virtual power plant equipment power load demand power dispatching influencing factors to dynamically respond to the load supply of the corresponding power equipment in the virtual power plant platform, so as to timely adjust the power supply of the power equipment in the virtual power plant platform under the power load state according to the influencing factors of the actual power load demand situation, and generate corresponding dynamic response instructions, and finally obtain the virtual power plant power load supply dynamic response instructions.

[0127] Step S42: dynamically responding to abnormal market supply on the virtual power plant platform according to the potential influencing factors of abnormal supply dispatch of the virtual power plant power market, and obtaining a dynamic response instruction for abnormal fluctuation supply of the virtual power plant power market;

[0128] The embodiment of the present invention uses the evaluated potential influencing factors of abnormal supply scheduling of the virtual power plant power market to dynamically respond to the abnormal fluctuation supply of the corresponding power market aspects in the virtual power plant platform, so as to adjust the power supply of power equipment in the virtual power plant platform under the abnormal fluctuation state of the power market according to the monitored power market changes and abnormal conditions, and generate corresponding dynamic response instructions, and finally obtain the dynamic response instructions of abnormal fluctuation supply of the virtual power plant power market.

[0129] Step S43: performing power operation and maintenance strategy analysis on the virtual power plant platform according to the virtual power plant power load supply dynamic response instruction and the virtual power plant power market abnormal fluctuation supply dynamic response instruction to generate a virtual power plant power operation and maintenance strategy solution;

[0130] The embodiment of the present invention performs power operation and maintenance strategy generation analysis on the corresponding power equipment in the virtual power plant platform by comprehensively considering the virtual power plant power load supply dynamic response instructions and the virtual power plant power market abnormal fluctuation supply dynamic response instructions generated by the response, so as to formulate a power operation and maintenance strategy plan suitable for the current situation by comprehensively considering the load demand and market fluctuations to determine the response priority and scheduling strategy, and at the same time effectively manage the power supply of the corresponding power equipment, and ensure the stable and reliable operation of the power market in the virtual power plant platform, and finally generate the virtual power plant power operation and maintenance strategy plan.

[0131] Step S44: Perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management result.

[0132] The embodiment of the present invention uses the virtual power plant power operation and maintenance strategy solution generated by the previous analysis to perform corresponding operation and maintenance service management on the corresponding power equipment and power market in the virtual power plant platform, including dispatching power equipment, power resources, monitoring the operation of the power market, and responding to abnormal changes in a timely manner, so as to ensure the stability and reliability of the power supply of the virtual power plant platform, and finally obtain the virtual power plant power operation and maintenance service management results.

[0133] The present invention first responds dynamically to the power load supply of the virtual power plant platform according to the power dispatching influencing factors of the power load demand of the virtual power plant equipment. The purpose of this step is to adjust the power supply strategy according to the actual load demand situation and the influencing factors to ensure the normal operation of the equipment. Through the obtained virtual power plant power load supply dynamic response instruction, the power supply strategy of the power equipment in the virtual power plant platform under the power load state can be adjusted in time to ensure the stability and reliability of the equipment operation. Secondly, the virtual power plant platform is dynamically responded to the abnormal market supply according to the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market. The purpose of this step is to adjust the power supply strategy of the power equipment in the virtual power plant platform under the abnormal fluctuation state of the power market according to the abnormal situation of the power market to cope with the market supply fluctuation. Through the obtained virtual power plant power market abnormal fluctuation supply dynamic response instruction, the market supply strategy can be adjusted in time to ensure the stable operation of the power market in the virtual power plant platform. Then, the virtual power plant platform is analyzed for power operation and maintenance strategy according to the virtual power plant power load supply dynamic response instruction and the virtual power plant power market abnormal fluctuation supply dynamic response instruction. The purpose of this step is to comprehensively consider factors such as load demand and market fluctuations, and formulate a power operation and maintenance strategy plan suitable for the current situation. The generated virtual power plant power operation and maintenance strategy can effectively manage the power supply and ensure the stable and reliable operation of the power market within the virtual power plant platform. Finally, the virtual power plant platform is managed for operation and maintenance services according to the virtual power plant power operation and maintenance strategy. The purpose of this step is to implement specific operation and maintenance service management measures according to the formulated operation and maintenance strategy to ensure the stability and reliability of power supply. Through the obtained virtual power plant power operation and maintenance service management results, the effect of the operation and maintenance service can be evaluated, the strategy can be adjusted in time, and the normal operation of the virtual power plant platform can be ensured.

[0134] Preferably, the present invention further provides a power operation and maintenance system serving a virtual power plant, which is used to execute the power operation and maintenance method serving a virtual power plant as described above, and the power operation and maintenance system serving a virtual power plant comprises:

[0135] The virtual power plant power equipment load monitoring module is used to monitor the power operation of the virtual power plant platform and obtain the power operation status data of the virtual power plant; based on the power operation status data of the virtual power plant, the equipment load current and load vibration range of the virtual power plant platform are analyzed to obtain the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment;

[0136] The power equipment load demand dispatching impact assessment module is used to perform equipment power load identification and analysis based on the virtual power plant power equipment load current status data and the virtual power plant power equipment load vibration range data to obtain the virtual power plant power equipment load data; based on the virtual power plant power equipment load data, the load demand dispatching impact assessment and analysis is performed on the virtual power plant platform to obtain the virtual power plant equipment power load demand power dispatching impact factor;

[0137] The power market abnormal supply dispatch impact assessment module is used to monitor the power market supply of the virtual power plant platform and obtain the power market supply status data of the virtual power plant; based on the power market supply status data of the virtual power plant, the abnormal supply dispatch impact assessment analysis of the virtual power plant platform is performed to obtain the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market;

[0138] The virtual power plant power operation and maintenance service management module is used to analyze the power operation and maintenance strategy of the virtual power plant platform according to the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market, so as to generate a virtual power plant power operation and maintenance strategy plan; according to the virtual power plant power operation and maintenance strategy plan, the virtual power plant platform is managed and processed for operation and maintenance services, so as to obtain the power operation and maintenance service management results of the virtual power plant.

[0139] In summary, the present invention provides an electric power operation and maintenance system serving a virtual power plant, which consists of a virtual power plant power equipment load monitoring module, a power equipment load demand scheduling impact assessment module, a power market abnormal supply scheduling impact assessment module and a virtual power plant power operation and maintenance service management module. It can implement any one of the electric power operation and maintenance methods serving the virtual power plant described in the present invention, and is used to combine the operations between computer programs running on each module to implement an electric power operation and maintenance method serving the virtual power plant. The internal structures of the system cooperate with each other, which can greatly reduce duplication of work and manpower investment, and can quickly and effectively provide a more accurate and efficient electric power operation and maintenance process, thereby simplifying the operating procedures of the electric power operation and maintenance system serving the virtual power plant.

[0140] Therefore, the embodiments should be regarded as illustrative and non-restrictive from all points, and the scope of the present invention is limited by the appended claims rather than the above description, and it is therefore intended that all changes falling within the meaning and range of equivalent elements of the application documents are included in the present invention.

[0141] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features invented herein.

Claims

1. A power operation and maintenance method serving a virtual power plant, characterized in that: The following steps are involved: Step S1: Monitor the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant; analyze the equipment load current and load vibration range of the virtual power plant platform based on the power operation status data of the virtual power plant to obtain the load current status data of the power equipment of the virtual power plant and the load vibration range data of the power equipment of the virtual power plant; load current vibration measurement The specific calculation formula is: ； In the formula, is the time range parameter, The time point parameters for the vibration measurement value calculation, For at time point The load current at For at time point The load current variation range of the virtual power plant equipment at is the weight parameter affected by the load current variation amplitude, is the load current offset, For at time point The load current variation frequency of the virtual power plant equipment at is the load current change frequency affecting the weight parameter, is the coefficient of influence of the integration time step, and The vibration time sine wave influence amplitude parameter and the sine wave influence frequency parameter, It is the correction factor of the load current vibration measurement value of the power equipment in the virtual power plant; Step S2: performing equipment power load identification and analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment; Based on the power load data of the virtual power plant power equipment, the load demand dispatch impact assessment and analysis of the virtual power plant platform is carried out to obtain the power dispatch impact factor of the power load demand of the virtual power plant equipment; Step S3: monitoring the power market supply of the virtual power plant platform to obtain the power market supply status data of the virtual power plant; Based on the supply status data of the virtual power plant power market, the impact of abnormal supply scheduling on the virtual power plant platform is evaluated and analyzed, and the potential influencing factors of abnormal supply scheduling in the virtual power plant power market are obtained; Step S4: Conduct power operation and maintenance strategy analysis on the virtual power plant platform based on the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of abnormal supply dispatch of the virtual power plant power market to generate a virtual power plant power operation and maintenance strategy plan; perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management results.

2. The power operation and maintenance method serving a virtual power plant according to claim 1, characterized in that: Step S1 includes the following steps: Step S11: monitoring the power operation of the virtual power plant platform to obtain the power operation status data of the virtual power plant; Step S12: performing data denoising on the power operation status data of the virtual power plant to obtain denoised data of the power operation status of the virtual power plant; performing data smoothing on the denoised data of the power operation status of the virtual power plant to obtain smoothed data of the power operation status of the virtual power plant; Step S13: performing equipment operation status screening processing on the power equipment in the virtual power plant platform based on the virtual power plant power operation status smoothing data to obtain the virtual power plant power equipment operation status data; Step S14: performing load current monitoring processing on the power equipment in the virtual power plant platform based on the operation status data of the power equipment in the virtual power plant to obtain the load current status data of the power equipment in the virtual power plant; Step S15: performing load vibration range analysis on the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load vibration range data of the power equipment in the virtual power plant.

3. The power operation and maintenance method serving a virtual power plant according to claim 2, characterized in that: Step S15 includes the following steps: Step S151: analyzing the load current changes of the power equipment in the virtual power plant platform according to the load current status data of the power equipment in the virtual power plant to obtain the load current change data of the power equipment in the virtual power plant; Step S152: performing a statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change range of the virtual power plant equipment; Step S153: performing a frequency statistical analysis on the load current change data of the virtual power plant power equipment to obtain the load current change frequency of the virtual power plant equipment; Step S154: based on the load current variation amplitude and the load current variation frequency of the virtual power plant equipment, a vibration measurement value is calculated for the load current variation data of the virtual power plant equipment using a load current vibration measurement calculation formula to obtain a load current vibration measurement value of the virtual power plant equipment; Step S155: Based on the load current vibration measurement value of the virtual power plant power equipment, load vibration range analysis is performed on the power equipment in the virtual power plant platform to obtain load vibration range data of the virtual power plant power equipment.

4. The power operation and maintenance method serving a virtual power plant according to claim 1, characterized in that: Step S2 includes the following steps: Step S21: performing equipment power load identification analysis based on the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment to obtain the power load data of the virtual power plant power equipment; Step S22: Performing power load demand analysis on the power load data of the power equipment of the virtual power plant to obtain the load demand data of the power equipment of the virtual power plant; Step S23: Performing power dispatch impact correlation analysis on the load demand data of the power equipment in the virtual power plant to obtain the impact correlation relationship of the load dispatch of the power equipment in the virtual power plant; Step S24: Based on the impact relationship of load dispatch of power equipment in the virtual power plant, load demand dispatch impact assessment and analysis is performed on the power equipment in the virtual power plant platform to obtain the power dispatch impact factor of the power load demand of the virtual power plant equipment.

5. The power operation and maintenance method serving a virtual power plant according to claim 1, characterized in that: Step S3 includes the following steps: Step S31: monitoring the power supply of the external power market within the virtual power plant platform to obtain power supply data of the power market of the virtual power plant platform; Step S32: performing demand forecasting and analysis on the external power market within the virtual power plant platform to obtain power market demand data of the virtual power plant platform; Step S33: Based on the power supply data of the virtual power plant platform and the power demand data of the virtual power plant platform, an external power market within the virtual power plant platform is identified and analyzed to obtain the power market supply status data of the virtual power plant; Step S34: performing supply trend statistical analysis on the virtual power plant power market supply status data to obtain virtual power plant power market supply change trend data; Step S35: Based on the virtual power plant power market supply change trend data, an abnormal supply scheduling impact assessment analysis is performed on the external power market within the virtual power plant platform to obtain potential influencing factors of abnormal supply scheduling in the virtual power plant power market.

6. The power operation and maintenance method serving a virtual power plant according to claim 5, characterized in that: Step S35 includes the following steps: Step S351: plotting a change curve for the virtual power plant power market supply change trend data to generate a virtual power plant power market supply change curve; Step S352: Based on the virtual power plant power market supply change curve, an abnormal supply area positioning analysis is performed on the external power market within the virtual power plant platform to obtain the abnormal supply area of ​​the virtual power plant power market; Step S353: performing supply dispatch correlation analysis on the abnormal supply area of ​​the virtual power plant power market to obtain abnormal supply dispatch correlation relationship of the virtual power plant power market; Step S354: Based on the abnormal supply dispatch correlation relationship of the virtual power plant power market, abnormal supply dispatch impact pattern analysis is performed on the abnormal supply area of ​​the virtual power plant power market to obtain abnormal supply dispatch impact pattern data of the virtual power plant power market; Step S355: Conduct potential impact assessment and analysis on the abnormal supply area of ​​the virtual power plant power market based on the abnormal supply and dispatch impact model data of the virtual power plant power market, and obtain potential impact factors of the abnormal supply and dispatch of the virtual power plant power market.

7. The power operation and maintenance method serving a virtual power plant according to claim 6, characterized in that: Step S352 includes the following steps: Conduct supply fluctuation analysis on the virtual power plant power market supply change curve to obtain virtual power plant power market supply fluctuation data; The virtual power plant power market supply fluctuation frequency data is obtained through the virtual power plant power market supply change curve, and the virtual power plant power market supply fluctuation frequency data is subjected to fluctuation frequency statistical analysis to obtain the virtual power plant power market supply fluctuation frequency data; Based on the virtual power plant power market supply fluctuation amplitude data and virtual power plant power market supply fluctuation frequency data, the virtual power plant power market supply change curve is analyzed to identify the abnormal mutation points, and the virtual power plant power market supply curve abnormal mutation points are obtained; Based on the abnormal mutation point of the virtual power plant power market supply curve, the virtual power plant power market supply change curve is connected in forward and backward approximation regions to obtain the virtual power plant power market supply abnormal mutation curve area; based on the virtual power plant power market supply abnormal mutation curve area, the external power market in the virtual power plant platform is mapped and analyzed in geographic space to obtain the abnormal geographic area mapping position of the virtual power plant power market; Based on the abnormal geographical area mapping location of the virtual power plant power market, the abnormal supply area positioning analysis of the external power market within the virtual power plant platform is carried out to obtain the abnormal supply area of ​​the virtual power plant power market.

8. The power operation and maintenance method serving a virtual power plant according to claim 1, characterized in that: Step S4 includes the following steps: Step S41: dynamically responding to the power load supply of the virtual power plant platform according to the power dispatch influencing factor of the power load demand of the virtual power plant equipment, and obtaining a dynamic response instruction for the power load supply of the virtual power plant; Step S42: dynamically responding to abnormal market supply on the virtual power plant platform according to the potential influencing factors of abnormal supply dispatch of the virtual power plant power market, and obtaining a dynamic response instruction for abnormal fluctuation supply of the virtual power plant power market; Step S43: performing power operation and maintenance strategy analysis on the virtual power plant platform according to the virtual power plant power load supply dynamic response instruction and the virtual power plant power market abnormal fluctuation supply dynamic response instruction to generate a virtual power plant power operation and maintenance strategy solution; Step S44: Perform operation and maintenance service management processing on the virtual power plant platform according to the virtual power plant power operation and maintenance strategy plan to obtain the virtual power plant power operation and maintenance service management result.

9. An electric power operation and maintenance system serving a virtual power plant, characterized in that: For executing the power operation and maintenance method serving a virtual power plant as claimed in claim 1, the power operation and maintenance system serving a virtual power plant comprises: The virtual power plant power equipment load monitoring module is used to monitor the power operation of the virtual power plant platform and obtain the power operation status data of the virtual power plant; based on the power operation status data of the virtual power plant, the equipment load current and load vibration range of the virtual power plant platform are analyzed to obtain the load current status data of the virtual power plant power equipment and the load vibration range data of the virtual power plant power equipment; The power equipment load demand dispatching impact assessment module is used to perform equipment power load identification and analysis based on the virtual power plant power equipment load current status data and the virtual power plant power equipment load vibration range data to obtain the virtual power plant power equipment load data; based on the virtual power plant power equipment load data, the load demand dispatching impact assessment and analysis is performed on the virtual power plant platform to obtain the virtual power plant equipment power load demand power dispatching impact factor; The power market abnormal supply dispatch impact assessment module is used to monitor the power market supply of the virtual power plant platform and obtain the power market supply status data of the virtual power plant; based on the power market supply status data of the virtual power plant, the abnormal supply dispatch impact assessment analysis of the virtual power plant platform is performed to obtain the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market; The virtual power plant power operation and maintenance service management module is used to analyze the power operation and maintenance strategy of the virtual power plant platform according to the power dispatch influencing factors of the power load demand of the virtual power plant equipment and the potential influencing factors of the abnormal supply dispatch of the virtual power plant power market, so as to generate a virtual power plant power operation and maintenance strategy plan; according to the virtual power plant power operation and maintenance strategy plan, the virtual power plant platform is managed and processed for operation and maintenance services, so as to obtain the power operation and maintenance service management results of the virtual power plant.

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