A multi-scenario intelligent decision-making system based on smart substation energy storage

Abstract

The present invention relates to the field of energy storage management technology, and in particular to a multi-scenario intelligent decision-making system based on smart substation energy storage, comprising a smart substation energy storage platform, a regional information unit, a sub-regional supervision unit, a dynamic power trend unit, a regional decision evaluation unit, a feasibility evaluation unit, a supply forecast supervision unit and an energy storage management unit; the present invention performs regional decision optimization demand evaluation and analysis in an information fusion and progressive manner to improve the feasibility of energy storage decisions in a target area, and on the premise that the energy storage decisions in the target area meet the standards, performs actual decision feasibility supervision and analysis from the perspective of actual use of the decision to improve the effectiveness and rationality of energy storage decisions in the target area, and at the same time performs power supply risk prediction and evaluation analysis on the power consumption of the sub-region, so as to pre-order power for the sub-region, ensure the supply efficiency of energy storage in the sub-region, and help reduce the overall power supply risk of the target area.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage management, and in particular to a multi-scenario intelligent decision-making system based on smart substation energy storage. Background Art

[0002] Today is the era of the Internet. The emergence of large-scale power systems is one of the most important achievements in the history of human engineering science. It is a power production and consumption system composed of power generation, transmission, transformation, distribution and power consumption. It converts primary energy in nature into electricity through mechanical energy devices, and then supplies electricity to various users through transmission, transformation and distribution. It is undeniable that the continuous emergence of new technologies has made electricity a necessity for people;

[0003] However, in the existing technology, it is impossible to make reasonable energy storage decision management according to the supply and demand of the power grid, and it is impossible to predict the dynamic changes of energy storage according to the coverage area of ​​the power grid and adjust the scene energy storage decision according to the predicted situation, thereby reducing the regional energy storage efficiency and the feasibility of regional energy storage decisions. It is also impossible to make advance dispatch according to the actual energy storage supply situation, resulting in reduced regional supply efficiency;

[0004] In view of the above technical defects, a solution is now proposed. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-scenario intelligent decision-making system based on smart substation energy storage to solve the above-mentioned technical defects. The present invention preliminarily conducts dispatch demand supervision and evaluation analysis on historical power information, so as to understand the power dispatch demand situation of each sub-region from a historical perspective, and further analyzes it from the dynamic change situation, so as to make reasonable energy storage adjustments according to the dynamic trend of demand in the supply sub-region, improve the rationality of energy storage in the supply sub-region, and conduct regional decision optimization demand evaluation analysis through information fusion and progressive methods to improve the feasibility of energy storage decision in the target area. On the premise that the energy storage decision in the target area meets the standard, the actual decision feasibility supervision analysis is conducted from the perspective of actual use of the decision to improve the effectiveness and rationality of energy storage decision in the target area. At the same time, the power supply risk prediction and evaluation analysis is conducted from the power consumption of the sub-region, so as to call power in the sub-region in advance to ensure the supply efficiency of energy storage in the sub-region, and at the same time help reduce the overall power supply risk of the target area.

[0006] The purpose of the present invention can be achieved by the following technical solutions: a multi-scenario intelligent decision-making system based on smart substation energy storage, including a smart substation energy storage platform, a regional information unit, a sub-regional supervision unit, a dynamic power trend unit, a regional decision evaluation unit, a feasibility evaluation unit, a supply forecast supervision unit and an energy storage management unit;

[0007] The regional information unit is used to collect historical power information of the target area and send the historical power information to the sub-region supervision unit;

[0008] After receiving the historical power information, the sub-regional supervision unit immediately conducts dispatch demand supervision evaluation and analysis on the historical power information, and performs discrimination processing on the obtained dispatch demand ratio to obtain qualified signals and unqualified signals;

[0009] When a qualified signal is generated, the dynamic power trend unit immediately responds to the qualified signal to perform dynamic curve supervision analysis and sends the obtained demand signal and normal signal to the energy storage management unit;

[0010] When a qualified signal is generated, the regional decision evaluation unit immediately responds to the qualified signal to perform regional decision optimization demand evaluation and analysis, and performs discrimination processing on the obtained scheduling allocation coefficient ratio to obtain a qualified signal and an optimization signal;

[0011] When a compliance signal is generated, the feasibility assessment unit responds to the compliance signal to perform a feasibility supervision analysis of the actual decision from the perspective of actual use of the decision, and sends the obtained defect signal to the energy storage management unit;

[0012] When a compliance signal is generated, the supply forecasting and supervision unit responds to the compliance signal, performs power supply risk forecasting, assessment and analysis based on the power consumption of the sub-area, and sends the obtained risk signal to the energy storage management unit.

[0013] Preferably, the dispatch demand supervision evaluation and analysis process of the sub-region supervision unit is as follows:

[0014] S1: Set a monitoring cycle and set it as a time threshold, obtain the supply area of ​​each energy storage device in the target area within the time threshold, and set the supply area of ​​each energy storage device in the target area as a supply sub-area, obtain the historical power information of each supply sub-area within the time threshold, the historical power information represents the total number of historical energy storage times of each supply sub-area, and then obtain the single energy storage data of each supply sub-area within the time threshold, the single energy storage data represents the actual energy storage value of each supply sub-area at a time, and at the same time obtain the actual power data of each supply sub-area at a time within the time threshold, the actual power data includes the total power consumption and the total line loss, and the sum of the total power consumption and the total line loss is set as the power demand value, and the value obtained by subtracting the actual energy storage value from the power demand value is set as the power matching coefficient;

[0015] S2: Compare and analyze the power matching coefficient with the stored preset power matching coefficient range, and then obtain the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range, and set the ratio between the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range and the total number of historical energy storage times as the dispatch demand ratio;

[0016] S3: Compare and analyze the dispatch demand ratio with the preset dispatch demand ratio threshold value stored in the internal storage:

[0017] If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is less than 1, a qualified signal is generated;

[0018] If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is greater than or equal to 1, a failure signal is generated.

[0019] Preferably, the dynamic curve supervision and analysis process of the dynamic power trend unit is as follows:

[0020] Obtain the power demand value of each supply sub-area corresponding to the qualified signal within the time threshold, establish a coordinate system with the energy storage times as the X-axis and the power demand value as the Y-axis, draw a power demand value curve by plotting points, and then obtain the change trend value of the power demand value curve, and set the change trend value of the power demand value curve as the energy storage allocation coefficient;

[0021] Compare and analyze the energy storage allocation coefficient with the stored preset energy storage allocation coefficient threshold:

[0022] If the energy storage allocation coefficient is greater than or equal to a preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient greater than the preset energy storage allocation coefficient threshold is set as the demand area, and a demand signal is generated;

[0023] If the energy storage allocation coefficient is less than the preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient being greater than the preset energy storage allocation coefficient threshold is set as a normal area, and a normal signal is generated.

[0024] Preferably, the regional decision optimization demand evaluation and analysis process of the regional decision evaluation unit is as follows:

[0025] The number of demand areas in the target area within the time threshold is obtained, and the number of supply sub-areas corresponding to unqualified signals in the target area within the time threshold is obtained, and the sum of the number of demand areas in the target area and the number of supply sub-areas corresponding to unqualified signals in the target area is set as the scheduling value, and the ratio between the scheduling value and the number of supply sub-areas corresponding to qualified signals in the target area is set as the scheduling allocation coefficient;

[0026] Compare and analyze the dispatch allocation coefficient with the preset dispatch allocation coefficient threshold value stored in the internal storage:

[0027] If the ratio between the scheduling allocation coefficient and the preset scheduling allocation coefficient threshold is less than 1, a compliance signal is generated;

[0028] If the ratio between the scheduling allocation coefficient and the preset scheduling allocation coefficient threshold is greater than or equal to 1, an optimization signal is generated.

[0029] Preferably, the actual decision-making feasibility supervision analysis process of the feasibility assessment unit is as follows:

[0030] The duration between two adjacent energy storage allocation times in the target area within the time threshold is obtained, and it is set as the energy storage use cycle, and the actual power dispatch data in the target area of ​​the energy storage use cycle is obtained. The actual power dispatch data includes the total number of power dispatch times and the total amount of power dispatch. The total number of power dispatch times and the total amount of power dispatch are marked as DD and DZ respectively;

[0031] According to the formula The dispatch feasibility evaluation value is obtained, where a1 and a2 are respectively the preset proportional factor coefficients of the total number of power dispatches and the total amount of power dispatches, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, and D is the dispatch feasibility evaluation value. The dispatch feasibility evaluation value D is compared and analyzed with the preset dispatch feasibility evaluation value threshold value stored in the internal input:

[0032] If the ratio between the scheduling feasibility evaluation value D and the preset scheduling feasibility evaluation value threshold is less than 1, no signal is generated;

[0033] If the ratio between the scheduling feasibility evaluation value D and the preset scheduling feasibility evaluation value threshold is greater than or equal to 1, a defect signal is generated.

[0034] Preferably, the power supply risk forecasting, evaluation and analysis process of the supply forecasting and supervision unit is as follows:

[0035] The actual power consumption and actual line loss of each supply sub-area during the energy storage use cycle are obtained, and the sum of the actual power consumption and the actual line loss is set as the actual power consumption value. The actual power consumption value is compared with the stored preset power consumption value threshold. If the actual power consumption value is greater than the preset power consumption value threshold, the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is obtained, and the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is set as the supply risk duration. The supply risk duration is compared with the preset supply risk duration threshold stored internally:

[0036] If the ratio between the supply risk duration and the preset supply risk duration threshold is less than 1, no signal is generated;

[0037] If the ratio between the supply risk duration and the preset supply risk duration threshold is greater than or equal to 1, a risk signal is generated.

[0038] The beneficial effects of the present invention are as follows:

[0039] (1) The present invention preliminarily conducts dispatch demand supervision and assessment analysis on historical power information, so as to understand the power dispatch demand of each sub-region from a historical perspective, which helps to evaluate the energy storage dispatch efficiency of the sub-region, so as to improve the rationality of energy storage in the supply sub-region, and further analyzes the dynamic changes, so as to make reasonable energy storage adjustments according to the dynamic trend of demand in the supply sub-region, so as to improve the rationality of energy storage in the supply sub-region, and conducts regional decision optimization demand assessment analysis through information fusion and progressive methods, so as to optimize and adjust the energy storage decision of the entire target area, so as to improve the feasibility of energy storage decision in the target area;

[0040] (2) Under the premise that the energy storage decision of the target area meets the standards, the present invention conducts a feasibility supervision analysis of the actual decision from the perspective of actual use of the decision, so as to manage the energy storage decision of the target area according to the information feedback, so as to improve the effectiveness and rationality of the energy storage decision of the target area. At the same time, the power supply risk prediction and evaluation analysis is conducted based on the power consumption of the sub-area, so as to call the power of the sub-area in advance, ensure the supply efficiency of the energy storage in the sub-area, and help reduce the overall power supply risk of the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The present invention will be further described below in conjunction with the accompanying drawings;

[0042] Figure 1 It is a flow chart of the system of the present invention;

[0043] Figure 2 It is a local analysis reference diagram of the first embodiment of the present invention. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] Embodiment 1:

[0046] See also Figure 1 to Figure 2As shown, the present invention is a multi-scenario intelligent decision-making system based on smart substation energy storage, including a smart substation energy storage platform, a regional information unit, a sub-regional supervision unit, a dynamic power trend unit, a regional decision evaluation unit, a feasibility evaluation unit, a supply forecast supervision unit and an energy storage management unit. The smart substation energy storage platform is connected to the regional information unit in a one-way communication manner, the regional information unit is connected to the sub-regional supervision unit in a one-way communication manner, the sub-regional supervision unit is connected to the dynamic power trend unit and the regional decision evaluation unit in a one-way communication manner, the dynamic power trend unit and the regional decision evaluation unit are connected to the energy storage management unit in a one-way communication manner, the regional decision evaluation unit is connected to the feasibility evaluation unit and the supply forecast supervision unit in a one-way communication manner, and the feasibility evaluation unit and the supply forecast supervision unit are connected to the energy storage management unit in a one-way communication manner;

[0047] When the smart substation energy storage platform generates a supervision instruction, it sends the supervision instruction to the regional information unit. After receiving the supervision instruction, the regional information unit immediately collects the historical power information of the target area and sends the historical power information to the sub-regional supervision unit. After receiving the historical power information, the sub-regional supervision unit immediately conducts a dispatch demand supervision evaluation and analysis on the historical power information, so as to understand the power dispatch demand of each sub-region from a historical perspective, which helps to evaluate the energy storage dispatch efficiency of the sub-region, so as to improve the rationality of the energy storage supply to the sub-region. The specific dispatch demand supervision evaluation and analysis process is as follows:

[0048] A monitoring cycle is set and set as a time threshold, the supply area of ​​each energy storage device in the target area within the time threshold is obtained, and the supply area of ​​each energy storage device in the target area is set as a supply sub-area, and the historical power information of each supply sub-area within the time threshold is obtained. The historical power information represents the total number of historical energy storage times of each supply sub-area, and then the single energy storage data of each supply sub-area within the time threshold is obtained. The single energy storage data represents the actual energy storage value of each supply sub-area at a time, and the actual power data of each supply sub-area at a time within the time threshold is obtained at the same time. The actual power data includes the total power consumption and the total line loss, and the sum of the total power consumption and the total line loss is set as the power demand value, and the value obtained by subtracting the actual energy storage value from the power demand value is set as the power matching coefficient. It should be noted that the power matching coefficient is an influencing parameter reflecting the energy storage decision of the supply sub-area;

[0049] The power matching coefficient is compared and analyzed with the stored preset power matching coefficient range, so as to obtain the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range, and the ratio between the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range and the total number of historical energy storage times is set as the dispatch demand ratio. It should be noted that the larger the value of the dispatch demand ratio, the higher the energy storage dispatch demand of the supply sub-area;

[0050] Compare and analyze the dispatch demand ratio with the preset dispatch demand ratio threshold value stored in the internal storage:

[0051] If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is less than 1, a qualified signal is generated and the qualified signal is sent to the dynamic power trend unit and the regional decision evaluation unit;

[0052] If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is greater than or equal to 1, an unqualified signal is generated and sent to the energy storage management unit. After receiving the unqualified signal, the energy storage management unit immediately marks the supply sub-area corresponding to the unqualified signal in red, so as to perform reasonable energy storage management on the supply sub-area corresponding to the unqualified signal, so as to improve the rationality of energy storage in the supply sub-area;

[0053] When a qualified signal is generated, the dynamic power trend unit immediately responds to the qualified signal and performs dynamic curve supervision analysis to make reasonable energy storage adjustments according to the dynamic trend of demand in the supply sub-area and improve the rationality of energy storage in the supply sub-area. The specific dynamic curve supervision analysis process is as follows:

[0054] The power demand values ​​of each supply sub-area corresponding to the qualified signal within the time threshold are obtained, and a coordinate system is established with the energy storage times as the X-axis and the power demand value as the Y-axis. The power demand value curve is drawn by plotting points, and then the change trend value of the power demand value curve is obtained, and the change trend value of the power demand value curve is set as the energy storage allocation coefficient. It should be noted that the larger the value of the energy storage allocation coefficient, the higher the power demand trend of the supply sub-area, and the stronger the demand for energy storage management;

[0055] Compare and analyze the energy storage allocation coefficient with the stored preset energy storage allocation coefficient threshold:

[0056] If the energy storage allocation coefficient is greater than or equal to a preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient greater than the preset energy storage allocation coefficient threshold is set as the demand area, and a demand signal is generated;

[0057] If the energy storage allocation coefficient is less than the preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient greater than the preset energy storage allocation coefficient threshold is set as a normal area, a normal signal is generated, and the demand signal and the normal signal are sent to the energy storage management unit. After receiving the demand signal and the normal signal, the energy storage management unit immediately marks the supply sub-area corresponding to the demand signal as yellow and the supply sub-area corresponding to the normal signal as green, so as to make reasonable energy storage adjustments according to the dynamic trend of demand in the supply sub-area, thereby improving the rationality of energy storage in the supply sub-area;

[0058] When a qualified signal is generated, the regional decision evaluation unit immediately responds to the qualified signal and performs regional decision optimization demand evaluation and analysis to optimize and adjust the energy storage decision of the entire target area to improve the feasibility of the energy storage decision in the target area. The specific regional decision optimization demand evaluation and analysis process is as follows:

[0059] The number of demand areas in the target area within the time threshold is obtained, and the number of supply sub-areas corresponding to the unqualified signals in the target area within the time threshold is obtained, and the sum of the number of demand areas in the target area and the number of supply sub-areas corresponding to the unqualified signals in the target area is set as the scheduling value, and the ratio between the scheduling value and the number of supply sub-areas corresponding to the qualified signals in the target area is set as the scheduling allocation coefficient. It should be noted that the larger the value of the scheduling allocation coefficient, the higher the energy storage decision-making and control demand in the target area;

[0060] Compare and analyze the dispatch allocation coefficient with the preset dispatch allocation coefficient threshold value stored internally:

[0061] If the ratio between the dispatch allocation coefficient and the preset dispatch allocation coefficient threshold is less than 1, a compliance signal is generated and sent to the feasibility assessment unit and the supply forecast supervision unit;

[0062] If the ratio between the dispatching allocation coefficient and the preset dispatching allocation coefficient threshold is greater than or equal to 1, an optimization signal is generated and sent to the energy storage management unit. After receiving the optimization signal, the energy storage management unit immediately displays the preset warning text corresponding to the optimization signal, so as to optimize and regulate the energy storage decision of the target area according to the information feedback, so as to improve the energy storage management efficiency of the target area.

[0063] Embodiment 2:

[0064] When a compliance signal is generated, the feasibility assessment unit responds to the compliance signal and performs actual decision feasibility supervision analysis from the perspective of actual use of the decision, so as to manage the target area energy storage decision according to the information feedback to improve the feasibility of the target area energy storage decision. The specific actual decision feasibility supervision analysis process is as follows:

[0065] The duration between two adjacent energy storage allocation times in the target area within the time threshold is obtained, and it is set as the energy storage use cycle, and the actual power dispatch data in the target area of ​​the energy storage use cycle is obtained. The actual power dispatch data includes the total number of power dispatch times and the total amount of power dispatch. The total number of power dispatch times and the total amount of power dispatch are marked as DD and DZ respectively;

[0066] According to the formula The dispatch feasibility evaluation value is obtained, where a1 and a2 are the preset proportional factor coefficients of the total number of power dispatches and the total amount of power dispatches, respectively. The proportional factor coefficient is used to correct the deviation of various parameters in the formula calculation process, so as to make the calculation result more accurate. A3 is the preset correction factor coefficient. A1, a2 and a3 are all greater than zero. D is the dispatch feasibility evaluation value. The dispatch feasibility evaluation value D is compared and analyzed with the preset dispatch feasibility evaluation value threshold value stored in the internal input:

[0067] If the ratio between the scheduling feasibility evaluation value D and the preset scheduling feasibility evaluation value threshold is less than 1, no signal is generated;

[0068] If the ratio between the dispatch feasibility assessment value D and the preset dispatch feasibility assessment value threshold is greater than or equal to 1, a defect signal is generated and sent to the energy storage management unit. After receiving the defect signal, the energy storage management unit immediately displays the preset warning text corresponding to the defect signal, so as to manage the target area energy storage decision according to the information feedback, so as to improve the feasibility of the target area energy storage decision;

[0069] When a compliance signal is generated, the supply forecast supervision unit responds to the compliance signal and conducts a power supply risk forecast assessment analysis based on the power consumption of the sub-region, so as to call power in advance for the sub-region and ensure the supply efficiency of the energy storage in the sub-region. At the same time, it helps to reduce the overall power supply risk of the target region. The specific power supply risk forecast assessment analysis process is as follows:

[0070] The actual power consumption and actual line loss of each supply sub-area during the energy storage use cycle are obtained, and the sum of the actual power consumption and the actual line loss is set as the actual power consumption value. The actual power consumption value is compared with the stored preset power consumption value threshold. If the actual power consumption value is greater than the preset power consumption value threshold, the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is obtained, and the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is set as the supply risk duration. The supply risk duration is compared with the preset supply risk duration threshold stored internally:

[0071] If the ratio between the supply risk duration and the preset supply risk duration threshold is less than 1, no signal is generated;

[0072] If the ratio between the supply risk duration and the preset supply risk duration threshold is greater than or equal to 1, a risk signal is generated and sent to the energy storage management unit. After receiving the risk signal, the energy storage management unit immediately displays the preset warning text corresponding to the risk signal, so as to pre-order the power of the sub-area corresponding to the risk signal, thereby ensuring the supply efficiency of the energy storage in the sub-area and helping to reduce the overall power supply risk of the target area.

[0073] In summary, the present invention preliminarily conducts dispatch demand supervision and evaluation analysis on historical power information, so as to understand the power dispatch demand of each sub-region from a historical perspective, thereby helping to evaluate the energy storage dispatch efficiency of the sub-region, so as to improve the rationality of energy storage in the supply sub-region, and further analyzes from the dynamic change situation, so as to make reasonable energy storage adjustments according to the dynamic trend of demand in the supply sub-region, improve the rationality of energy storage in the supply sub-region, and conducts regional decision optimization demand evaluation analysis in an information fusion and progressive manner, so as to optimize and adjust the energy storage decision of the entire target area, so as to improve the feasibility of energy storage decision in the target area, and on the premise that the energy storage decision in the target area meets the standard, conduct actual decision feasibility supervision analysis from the perspective of actual use of the decision, so as to manage the energy storage decision in the target area according to the information feedback situation, so as to improve the effectiveness and rationality of the energy storage decision in the target area, and at the same time conduct power supply risk prediction and evaluation analysis from the power consumption of the sub-region, so as to call power in the sub-region in advance, ensure the supply efficiency of energy storage in the sub-region, and help reduce the overall power supply risk of the target area.

[0074] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each group of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

[0075] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula that is close to the actual value. The coefficients in the formula are set by technical personnel in this field according to actual conditions. The above is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited to this. Any technical personnel familiar with the technical field within the technical scope disclosed by the present invention, according to the technical solution and the inventive concept of the present invention, make equivalent replacement or change, which should be covered within the protection scope of the present invention.

Claims

1. A multi-scenario intelligent decision-making system based on smart substation energy storage, characterized in that: It includes the smart substation energy storage platform, regional information unit, sub-regional supervision unit, dynamic power trend unit, regional decision evaluation unit, feasibility evaluation unit, supply forecast supervision unit and energy storage management unit; When the smart substation energy storage platform generates a supervision instruction, it sends the supervision instruction to the regional information unit; The regional information unit is used to collect historical power information of the target area and send the historical power information to the sub-region supervision unit; After receiving the historical power information, the sub-regional supervision unit immediately conducts dispatch demand supervision evaluation and analysis on the historical power information, and performs discrimination processing on the obtained dispatch demand ratio to obtain qualified signals and unqualified signals; When a qualified signal is generated, the dynamic power trend unit immediately responds to the qualified signal to perform dynamic curve supervision analysis and sends the obtained demand signal and normal signal to the energy storage management unit; When a qualified signal is generated, the regional decision evaluation unit immediately responds to the qualified signal to perform regional decision optimization demand evaluation and analysis, and performs discrimination processing on the obtained scheduling allocation coefficient ratio to obtain a qualified signal and an optimization signal; When a compliance signal is generated, the feasibility assessment unit responds to the compliance signal to perform a feasibility supervision analysis of the actual decision from the perspective of actual use of the decision, and sends the obtained defect signal to the energy storage management unit; When a compliance signal is generated, the supply forecasting and supervision unit responds to the compliance signal, performs power supply risk forecasting and assessment analysis based on the power consumption of the sub-area, and sends the obtained risk signal to the energy storage management unit; The dispatch demand supervision evaluation and analysis process of the sub-region supervision unit is as follows: S1: Set a monitoring cycle and set it as a time threshold, obtain the supply area of ​​each energy storage device in the target area within the time threshold, and set the supply area of ​​each energy storage device in the target area as a supply sub-area, obtain the historical power information of each supply sub-area within the time threshold, the historical power information represents the total number of historical energy storage times of each supply sub-area, and then obtain the single energy storage data of each supply sub-area within the time threshold, the single energy storage data represents the actual energy storage value of each supply sub-area at a time, and at the same time obtain the actual power data of each supply sub-area at a time within the time threshold, the actual power data includes the total power consumption and the total line loss, and the sum of the total power consumption and the total line loss is set as the power demand value, and the value obtained by subtracting the actual energy storage value from the power demand value is set as the power matching coefficient; S2: Compare and analyze the power matching coefficient with the stored preset power matching coefficient range, and then obtain the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range, and set the ratio between the number of energy storage times corresponding to the power matching coefficient being outside the preset power matching coefficient range and the total number of historical energy storage times as the dispatch demand ratio; S3: Compare and analyze the dispatch demand ratio with the preset dispatch demand ratio threshold value stored in the internal storage: If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is less than 1, a qualified signal is generated; If the ratio between the dispatch demand ratio and the preset dispatch demand ratio threshold is greater than or equal to 1, a failure signal is generated; The dynamic curve supervision analysis process of the dynamic power trend unit is as follows: Obtain the power demand value of each supply sub-area corresponding to the qualified signal within the time threshold, establish a coordinate system with the energy storage times as the X-axis and the power demand value as the Y-axis, draw a power demand value curve by plotting points, and then obtain the change trend value of the power demand value curve, and set the change trend value of the power demand value curve as the energy storage allocation coefficient; Compare and analyze the energy storage allocation coefficient with the stored preset energy storage allocation coefficient threshold: If the energy storage allocation coefficient is greater than or equal to a preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient greater than the preset energy storage allocation coefficient threshold is set as the demand area, and a demand signal is generated; If the energy storage allocation coefficient is less than the preset energy storage allocation coefficient threshold, the supply sub-area corresponding to the energy storage allocation coefficient greater than the preset energy storage allocation coefficient threshold is set as a normal area, and a normal signal is generated; The regional decision optimization demand evaluation and analysis process of the regional decision evaluation unit is as follows: The number of demand areas in the target area within the time threshold is obtained, and the number of supply sub-areas corresponding to unqualified signals in the target area within the time threshold is obtained, and the sum of the number of demand areas in the target area and the number of supply sub-areas corresponding to unqualified signals in the target area is set as the scheduling value, and the ratio between the scheduling value and the number of supply sub-areas corresponding to qualified signals in the target area is set as the scheduling allocation coefficient; Compare and analyze the dispatch allocation coefficient with the preset dispatch allocation coefficient threshold value stored internally: If the ratio between the scheduling allocation coefficient and the preset scheduling allocation coefficient threshold is less than 1, a compliance signal is generated; If the ratio between the scheduling allocation coefficient and the preset scheduling allocation coefficient threshold is greater than or equal to 1, an optimization signal is generated; The actual decision-making feasibility supervision analysis process of the feasibility assessment unit is as follows: The duration between two adjacent energy storage allocation times in the target area within the time threshold is obtained, and it is set as the energy storage use cycle, and the actual power dispatch data in the target area of ​​the energy storage use cycle is obtained. The actual power dispatch data includes the total number of power dispatch times and the total amount of power dispatch. The total number of power dispatch times and the total amount of power dispatch are marked as DD and DZ respectively; According to the formula The dispatch feasibility evaluation value is obtained, where a1 and a2 are respectively the preset proportional factor coefficients of the total number of power dispatches and the total amount of power dispatches, a3 is the preset correction factor coefficient, a1, a2 and a3 are all greater than zero, and D is the dispatch feasibility evaluation value. The dispatch feasibility evaluation value D is compared and analyzed with the preset dispatch feasibility evaluation value threshold value stored in the internal input: If the ratio between the scheduling feasibility evaluation value D and the preset scheduling feasibility evaluation value threshold is less than 1, no signal is generated; If the ratio between the scheduling feasibility evaluation value D and the preset scheduling feasibility evaluation value threshold is greater than or equal to 1, a defect signal is generated; The power supply risk forecasting, evaluation and analysis process of the supply forecasting and supervision unit is as follows: The actual power consumption and actual line loss of each supply sub-area during the energy storage use cycle are obtained, and the sum of the actual power consumption and the actual line loss is set as the actual power consumption value. The actual power consumption value is compared with the stored preset power consumption value threshold. If the actual power consumption value is greater than the preset power consumption value threshold, the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is obtained, and the duration corresponding to the actual power consumption value being greater than the preset power consumption value threshold is set as the supply risk duration. The supply risk duration is compared with the preset supply risk duration threshold stored internally: If the ratio between the supply risk duration and the preset supply risk duration threshold is less than 1, no signal is generated; If the ratio between the supply risk duration and the preset supply risk duration threshold is greater than or equal to 1, a risk signal is generated.

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