A digital twin driven power grid load transfer control method and device

Abstract

The present invention discloses a method and device for controlling load transfer of power grid driven by digital twin, which relates to the field of power system and automation technology thereof. The method comprises: analyzing the characteristics of load transfer demand of target power grid, searching for cooperative transfer power grid; collecting physical distribution and operation data of target power grid and cooperative transfer power grid, building a power grid twin model that can reflect the actual operation status based on digital twin technology; establishing a data sharing mechanism to connect the two models; obtaining predicted load; making overload judgment on predicted load of target power grid, taking overload load as the target, optimizing load transfer strategy according to predicted load of cooperative transfer power grid, and obtaining control strategy to realize overload load transfer. The method solves the technical problems in the prior art that there is a lack of detailed analysis of power grid load, load transfer cannot be carried out in time, and the operation status of power grid is affected, and the technical effect of improving the operation performance and economic and social benefits of power grid is achieved.

Description

Technical Field

[0001] The present application relates to the field of power systems and automation technologies, and in particular to a digital twin-driven power grid load transfer control method and device. Background Art

[0002] In the scenario of power grid load transfer control, the problem of stable operation during the peak period of power grid load change is particularly prominent, and the contradiction between ensuring a good power grid operation status is relatively more prominent. Efficient and accurate power grid load transfer has become a crucial link in solving the problem of reliable power grid operation. Traditional power grid load transfer control is often extensive and localized, relying only on limited monitoring methods and rough load forecasts. It has insufficient control over the overall operation status of the power grid, lacks in-depth analysis and utilization of power grid operation data, and is difficult to fully and accurately evaluate the real-time operation status of the power grid. There are unreasonable situations in load transfer decisions, resulting in overload in some areas and idle resources in some areas. The formulation of load transfer plans is relatively simple and fixed, and cannot cope well with the actual load conditions of the power grid that are constantly changing.

[0003] At present, relevant technologies lack detailed analysis of power grid load, which leads to the inability to accurately grasp the real-time changes and distribution characteristics of load, and the inability to transfer load in time, thus affecting the technical problem of the operation status of the power grid. Summary of the invention

[0004] The present application provides a digital twin-driven power grid load transfer control method and device, which analyzes the load transfer demand characteristics of the target power grid and searches for collaborative transfer power grids; collects the physical distribution and operation data of the target power grid and the collaborative transfer power grid, and constructs a power grid twin model that can reflect the actual operation status based on the digital twin technology; establishes a data sharing mechanism to connect the two models; predicts the operation status of each power grid based on model analysis to obtain the predicted load; makes an overload judgment on the predicted load of the target power grid, takes the overload load as the target, optimizes the load transfer strategy according to the predicted load of the collaborative transfer power grid, obtains the control strategy to realize the overload load transfer, and realizes efficient and stable load transfer by accurately analyzing the power grid load, thereby achieving the technical effect of improving the operation performance and economic and social benefits of the power grid.

[0005] The present application provides a digital twin-driven power grid load transfer control method, comprising:

[0006] Analyze the load transfer demand characteristics of the target power grid, and search for a collaborative transfer power grid based on the load transfer demand characteristics; collect the physical distribution and operation data of the power grid according to the target power grid and the collaborative transfer power grid, and build a power grid twin model based on the digital twin technology, and the power grid twin model can reflect the actual operation status of the power grid; establish a data sharing mechanism to connect the power grid twin model of the target power grid and the power grid twin model of the collaborative transfer power grid; analyze and predict the operation status of each power grid based on the power grid twin model to obtain the predicted load of the target power grid and the predicted load of the collaborative transfer power grid; make an overload judgment on the predicted load of the target power grid, take the overload load as the target, optimize the load transfer strategy according to the predicted load of the collaborative transfer power grid, and obtain the load transfer control strategy, and the load transfer control strategy is used to control the overload load to transfer to the target collaborative power grid.

[0007] The present application also provides a digital twin-driven power grid load transfer control device, comprising:

[0008] A demand feature analysis module, the demand feature analysis module is used to analyze the load transfer demand characteristics of the target power grid, and search for a collaborative transfer power grid based on the load transfer demand characteristics; a data acquisition module, the data acquisition module is used to collect the physical distribution and operation data of the power grid according to the target power grid and the collaborative transfer power grid, and construct a power grid twin model based on the digital twin technology, and the power grid twin model can reflect the actual operation status of the power grid; a sharing mechanism establishment module, the sharing mechanism establishment module is used to establish a data sharing mechanism, connect the power grid twin model of the target power grid and the power grid twin model of the collaborative transfer power grid; an analysis and prediction module, the analysis and prediction module is used to analyze and predict the operation status of each power grid based on the power grid twin model, and obtain the target power grid predicted load and the collaborative transfer power grid predicted load; an overload judgment module, the overload judgment module is used to make an overload judgment on the predicted load of the target power grid, take the overload load as the target, optimize the load transfer strategy according to the predicted load of the collaborative transfer power grid, and obtain the load transfer control strategy, and the load transfer control strategy is used to control the overload load to transfer to the target collaborative power grid.

[0009] The digital twin-driven power grid load transfer control method and device proposed in this application first analyzes the load transfer demand characteristics of the target power grid and searches for collaborative transfer power grids; collects the physical distribution and operation data of the target power grid and the collaborative transfer power grid, and builds a power grid twin model that can reflect the actual operating status based on digital twin technology; establishes a data sharing mechanism to connect the two models; predicts the operating status of each power grid based on model analysis to obtain predicted load; makes an overload judgment on the predicted load of the target power grid, takes the overload load as the target, optimizes the load transfer strategy according to the predicted load of the collaborative transfer power grid, obtains the control strategy to realize overload load transfer, and realizes efficient and stable load transfer by accurately analyzing the power grid load, thereby achieving the technical effect of improving the operating performance and economic and social benefits of the power grid. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solution of the embodiment of the present invention, the accompanying drawings of the embodiment of the present invention will be briefly introduced below. A flow chart is used in the present application to illustrate the operations performed by the device according to the embodiment of the present application. It should be understood that the previous or following operations are not necessarily performed precisely in order. On the contrary, various steps can be processed in reverse order or simultaneously as needed. At the same time, other operations can also be added to these processes, or one or more operations can be removed from these processes.

[0011] Figure 1 A schematic flow chart of a digital twin-driven power grid load transfer control method provided in an embodiment of the present application;

[0012] Figure 2 A schematic structural diagram of a digital twin-driven power grid load transfer control device provided in an embodiment of the present application.

[0013] Explanation of the reference numerals: demand characteristic analysis module 10 , data collection module 20 , sharing mechanism establishment module 30 , analysis and prediction module 40 , overload determination module 50 . DETAILED DESCRIPTION

[0014] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below.

[0015] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present application. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of this application.

[0016] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict, and the terms "first\second" involved are merely to distinguish similar objects and do not represent a specific ordering of objects. The terms "including" and "having" and any variations are intended to cover non-exclusive inclusions, for example, a process, method, device, product, or server that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or modules that are not clearly listed or inherent to these processes, methods, products, or devices. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of this application. The terms used herein are for the purpose of describing the embodiments of the present application only.

[0017] The present application embodiment provides a digital twin driven power grid load transfer control method, such as Figure 1 As shown, the method includes:

[0018] Step S100, analyze the characteristics of the load transfer demand of the target power grid, and search for a coordinated transfer power grid based on the characteristics of the load transfer demand. Specifically, the analysis of the characteristics of the load transfer demand of the target power grid refers to analyzing and refining the load transfer requirements of the target power grid under different scenarios, selecting the target power grid to be studied, collecting its operating data, including historical load changes, power grid equipment status, economic development plans in the region, etc., setting demand analysis parameters, such as planned operation and maintenance time, power grid stability requirements, maximum tolerable load, etc., carrying out demand analysis work, obtaining steady-state transfer demand characteristic record data, steady-state transfer demand characteristic record data represents the load transfer demand generated according to the planned operation and maintenance arrangement of the target power grid, continuing in-depth analysis, obtaining dynamic transfer demand characteristic record data, dynamic transfer demand characteristic record data represents the load transfer demand caused by emergencies or abnormal events, and starting to search for a coordinated transfer power grid based on the above-mentioned load transfer demand characteristics.

[0019] In one possible implementation, the characteristics of the load transfer demand of the target power grid are analyzed, and the coordinated transfer power grid is searched based on the characteristics of the load transfer demand. Step S100 further includes step S110, obtaining the steady-state transfer demand, and the steady-state transfer demand is the load transfer demand corresponding to the planned operation and maintenance time of the target power grid. Specifically, information related to the operation and maintenance plan of the target power grid is collected, such as understanding the specific time of the scheduled regular maintenance, expansion and transformation of the power grid equipment. The planned operation and maintenance time clarifies the time period when load transfer may be required. Through careful study and analysis of the plan, the load transfer demand generated during these specific times to ensure the normal operation and maintenance of the power grid is determined. The steady-state transfer demand is predictable and regular. For example, if it is planned to upgrade and transform the substation in a certain area during a certain time period, then during this period, there will be a demand to transfer the load in this area.

[0020] Step S120, based on the historical abnormal supply cases of the target power grid, abnormal supply status analysis is performed to determine the dynamic transfer demand. Specifically, the abnormal supply conditions that occurred in the target power grid in the past are analyzed, and historical records are consulted to find out cases of power supply abnormalities such as line damage caused by natural disasters and sudden equipment failures. The load changes, impact range and duration in the cases are analyzed, so as to summarize the abnormal supply patterns that may occur again, so as to determine the dynamic transfer demand under abnormal conditions. For example, a certain area has had some transmission lines tripped due to heavy rain, causing power outages in some areas. Based on this case, the load transfer demand in the event of similar disasters in the future can be estimated.

[0021] Step S130, respectively analyze the demand quantity, demand continuity, and transfer demand type characteristics of the steady-state transfer demand and the dynamic transfer demand to obtain the load transfer demand characteristics. Specifically, for the determined steady-state transfer demand and dynamic transfer demand, the characteristic analysis is respectively performed. In terms of demand quantity, the load size required for each transfer is accurately calculated. For demand continuity, it is determined whether it is intermittent supply or continuous supply. In terms of transfer demand type, it is clear whether the load transfer is caused by demand imbalance, overload, or cost optimization. Through comprehensive analysis, a complete and accurate load transfer demand characteristic is finally obtained. For example, for a certain steady-state transfer demand, it is determined through analysis that its demand quantity is a specific value, the demand continuity is continuous supply, and the transfer demand type is cost optimization for equipment maintenance.

[0022] In one possible implementation, the load transfer demand characteristics of the target power grid are analyzed, and a collaborative transfer power grid is searched based on the load transfer demand characteristics. Step S100 further includes step S140, obtaining the geographical distribution and technical standards of the target power grid, and configuring search constraints based on the geographical distribution and technical standards in combination with the load transfer demand characteristics. The search constraints include transmission paths, power grid capacity, power grid state stability, and technical standard compatibility. Specifically, the geographical distribution of the target power grid is obtained, such as the coverage area on the map, the connection direction with other power grids, etc. At the same time, the technical standards followed by the target power grid are accurately grasped, such as specific voltage levels, frequency specifications, etc. The obtained geographical distribution and technical standard information are integrated with the load transfer demand characteristics obtained from the previous analysis. Based on comprehensive considerations, the search constraints are configured. On the transmission path, it is required to plan short and low-loss lines to ensure efficient transmission of electric energy. For the power grid capacity, it is stipulated that the selected power grid must have sufficient capacity to accommodate the load to be transferred by the target power grid. In terms of power grid state stability, the selected power grid must be able to operate stably when taking over the load transfer without failures or fluctuations. In terms of technical standard compatibility, it is ensured that the power grid for coordinated transfer and the target power grid can match each other in various technical parameters to achieve smooth collaborative work.

[0023] Step S150, using the search constraint as an index to search the power grid, and obtaining the collaborative transfer power grid, the collaborative transfer power grid is a cooperative power grid that meets the search constraint and authorizes load transfer control, and the collaborative transfer power grid includes multiple. Specifically, the search constraint is configured as a key index basis, and the search technology and power grid database are used to conduct a comprehensive search of all possible power grids. After screening, those power grids that fully meet all constraints such as transmission path, power grid capacity, power grid state stability and technical standard compatibility are found. The selected power grid is the collaborative transfer power grid, which not only meets the above-mentioned strict requirements, but also has obtained legal authorization, can perform load transfer control, and is qualified to cooperate with the target power grid. Finally, it is found that more than one power grid meets the conditions, thereby obtaining multiple collaborative transfer power grids, which provides a wealth of choices and optimization space for subsequent load transfer work.

[0024] In a possible implementation, the search constraint is used as an index to search for a power grid, and the coordinated transfer power grid is obtained. The coordinated transfer power grid is a cooperative power grid that satisfies the search constraint and authorizes load transfer control. The coordinated transfer power grid includes multiple ones. Step S150 further includes step S151, according to the transmission channels between the target power grid and each coordinated transfer power grid, the transmission path characteristics are analyzed by the shortest path algorithm, the transmission distance and transmission loss are obtained, and a transmission label is generated. Specifically, the transmission channels between the target power grid and each coordinated transfer power grid are clarified, and the characteristics of these transmission channels are analyzed by the shortest path algorithm. Through the calculation of the algorithm, the transmission distance from the target power grid to each coordinated transfer power grid is obtained, and the power loss that may be generated in this transmission process is evaluated. Based on the calculated transmission distance and transmission loss and other data, a special transmission label is generated. For example, for a certain coordinated transfer power grid, the transmission distance is calculated to be 100 kilometers and the transmission loss is 5%, then the corresponding transmission label is generated.

[0025] Step S152, obtain the capacity and historical load of each coordinated transfer grid, evaluate the transfer capacity matching level, and generate a matching level label. Specifically, collect the capacity information of each coordinated transfer grid, that is, the maximum amount of electricity they can withstand and transmit, obtain the past load data of the grid, integrate the capacity and historical load, evaluate the capacity matching degree when the target grid transfers the load to the coordinated transfer grid, and generate a corresponding matching level label for each coordinated transfer grid based on the evaluation results. For example, if a coordinated transfer grid has a large capacity and a low historical load, it is evaluated as a high matching level and a corresponding label is generated.

[0026] Step S153, based on the historical operation data of each coordinated transfer power grid, an operation stability evaluation is performed, and a stability label is generated according to the stability evaluation result. Specifically, the past operation data of each coordinated transfer power grid is obtained, including the operation time, the number of faults, the voltage fluctuation, etc., and the operation stability of each coordinated transfer power grid is evaluated based on the historical operation data. According to the stability degree obtained by the evaluation, a corresponding stability label is generated for it. For example, if a coordinated transfer power grid has a stable historical operation and rarely fails, a high stability label is generated.

[0027] Step S154, generating a compatibility label according to the compatibility degree of the technical standards. Specifically, the technical standards of the target power grid and each coordinated transfer power grid are compared, including the compatibility of voltage level, frequency, communication protocol, etc., and a compatibility label is generated for each coordinated transfer power grid according to the degree of compatibility. For example, if the technical standards of the two are completely compatible, a high compatibility label is generated.

[0028] Step S155, the transmission label, matching level label, stability label, and compatibility label are integrated and added to the coordinated transfer grid to describe each coordinated transfer grid. Specifically, the transmission label, matching level label, stability label, and compatibility label generated for each coordinated transfer grid are summarized and integrated, and the integrated label set is added to the description information of the corresponding coordinated transfer grid, so as to form a comprehensive, accurate, and multi-dimensional description of each coordinated transfer grid, so as to facilitate more accurate analysis and decision-making in the future.

[0029] Step S200, according to the target power grid and the coordinated transfer power grid, respectively collect the physical distribution and operation data of the power grid, and build a power grid twin model based on the digital twin technology, and the power grid twin model can reflect the actual operation status of the power grid. Specifically, according to the target power grid and the coordinated transfer power grid, respectively collect the physical distribution and operation data of the power grid, and build a power grid twin model based on the digital twin technology, and the power grid twin model can reflect the actual operation status of the power grid. For the target power grid, collect its relevant information in detail, including the location, model, specification and other physical distribution data of various equipment in the power grid (such as transformers, transmission lines, etc.), and obtain operation data such as current, voltage, power, and electricity. For the collaborative transfer power grid, similar data collection work is also carried out, and the collected data is processed and analyzed using digital twin technology. Digital twin technology can present various elements and operating mechanisms in the physical power grid in a digital form, and construct a power grid twin model based on the processed and analyzed data. During the construction process, the connection relationship between power grid equipment, the direction and method of energy flow, etc. are accurately simulated. The final constructed power grid twin model can reflect the actual operating status of the power grid in real time. For example, when a device in the target power grid or collaborative transfer power grid has abnormal current or voltage fluctuations, the power grid twin model can synchronously present corresponding changes, thereby providing accurate and real-time basis for subsequent analysis and decision-making.

[0030] Step S300, establishing a data sharing mechanism to connect the power grid twin model of the target power grid and the power grid twin model of the collaborative transfer power grid. Specifically, a data sharing mechanism is established to connect the grid twin model of the target power grid and the grid twin model of the collaborative transfer power grid, clarify the goals and needs of data sharing, determine the type of data, frequency and security requirements to be shared, design the architecture and process of data sharing, including determining the method of data transmission, such as through a dedicated network channel, using a specific communication protocol, etc., formulate data access and authority management rules, clarify which personnel or systems can access which data, and under what conditions they can access and operate, build a technical platform for data sharing, configure the required hardware and software facilities, and ensure that data can be transmitted and stored stably and efficiently. After the technical platform is built, the grid twin model of the target power grid is connected to the grid twin model of the collaborative transfer power grid. It is necessary to establish a data interface between the two models to achieve seamless docking and interaction of data. For example, by setting specific interface parameters and data format conversion rules, the real-time operation data in the target power grid model can be accurately transmitted to the collaborative transfer power grid model, and the relevant data of the collaborative transfer power grid model can also be fed back to the target power grid model. During the entire connection process, continuous testing and optimization are carried out to ensure the accuracy, timeliness and security of data sharing. By monitoring the speed and integrity of data transmission and its impact on model operation, potential problems can be discovered and resolved in a timely manner.

[0031] Step S400: Analyze and predict the operation status of each power grid based on the power grid twin model to obtain the target power grid predicted load and the coordinated transfer power grid predicted load. Specifically, analyze and predict the operation status of each power grid based on the power grid twin model to obtain the target power grid predicted load and the coordinated transfer power grid predicted load, and obtain rich data information from the power grid twin models of the target power grid and the coordinated transfer power grid, including historical load data, timestamps, weather data, activity holiday information, etc., and conduct in-depth impact analysis on these acquired historical data to determine the degree of impact of different factors (such as weather, holidays, etc.) on the load. Based on the results of the impact analysis, filter out feature data that has a significant impact on load forecasting. For example, high temperature in a specific season may cause a significant increase in load, and commercial and residential electricity consumption patterns may change during holidays. These feature data will be focused on, and the filtered feature data will be used to construct a time series data training set. The training set will be used to train the load forecasting model, and the long short-term memory network (LSTM) will be used to build the model framework. LSTM can handle long-term dependencies in time series data very well and is suitable for load forecasting. The constructed model is trained by constructing a time series data training set. During the training process, the model parameters are continuously adjusted to improve the accuracy of the prediction. After the training is completed, the obtained load state prediction model is fitted to the corresponding twin models of the target power grid and the coordinated transfer power grid respectively. Based on the fitted model and real-time power grid data, the operating status of each power grid is analyzed and predicted to obtain the predicted load of the target power grid and the predicted load of the coordinated transfer power grid. For example, through analysis and prediction, it is concluded that the predicted load of the target power grid in a certain time period in the future is X megawatts, and the predicted load of a certain coordinated transfer power grid in the same time period is Y megawatts.

[0032] In a possible implementation, the operation status of each power grid is analyzed and predicted based on the power grid twin model to obtain the predicted load of the target power grid and the predicted load of the coordinated transfer power grid. Step S400 further includes step S410, respectively collecting the historical record database of the target power grid and the coordinated transfer power grid, and the historical record database includes historical load data, timestamp, weather data, and activity holiday information. Specifically, for the target power grid and the coordinated transfer power grid, the collection of historical record databases is carried out respectively. For the target power grid, the historical load data covering different time periods are obtained through its data storage system and monitoring equipment. These data record the power load at each moment, collect the corresponding timestamp information, clarify the specific time point when the load data is generated, obtain weather data related to the target power grid area from the meteorological department or the relevant weather monitoring system, such as temperature, humidity, wind speed, etc., because weather conditions will affect the power load, and obtain activity holiday information, such as statutory holidays, major event days, etc. These special days often lead to changes in power consumption patterns. For the coordinated transfer power grid, the same type of historical data is collected in the same way.

[0033] Step S420, perform data impact analysis on the historical record database, filter feature data based on impact, and construct a time series data training set. Specifically, conduct in-depth impact analysis on each data in the collected historical record database, study the trend of historical load data over time, determine its periodicity and seasonal characteristics, analyze the correlation between weather data and load data, such as the increase in air conditioning power consumption under high temperature weather, and evaluate the special impact of activity holiday information on load, such as changes in commercial and residential power consumption during holidays. Based on the results of the impact analysis, filter out feature data that has an important impact on load forecasting, such as weather parameters that are highly correlated with load changes in a specific season, or power consumption pattern data with significant differences during specific holidays. Arrange the filtered feature data in chronological order to construct a time series data training set for training.

[0034] Step S430, using the long short-term memory network to build a model framework, the model training is performed through the time series data training set, and the load state prediction model is obtained. The load state prediction model is respectively fitted to the corresponding power grid twin model, and the load prediction is performed based on the power grid data of the power grid twin model. Specifically, the model framework for load prediction is built using the principle and structure of the long short-term memory network (LSTM). LSTM can handle long-term dependencies in time series data and is suitable for data prediction with time series characteristics such as power load. The constructed time series data training set is used to train the constructed LSTM model framework. During the training process, the model continuously learns and adjusts internal parameters to improve the accuracy of load prediction. After multiple training and optimization, a model that can accurately predict the load state is obtained. This load state prediction model is respectively fitted to the power grid twin model corresponding to the target power grid and the coordinated transfer power grid. When load prediction is required, the power grid data obtained in real time based on the power grid twin model, such as the current load situation, weather conditions, time information, etc., is input into the fitted prediction model, thereby realizing accurate prediction of future loads.

[0035] Step S500, an overload determination is made on the predicted load of the target power grid, and the load transfer strategy is optimized according to the predicted load of the coordinated transfer power grid with the overload load as the target, and a load transfer control strategy is obtained, and the load transfer control strategy is used to control the overload load to be transferred to the target coordinated power grid. Specifically, an overload determination is made on the predicted load of the target power grid, and the load transfer strategy is optimized according to the predicted load of the coordinated transfer power grid with the overload load as the target, and a load transfer control strategy is obtained, and the load transfer control strategy is used to control the overload load to be transferred to the target coordinated power grid. The predicted load of the target power grid is analyzed and evaluated in detail, and the predicted load is compared with the maximum carrying capacity of the target power grid. If the predicted load exceeds the maximum carrying capacity, it is determined to be overloaded, and the specific load amount of the overload is determined, and it is used as the target load to be transferred. The predicted load of the coordinated transfer power grid is studied, and the available capacity, operating status, and connection status of each coordinated transfer power grid and the target power grid are analyzed. Based on these analyses, the carrying capacity and operating characteristics of each coordinated transfer power grid are comprehensively considered to optimize the load transfer strategy. For example, priority is given to selecting a coordinated transfer grid with sufficient capacity, stable operation and convenient connection with the target grid as the main load receiver. In the optimization process, by establishing a mathematical model or using an intelligent algorithm, the power transmission efficiency, loss and impact on grid stability under different transfer schemes are calculated to determine the optimal load transfer control strategy. This strategy clarifies the specific operational details such as how much load to transfer from the target grid to which or which coordinated transfer grids, and when to transfer, so as to achieve effective transfer and reasonable allocation of overloaded loads and ensure the safe and stable operation of the grid. For example, assuming that the target grid is predicted to be overloaded by 100 megawatts at a certain moment, after analysis and optimization, it is decided to transfer 60 megawatts of the 100 megawatts load to the coordinated transfer grid A and 40 megawatts to the coordinated transfer grid B, and it is stipulated that the transfer operation must be completed within a specific time period. This is the load transfer control strategy obtained.

[0036] In a possible implementation, the predicted load of the target power grid is judged to be overloaded, and the load transfer strategy is optimized according to the predicted load of the coordinated transfer power grid with the overload load as the target, and the load transfer control strategy is obtained, and the load transfer control strategy is used to control the overload load to transfer to the target coordinated power grid. Step S500 further includes step S510, starting from the time node of the overload load, performing incremental prediction according to a preset period, and constructing a time-series overload load chain, and the preset period is the minimum time that can ensure the switching stability obtained by analyzing the historical transmission channel switching case. Specifically, the specific time node of the overload load is determined, and the minimum time that can ensure the switching stability obtained by in-depth analysis of the historical transmission channel switching case is set as a preset period. Starting from this time node, the overload load is incrementally predicted one by one with the preset period as the unit, and each prediction is based on the load situation and change trend of the previous period, and a time-series overload load chain reflecting the change of the overload load over time is gradually constructed. For example, by analyzing the historical cases, it is found that 15 minutes is the minimum time to ensure the switching stability, then the prediction and construction are performed with 15 minutes as the period.

[0037] Step S520, based on the time interval formed by the starting point and the preset period, the time-series load forecast information of each coordinated transfer power grid is obtained respectively. Specifically, according to a series of continuous time intervals formed by the determined starting point and the preset period, for each coordinated transfer power grid, the time-series load forecast information in these time intervals is obtained respectively. This information includes the predicted load value at each time point and the load change trend.

[0038] Step S530, respectively calculate the first-order derivative and second-order derivative of the time-series overload load chain and the time-series load forecast information to determine the load change rate and load change acceleration. Specifically, for the constructed time-series overload load chain and the acquired time-series load forecast information of each coordinated transfer power grid, respectively calculate their first-order derivative and second-order derivative. The load change rate is determined by the first-order derivative to reflect the speed of increase or decrease of the load over time; the load change acceleration is determined by the second-order derivative to reflect the change of the load change speed.

[0039] Step S540, the load change rate and load change acceleration are used as the first matching optimization relationship, and the characteristic label of the coordinated transfer power grid is used as the second matching optimization relationship. Specifically, the calculated load change rate and load change acceleration form the first matching optimization relationship, which is used to reflect the matching degree between the dynamic characteristics of load change and the transfer demand, and the characteristic label of the coordinated transfer power grid (such as transmission label, matching level label, stability label, compatibility label, etc.) is used as the second matching optimization relationship, which is used to indicate the adaptation of the inherent attributes of the power grid itself and the load transfer.

[0040] Step S550, construct an objective function, perform optimization evaluation on the first matching optimization relationship and the second matching optimization relationship until the optimization goal is met, and obtain the load transfer control strategy. Specifically, construct an objective function, which comprehensively considers the first matching optimization relationship (load change rate, load change acceleration) and the second matching optimization relationship (characteristic label of the collaborative transfer power grid). For the first matching optimization relationship, the load change rate and load change acceleration are analyzed to evaluate the degree of matching of different load transfer strategies with the overload load in the time dimension. For example, if the load change rate is large and the acceleration is high, a faster and more flexible load transfer strategy may be required to adapt to this change. For the second matching optimization relationship, the characteristic labels of the collaborative transfer power grid are examined in detail, such as transmission path length, loss, cost and other factors. A collaborative transfer grid with a shorter path, lower loss and reasonable cost will have more advantages. The optimization evaluation begins. By continuously trying different load transfer combinations and strategies, they are substituted into the objective function to calculate the corresponding evaluation value. In the optimization process, the load transfer plan is continuously adjusted and improved according to the current strategy and the calculated evaluation value. For example, if a certain strategy leads to excessively high transmission costs, but the load matching is better, it may be possible to try to adjust the load distribution to other collaborative transfer grids to reduce costs while ensuring load matching. The optimization process continues, and the evaluation values ​​of different strategies are continuously compared until the preset optimization goal is met. The goal is to achieve the lowest total transmission cost, the most balanced load distribution, or the optimal combination under certain constraints. Finally, when the optimization meets the goal, the load transfer control strategy at this time is determined and obtained, that is, the optimal transfer strategy is found after considering multiple factors such as load matching and collaborative tags. For example, an initial load transfer strategy is assumed first, its evaluation value is calculated, and it is found that the cost is too high. Then the load transfer amount to a collaborative transfer grid is adjusted, and the evaluation value is calculated again. This is repeated until the optimal strategy that meets the goal is found, such as the lowest total transmission cost and balanced load distribution.

[0041] In a possible implementation, an objective function is constructed, and the first matching optimization relationship and the second matching optimization relationship are optimized and evaluated until the optimization goal is met, and the load transfer control strategy is obtained. Step S550 further includes step S551, and the objective function is constructed to meet the transfer of the overload load and minimize the transmission cost. The objective function expression is: ,in, To coordinate the transfer of power grid The transmission cost coefficient, For at the moment Transfer from target grid to collaborative grid The load, is the load balancing importance weight, At the moment Time coordinated transfer of power grid The predicted load value, To coordinate the transfer of power grid The predicted load value and average load The absolute value of the difference is used to balance the optimization objective so that the load of each coordinated transfer grid is close to the average value of the total load. At the moment The total load of all coordinated transfer grids is , The number of coordinated transfer grids. Specifically, the goal of constructing the objective function is to minimize the transmission cost under the premise of satisfying the overload load transfer. The various parameters in the objective function are defined and explained. Represents collaborative power grid transfer The transmission cost coefficient reflects the unit cost of transferring load to the grid. Indicates at a specific time Transfer from target grid to collaborative grid The load amount. is the load balancing importance weight, which is used to adjust the importance of load balancing in the objective function. Coordinated transfer of power grid At the moment The predicted load value is used to measure the balance of load distribution by the difference between this value and the average value of total load. is the total coordinated transfer grid at time The total load, The number of coordinated transfer grids.

[0042] Step S552: Based on the first matching optimization relationship and the second matching optimization relationship, a transfer matching relationship is selected from them to obtain a first load transfer strategy, and the first load transfer strategy is evaluated by the objective function to determine a first evaluation value. Specifically, based on the first matching optimization relationship (load change rate, load change acceleration) and the second matching optimization relationship (characteristic labels of the collaborative transfer power grid, such as path length, loss, cost, etc.), a transfer matching relationship is selected to obtain the first load transfer strategy, and various parameters in the first load transfer strategy are substituted into the objective function for calculation and evaluation, thereby determining the first evaluation value.

[0043] Step S553: ​​Based on the first matching optimization relationship and the second matching optimization relationship, a transfer matching relationship is selected from them to obtain a second load transfer strategy, and the second load transfer strategy is evaluated by the objective function to determine a second evaluation value. Specifically, another transfer matching relationship is selected again based on the two matching optimization relationships to obtain a second load transfer strategy, and the second load transfer strategy is evaluated by the objective function to determine a second evaluation value.

[0044] Step S554, select the current optimal solution and the optimization direction according to the first evaluation value and the second evaluation value, use the current optimal solution as the optimization center, perform iterative optimization according to the optimization direction, evaluate through the objective function, compare the current strategy evaluation value with the evaluation value of the current optimal solution, select the load transfer strategy with the larger evaluation value as the current optimal solution, and so on, until the optimization goal is met, and output the optimal solution as the load transfer control strategy. Specifically, the current optimal solution and the optimization direction are selected according to the first evaluation value and the second evaluation value. For example, if the first evaluation value is greater than the second evaluation value, the first load transfer strategy is selected as the current optimal solution, and a preliminary optimization direction is determined. With the current optimal solution as the optimization center, perform iterative optimization according to the optimization direction. After each iteration obtains a new load transfer strategy, it is evaluated by the objective function. Compare the evaluation value of the current strategy with the evaluation value of the current optimal solution. If the evaluation value of the new strategy is greater, update it to the current optimal solution, and continue to iterate and optimize. Repeatedly, continuously adjust and optimize the load transfer strategy until the preset optimization goal is met. For example, when the evaluation value reaches the threshold of the minimum transmission cost, or after a certain number of iterations, no better strategy can be found, stop the optimization, and output the optimal solution at this time as the load transfer control strategy. Assume that in a specific scenario, the first load transfer strategy is to transfer most of the overload load to the coordinated transfer power grid with lower transmission cost but longer distance, and its evaluation value is 80. The second load transfer strategy is to disperse the overload load to multiple coordinated transfer power grids with closer distance but slightly higher cost, and the evaluation value is 70. Then choose the first load transfer strategy as the current optimal solution, and you may try to adjust the load distribution to other coordinated transfer power grids with slightly closer distances on the basis of maintaining the transmission cost advantage, and perform iterative optimization.

[0045] The embodiment of the present application adopts the method of analyzing the load transfer demand characteristics of the target power grid and searching for the collaborative transfer power grid; collecting the physical distribution and operation data of the target power grid and the collaborative transfer power grid, and constructing a power grid twin model that can reflect the actual operation status based on the digital twin technology; establishing a data sharing mechanism to connect the two models; predicting the operation status of each power grid based on model analysis to obtain the predicted load; making an overload judgment on the predicted load of the target power grid, taking the overload load as the target, optimizing the load transfer strategy according to the predicted load of the collaborative transfer power grid, and obtaining the control strategy to realize the overload load transfer, and realizing efficient and stable load transfer by accurately analyzing the power grid load, thereby achieving the technical effect of improving the operation performance of the power grid and the economic and social benefits.

[0046] In the above, refer to Figure 1 A digital twin driven power grid load transfer control method according to an embodiment of the present invention is described in detail. Figure 2 A digital twin driven power grid load transfer control device according to an embodiment of the present invention is described.

[0047] A digital twin-driven power grid load transfer control device according to an embodiment of the present invention is used to solve the technical problem that the prior art lacks a fine analysis of the power grid load, resulting in the inability to accurately grasp the real-time changes and distribution characteristics of the load, and the inability to transfer the load in time, which affects the operation status of the power grid. By accurately analyzing the power grid load, efficient and stable load transfer is achieved to achieve the technical effect of improving the operation performance and economic and social benefits of the power grid. A digital twin-driven power grid load transfer control device includes: a demand feature analysis module 10, a data acquisition module 20, a sharing mechanism establishment module 30, an analysis and prediction module 40, and an overload determination module 50.

[0048] The demand characteristic analysis module 10 is used to analyze the load transfer demand characteristics of the target power grid, and search for a coordinated transfer power grid based on the load transfer demand characteristics;

[0049] The data acquisition module 20 is used to collect the physical distribution and operation data of the power grid according to the target power grid and the coordinated transfer power grid, and to build a power grid twin model based on the digital twin technology. The power grid twin model can reflect the actual operation status of the power grid;

[0050] The sharing mechanism establishment module 30 is used to establish a data sharing mechanism, connect the power grid twin model of the target power grid and the power grid twin model of the collaborative transfer power grid;

[0051] The analysis and prediction module 40 is used to analyze and predict the operating status of each power grid based on the power grid twin model, and obtain the predicted load of the target power grid and the predicted load of the coordinated transfer power grid;

[0052] The overload determination module 50 is used to perform overload determination on the predicted load of the target power grid, take the overload load as the target, optimize the load transfer strategy according to the predicted load of the collaborative transfer power grid, and obtain the load transfer control strategy, which is used to control the transfer of the overload load to the target collaborative power grid.

[0053] Below, the specific configuration of the demand feature analysis module 10 will be described in detail. As described above, the load transfer demand characteristics of the target power grid are analyzed, and a collaborative transfer power grid is searched based on the load transfer demand characteristics. The demand feature analysis module 10 further includes: a steady-state transfer demand acquisition unit, the steady-state transfer demand acquisition unit is used to acquire the steady-state transfer demand, the steady-state transfer demand is the load transfer demand corresponding to the planned operation and maintenance time of the target power grid; a dynamic transfer demand determination unit, the dynamic transfer demand determination unit is used to perform abnormal supply status analysis based on the historical abnormal supply cases of the target power grid, and determine the dynamic transfer demand; a feature analysis unit, the feature analysis unit is used to perform demand quantity, demand continuity, and transfer demand type feature analysis on the steady-state transfer demand and dynamic transfer demand, respectively, to obtain the load transfer demand characteristics.

[0054] Among them, the demand feature analysis module 10 further includes: a search constraint configuration unit, the search constraint configuration unit is used to obtain the geographical distribution and technical standards of the target power grid, and configure the search constraints according to the geographical distribution and technical standards combined with the load transfer demand characteristics, the search constraints include transmission path, power grid capacity, power grid state stability, and technical standard compatibility; a power grid search unit, the power grid search unit is used to search the power grid with the search constraints as the index to obtain the collaborative transfer power grid, the collaborative transfer power grid is a cooperative power grid that meets the search constraints and authorizes load transfer control, and the collaborative transfer power grid includes multiple.

[0055] Among them, the power grid search unit further includes: a transmission label generation subunit, the transmission label generation subunit is used to analyze the transmission path characteristics according to the transmission channel between the target power grid and each coordinated transfer power grid through the shortest path algorithm, obtain the transmission distance, transmission loss, and generate a transmission label; a matching level label generation subunit, the matching level label generation subunit is used to obtain the capacity and historical load of each coordinated transfer power grid, evaluate the transfer capacity matching level, and generate a matching level label; a stability label generation subunit, the stability label generation subunit is used to evaluate the operation stability according to the historical operation data of each coordinated transfer power grid, and generate a stability label according to the stability evaluation result; a compatibility label generation subunit, the compatibility label generation subunit is used to generate a compatibility label according to the standard compatibility degree of the technical standard; a label integration subunit, the label integration subunit is used to integrate the transmission label, matching level label, stability label, and compatibility label, and add them to the coordinated transfer power grid to describe each coordinated transfer power grid. Below, the specific configuration of the analysis and prediction module 40 will be described in detail. As described above, based on the power grid twin model, the operating status of each power grid is analyzed and predicted respectively to obtain the predicted load of the target power grid and the predicted load of the collaborative transfer power grid. The analysis and prediction module 40 further includes: a historical record database collection unit, which is used to collect the historical record database of the target power grid and the collaborative transfer power grid respectively, and the historical record database includes historical load data, timestamps, weather data, and activity holiday information; a training set construction unit, which is used to perform data impact analysis on the historical record database, filter feature data based on the impact, and construct a time series data training set; a load prediction unit, which is used to build a model framework using a long short-term memory network, perform model training through the time series data training set, obtain a load state prediction model, fit the load state prediction model to the corresponding power grid twin model, and perform load prediction based on the power grid data of the power grid twin model.

[0056] The specific configuration of the overload determination module 50 will be described in detail below. As described above, an overload determination is performed on the predicted load of the target power grid, and the overload load is taken as the target. The load transfer strategy is optimized according to the predicted load of the collaborative transfer power grid, and the load transfer control strategy is obtained. The load transfer control strategy is used to control the transfer of the overload load to the target collaborative power grid. The overload determination module 50 further includes: a sequential overload load chain construction unit, the sequential overload load chain construction unit is used to take the time node of the overload load as the starting point, perform incremental prediction according to a preset period, and construct a sequential overload load chain. The preset period is the minimum time that can ensure the switching stability obtained by analyzing the historical transmission channel switching cases; a sequential load prediction information acquisition unit, the sequential load prediction information acquisition unit is used to obtain information based on the starting point. and the time interval formed by the preset cycle, respectively obtain the time series load forecast information of each collaborative transfer power grid; an overload load chain calculation unit, the overload load chain calculation unit is used to respectively calculate the time series overload load chain, the first-order derivative and the second-order derivative of the time series load forecast information, and determine the load change rate and the load change acceleration; an optimization relationship unit, the optimization relationship unit is used to use the load change rate and the load change acceleration as the first matching optimization relationship, and the characteristic label of the collaborative transfer power grid as the second matching optimization relationship; a control strategy acquisition unit, the control strategy acquisition unit is used to construct an objective function, perform optimization evaluation on the first matching optimization relationship and the second matching optimization relationship until the optimization target is met, and obtain the load transfer control strategy.

[0057] The control strategy acquisition unit is used to construct an objective function, and to perform optimization evaluation on the first matching optimization relationship and the second matching optimization relationship until the optimization target is met, so as to obtain the load transfer control strategy. The control strategy acquisition unit further includes: an objective function construction subunit, and the objective function construction subunit is used to construct the objective function with the transfer of the overload load being satisfied and the transmission cost being minimized as the target. The objective function expression is: ,in, To coordinate the transfer of power grid The transmission cost coefficient, For at the moment Transfer from target grid to collaborative grid The load, is the load balancing importance weight, At the moment Time coordinated transfer of power grid The predicted load value, To coordinate the transfer of power grid The predicted load value and average load The absolute value of the difference is used to balance the optimization objective so that the load of each coordinated transfer grid is close to the average value of the total load. At the moment The total load of all coordinated transfer grids is , is the number of collaboratively transferred power grids; a first evaluation value determination subunit, the first evaluation value determination subunit is used to select a transfer matching relationship from the first matching optimization relationship and the second matching optimization relationship to obtain a first load transfer strategy, evaluate the first load transfer strategy through the objective function, and determine a first evaluation value; a second evaluation value determination subunit, the second evaluation value determination subunit is used to select a transfer matching relationship from the first matching optimization relationship and the second matching optimization relationship to obtain a second load transfer strategy, evaluate the second load transfer strategy through the objective function, and determine a second evaluation value; an iterative optimization subunit, the iterative optimization is used to select the current optimal solution and the optimization direction according to the first evaluation value and the second evaluation value, based on the current optimal solution as the optimization center, iterative optimization is performed according to the optimization direction, and the objective function is used for evaluation, and the current strategy evaluation value is compared with the evaluation value of the current optimal solution, and the load transfer strategy with a larger evaluation value is selected as the current optimal solution, and so on, until the optimization target is met, and the optimal solution is output as the load transfer control strategy.

[0058] A digital twin driven power grid load transfer control device provided in an embodiment of the present invention can execute a digital twin driven power grid load transfer control method provided in any embodiment of the present invention, and has functional modules and beneficial effects corresponding to the execution method.

[0059] Although the present application makes various references to certain modules in the device according to the embodiments of the present application, any number of different modules may be used and run on the user terminal and / or server, and the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0060] The above specific implementation manner does not constitute a limitation to the protection scope of the present application. It should be understood by those skilled in the art that various modifications, combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present application should be included in the protection scope of the present application. In some cases, the actions or steps recorded in the present application can be performed in an order different from that in the embodiment and can still achieve the desired results. In addition, the process depicted in the accompanying drawings does not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

Claims

1. A digital twin-driven power grid load transfer control method, characterized in that: The digital twin-driven power grid load transfer control method includes: Analyzing the load transfer demand characteristics of the target power grid, and searching for a coordinated transfer power grid based on the load transfer demand characteristics; According to the target power grid and the coordinated transfer power grid, the physical distribution and operation data of the power grid are collected respectively, and a power grid twin model is constructed based on the digital twin technology, and the power grid twin model can reflect the actual operation status of the power grid; Establishing a data sharing mechanism to connect the grid twin model of the target grid and the grid twin model of the collaborative transfer grid; Based on the power grid twin model, the operating status of each power grid is analyzed and predicted respectively to obtain the predicted load of the target power grid and the predicted load of the coordinated transfer power grid; An overload determination is performed on the predicted load of the target power grid, and a load transfer strategy is optimized according to the predicted load of the coordinated transfer power grid with the overload load as the target, so as to obtain a load transfer control strategy, wherein the load transfer control strategy is used to control the overload load to transfer to the target coordinated power grid; The analyzing the load transfer demand characteristics of the target power grid includes: Obtaining a steady-state transfer demand, where the steady-state transfer demand is a load transfer demand corresponding to a planned operation and maintenance time of a target power grid; Analyze abnormal supply status based on historical abnormal supply cases of the target power grid to determine dynamic transfer requirements; The steady-state transfer demand and the dynamic transfer demand are analyzed in terms of demand quantity, demand continuity, and transfer demand type characteristics to obtain the load transfer demand characteristics.

2. The digital twin-driven power grid load transfer control method according to claim 1, characterized in that: Searching for a coordinated transfer power grid based on the load transfer demand characteristics includes: Obtaining the geographical distribution and technical standards of the target power grid, and configuring search constraints according to the geographical distribution and technical standards combined with the load transfer demand characteristics, wherein the search constraints include transmission path, power grid capacity, power grid state stability, and technical standard compatibility; A power grid search is performed using the search constraint as an index to obtain the coordinated transfer power grid, wherein the coordinated transfer power grid is a cooperative power grid that satisfies the search constraint and authorizes load transfer control, and the coordinated transfer power grid includes multiple ones.

3. The digital twin-driven power grid load transfer control method according to claim 2, characterized in that: Acquiring the coordinated transfer power grid further includes: According to the transmission channels between the target power grid and each coordinated transfer power grid, a transmission path feature analysis is performed using a shortest path algorithm to obtain a transmission distance and a transmission loss, and a transmission label is generated; Obtain the capacity and historical load of each coordinated transfer power grid, evaluate the transfer capacity matching level, and generate a matching level label; According to the historical operation data of each coordinated transfer power grid, the operation stability evaluation is carried out, and the stability label is generated according to the stability evaluation results; Generate a compatibility label according to the standard compatibility of the technical standard; The transmission label, matching level label, stability label, and compatibility label are integrated and added to the coordinated transfer grid to describe each coordinated transfer grid.

4. The digital twin-driven power grid load transfer control method according to claim 1, characterized in that: Based on the power grid twin model, the operation status of each power grid is analyzed and predicted respectively, including: Collecting the historical record database of the target power grid and the coordinated transfer power grid respectively, wherein the historical record database includes historical load data, timestamp, weather data, and activity holiday information; Performing data impact analysis on the historical record database, screening feature data based on impact, and constructing a time series data training set; A model framework is built using a long short-term memory network, and the model is trained using the time series data training set to obtain a load state prediction model. The load state prediction model is fitted to the corresponding power grid twin model, and load prediction is performed based on the power grid data of the power grid twin model.

5. The digital twin-driven power grid load transfer control method according to claim 3, characterized in that: The method of taking the overload as the target and optimizing the load transfer strategy according to the load forecast of the collaborative transfer power grid to obtain the load transfer control strategy includes: Taking the time node of the overload as the starting point, incremental prediction is performed according to a preset period to construct a time sequence overload chain, wherein the preset period is the minimum time that can ensure switching stability obtained through historical transmission channel switching case analysis; Based on the time interval formed by the starting point and the preset cycle, the time sequence load forecast information of each coordinated transfer power grid is obtained respectively; Calculating the time-series overload load chain and the first-order derivative and the second-order derivative of the time-series load forecast information respectively, and determining the load change rate and the load change acceleration; The load change rate and load change acceleration are used as a first matching optimization relationship, and the characteristic label of the coordinated transfer power grid is used as a second matching optimization relationship; An objective function is constructed, and the first matching optimization relationship and the second matching optimization relationship are optimized and evaluated until the optimization objective is met, thereby obtaining the load transfer control strategy.

6. The digital twin-driven power grid load transfer control method according to claim 5, characterized in that: The constructing of the objective function, performing optimization evaluation on the first matching optimization relationship and the second matching optimization relationship until the optimization objective is met, and obtaining the load transfer control strategy, includes: The objective function is constructed with the goal of satisfying the transfer of the overload load and minimizing the transmission cost. The objective function expression is: ,in, To coordinate the transfer of power grid The transmission cost coefficient, For at the moment Transfer from target grid to collaborative grid The load, is the load balancing importance weight, At the moment Time coordinated transfer of power grid The predicted load value, To coordinate the transfer of power grid The predicted load value and average load The absolute value of the difference is used to balance the optimization objective so that the load of each coordinated transfer grid is close to the average value of the total load. At the moment The total load of all coordinated transfer grids is , is the number of coordinated transfer power grids; based on the first matching optimization relationship and the second matching optimization relationship, a transfer matching relationship is selected from them to obtain a first load transfer strategy, and the first load transfer strategy is evaluated by the objective function to determine a first evaluation value; Based on the first matching optimization relationship and the second matching optimization relationship, a transfer matching relationship is selected from them to obtain a second load transfer strategy, and the second load transfer strategy is evaluated by the objective function to determine a second evaluation value; According to the first evaluation value and the second evaluation value, the current optimal solution and the optimization direction are selected. Based on the current optimal solution as the optimization center, iterative optimization is performed along the optimization direction. Evaluation is performed through the objective function. The current strategy evaluation value is compared with the evaluation value of the current optimal solution, and the load transfer strategy with a larger evaluation value is selected as the current optimal solution. This process is repeated until the optimization goal is met, and the optimal solution is output as the load transfer control strategy.

7. A digital twin-driven power grid load transfer control device, characterized in that: The device is used to implement a digital twin driven power grid load transfer control method according to any one of claims 1 to 6, and the device comprises: A demand feature analysis module, the demand feature analysis module is used to analyze the load transfer demand characteristics of the target power grid, and search for a coordinated transfer power grid based on the load transfer demand characteristics; A data acquisition module, wherein the data acquisition module is used to respectively collect the physical distribution and operation data of the power grid according to the target power grid and the coordinated transfer power grid, and to build a power grid twin model based on the digital twin technology, wherein the power grid twin model can reflect the actual operation status of the power grid; A sharing mechanism establishment module, wherein the sharing mechanism establishment module is used to establish a data sharing mechanism, connect the power grid twin model of the target power grid and the power grid twin model of the collaborative transfer power grid; An analysis and prediction module, which is used to analyze and predict the operating status of each power grid based on the power grid twin model, and obtain the predicted load of the target power grid and the predicted load of the coordinated transfer power grid; An overload determination module, the overload determination module is used to perform overload determination on the predicted load of the target power grid, take the overload load as the target, optimize the load transfer strategy according to the predicted load of the collaborative transfer power grid, and obtain a load transfer control strategy, the load transfer control strategy is used to control the overload load to transfer to the target collaborative power grid; The demand feature parsing module further includes: A steady-state transfer demand acquisition unit, the steady-state transfer demand acquisition unit is used to acquire a steady-state transfer demand, the steady-state transfer demand is a load transfer demand corresponding to a planned operation and maintenance time of a target power grid; A dynamic transfer demand determination unit, the dynamic transfer demand determination unit is used to perform abnormal supply status analysis based on historical abnormal supply cases of the target power grid to determine a dynamic transfer demand; A characteristic analysis unit is used to analyze the demand quantity, demand continuity, and transfer demand type characteristics of the steady-state transfer demand and the dynamic transfer demand, respectively, to obtain the load transfer demand characteristics.

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