Method, device and equipment for evaluating regulation potential priority of power distribution area

Abstract

The invention provides a power distribution area regulation potential priority evaluation method, device and equipment, and relates to the technical field of power distribution. The method comprises the following steps: acquiring data of an adjustable resource index in a target area, data of an operation state index of the target area, and data of a power supply capability index of the target area; wherein the adjustable resources comprise electric vehicle cluster electric quantity, adjustable flexible load capacity and adjustable energy storage electric quantity, the operation state comprises voltage deviation, current unbalance degree and power factor, and the power supply capacity comprises the maximum load rate of the transformer area, the line loss rate of the transformer area and 0.4 kV power supply radius; determining the weight of each index in an evaluation matrix based on an analytic hierarchy process, wherein the evaluation matrix is constructed by an adjustable resource index, an operation state index and a power supply capability index; and based on the data of the adjustable resource index, the data of the operation state index, the data of the power supply capability index and the weight of each index in the evaluation matrix, determining the adjustment potential priority of each transformer area. According to the invention, evaluation can be accurately carried out.

Description

Technical Field

[0001] The present invention relates to the field of power distribution technology, and in particular to a method, device and equipment for evaluating the priority of regulation potential of a power distribution station area. Background Art

[0002] As traditional power systems evolve toward distributed systems, low-voltage substations, serving as the terminal link between users and the distribution network, will increasingly connect to a variety of flexible resources, including electric vehicles and energy storage. Prioritizing the regulation potential of low-voltage substations is fundamental to enabling both routine and temporary access to power and loads.

[0003] The current assessment system for the resource response potential of power distribution stations suffers from a single-dimensional problem. Existing technologies often base their assessments on the maximum load of the substation and the installed capacity of distributed photovoltaic power generation, failing to fully consider the constraints imposed by the coupled multi-dimensional operating characteristics of the distribution substation on regulation capacity. For example, the lack of systematic assessment of key operating parameters such as substation voltage deviation, three-phase imbalance, load factor, and line loss rate leads to significant deviations in the regulation margin calculation model. Furthermore, the neglect of the correlation between the distribution network topology and dynamic load characteristics leads to a mismatch between resource deployment strategies and the real-time operating status of the substation.

[0004] However, ignoring the above issues can easily lead to problems such as short-term overload, irrational increase in line loss rate and decrease in voltage compliance rate during the regulation process. In severe cases, it will lead to deterioration of power supply quality and transient stability risks of the regional power grid. Summary of the Invention

[0005] The embodiments of the present invention provide a method, apparatus and device for evaluating the priority of regulation potential of a power distribution station area, so as to solve the problem of inaccurate evaluation in current evaluation methods.

[0006] In a first aspect, an embodiment of the present invention provides a method for evaluating priority of regulation potential of a distribution station area, including:

[0007] Obtain data on adjustable resource indicators within the target substation, data on operating status indicators for the target substation, and data on power supply capacity indicators for the target substation. Adjustable resources include electric vehicle cluster power, adjustable flexible load, and adjustable energy storage power. Operating status includes voltage deviation, current imbalance, and power factor. Power supply capacity includes the substation's maximum load rate, substation line loss rate, and 0.4kV power supply radius.

[0008] The weight of each indicator in the evaluation matrix is ​​determined based on the hierarchical analysis method. The evaluation matrix is ​​constructed by adjustable resource indicators, operating status indicators and power supply capacity indicators.

[0009] Based on the data of adjustable resource indicators, operating status indicators, power supply capacity indicators, and the weights of each indicator in the evaluation matrix, the regulation potential priority of each substation is determined.

[0010] In some possible implementations, the electric vehicle cluster power is determined based on a constructed electric vehicle cluster control model;

[0011] The electric vehicle cluster control model includes a battery power model at any time constructed based on the charging power and discharging power of each electric vehicle, a binary parameter model at any time constructed based on the charging and discharging status of each electric vehicle, and a power change model based on the power change of the electric vehicle cluster at any time.

[0012] In some possible implementations, the adjustable flexible load amount is determined based on a constructed air conditioning control model;

[0013] The air conditioning control model is constructed based on the indoor temperature at different times, the equivalent heat capacity and equivalent resistance of the room where the air conditioner is located, and the cooling efficiency of the air conditioner.

[0014] In some possible implementations, the adjustable energy storage capacity is determined based on a constructed energy storage charging and discharging model;

[0015] The energy storage charging and discharging model includes the charging and discharging power of the energy storage at any time and the amount of electricity at any time.

[0016] In some possible implementations, the voltage deviation is determined based on the allowable deviation range between the 0.4 kV line end voltage in the substation area and the 220 kV single-phase power supply voltage;

[0017] The current imbalance is determined based on the difference between the effective value of each phase current and the average value of the three-phase current;

[0018] The power factor is determined based on the real power and apparent power.

[0019] In some possible implementations, the maximum load factor of the substation is determined based on the maximum annual load of the distribution transformer and the rated capacity of the distribution transformer;

[0020] The line loss rate of the substation is determined based on the sum of the power supply statistics on the transformer high-voltage side and the power sales statistics on the user side;

[0021] The 0.4kV power supply radius is determined based on the longest 0.4kV outgoing line length in the substation area.

[0022] In some possible implementations, the weights of the indicators in the evaluation matrix are determined based on the analytic hierarchy process, including:

[0023] Normalize the adjustable resource indicators, operating status indicators, and power supply capacity indicators corresponding to different time periods in the target substation area to obtain the index values ​​of each indicator;

[0024] Establish an evaluation matrix based on the indicator values ​​of each indicator;

[0025] The weight of each indicator in the evaluation matrix is ​​determined based on the pairwise comparison method and the Delphi method.

[0026] In some possible implementations, the regulation potential priority of each substation is determined based on the data of the adjustable resource indicator, the data of the operating status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix, including:

[0027] Based on the index values ​​of the adjustable resource indicators, the index values ​​of the operating status indicators, the index values ​​of the power supply capacity indicators, and the weights corresponding to the index values, the regulation potential priority of each substation is determined.

[0028] In a second aspect, an embodiment of the present invention provides a device for evaluating priority of regulation potential of a distribution station area, comprising:

[0029] The data acquisition module is used to obtain data on adjustable resource indicators in the target substation, data on operating status indicators of the target substation, and data on power supply capacity indicators of the target substation. Among them, adjustable resources include electric vehicle cluster power, adjustable flexible load and adjustable energy storage power; operating status includes voltage deviation, current imbalance and power factor; power supply capacity includes maximum load rate of the substation, line loss rate of the substation and 0.4kV power supply radius;

[0030] A weight determination module is used to determine the weight of each indicator in the evaluation matrix based on the hierarchical analysis method. The evaluation matrix is ​​constructed by adjustable resource indicators, operating status indicators and power supply capacity indicators;

[0031] The priority determination module is used to determine the regulation potential priority of each substation based on the data of adjustable resource indicators, the data of operation status indicators, the data of power supply capacity indicators, and the weight of each indicator in the evaluation matrix.

[0032] In a third aspect, an embodiment of the present invention provides an electronic device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method in the first aspect or any possible implementation of the first aspect is implemented.

[0033] In order to overcome the problem that the factors considered in the current evaluation method are relatively single and cannot be accurately evaluated, in the embodiment of the present invention, it is necessary to first obtain multi-dimensional data, including data on adjustable resource indicators, data on operating status indicators, and data on power supply capacity indicators, so that a comprehensive consideration of multi-dimensional characteristics can be made. Then, the weight of each indicator in the evaluation matrix is ​​determined based on the hierarchical analysis method. Finally, based on the data on adjustable resource indicators, data on operating status indicators, data on power supply capacity indicators, and the weight of each indicator in the evaluation matrix, the regulation potential priority of each substation is determined. By systematically integrating the dynamic resource output characteristics of the substation, real-time operating boundary conditions, and power supply quality constraint indicators, a multi-dimensional coupling analysis framework of "source-grid-load-storage" is constructed, so that the regulation potential priority of each substation can be evaluated more comprehensively and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a flowchart of the implementation of the method for evaluating the priority of regulation potential of a distribution station area provided by an embodiment of the present invention;

[0035] Figure 2 Schematic diagram of various evaluation indicators provided by an embodiment of the present invention;

[0036] Figure 3 1 is a schematic diagram of the structure of a device for evaluating the priority of regulation potential of a distribution station area provided by an embodiment of the present invention;

[0037] Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0039] As described in the background, low-voltage substations, serving as the terminal link between users and the distribution network, will be connected to a large number of flexible resources, including electric vehicles and energy storage. Prioritizing the regulation potential of low-voltage substations is fundamental to implementing both routine and temporary access to power and loads.

[0040] Currently, the substation resource response potential assessment system suffers from a single-dimensional problem, failing to fully consider the constraining effects of the coupling of the multi-dimensional operating characteristics of distribution substations on regulation capacity. For example, there is a lack of systematic assessment of key operating parameters such as substation voltage deviation, three-phase imbalance, load factor, and line loss rate, resulting in significant deviations in the regulation margin calculation model. Furthermore, the correlation between the distribution network topology and dynamic load characteristics is ignored, resulting in a mismatch between resource deployment strategies and the real-time operating status of the substation. This can easily lead to problems such as short-term overloads, irrational increases in line loss rates, and decreased voltage compliance rates during the regulation process. In severe cases, this can lead to deterioration in power supply quality and transient stability risks for the regional power grid.

[0041] See also Figure 1 , which shows a flow chart for implementing a method for evaluating the priority of regulation potential of a distribution station area provided by an embodiment of the present invention, as detailed below:

[0042] S110 , obtaining data on adjustable resource indicators in the target substation, data on operating status indicators in the target substation, and data on power supply capacity indicators in the target substation.

[0043] Among them, see Figure 2 The adjustable resources include electric vehicle cluster power, adjustable flexible load and adjustable energy storage power. The operating status includes voltage deviation, current imbalance and power factor. The power supply capacity includes the maximum load rate of the substation, the line loss rate of the substation and the 0.4kV power supply radius.

[0044] In some embodiments, the electric vehicle cluster power is determined based on a constructed electric vehicle cluster control model. The electric vehicle cluster control model includes a battery power model at any time constructed based on the charging power and discharging power of each electric vehicle, a binary parameter model at any time constructed based on the charging and discharging status of each electric vehicle, and a power change model constructed based on the power change of the electric vehicle cluster at any time.

[0045] In this embodiment, for electric vehicles that do not require fast charging, the time they spend docked at the charging pile is much longer than their actual charging time. Therefore, the charging and discharging power of the electric vehicles can be adjusted to participate in the load regulation of the substation.

[0046] Based on the coupling relationship between the charging and discharging power and battery capacity of a single electric vehicle, the following single electric vehicle power model can be constructed:

[0047]

[0048] in, and They represent the charging power and discharging power of electric vehicle n in period t respectively; and They represent the upper limit of charging power and the upper limit of discharging power of electric vehicle n respectively; and They represent the battery capacity of electric vehicle n in period t and the previous period, η ch and η dis They represent charging efficiency and discharging efficiency respectively; Δt represents the scheduling time; and They represent the battery power safety boundaries of electric vehicle n respectively.

[0049] The electric vehicle charging station will record the charging and discharging data of the electric vehicles it serves every day:

[0050]

[0051] in: and are the time it takes for electric vehicle n to reach and leave the charging pile, s min,n and s max,n are the upper and lower bounds of the battery capacity of the electric vehicle n, respectively; and are the power of electric vehicle n when it arrives at and leaves the charging pile; and are the maximum charging and discharging powers of electric vehicle n respectively.

[0052] In addition, the binary parameter model X is introduced n,t Indicates the charging and discharging status of electric vehicle n:

[0053]

[0054] Among them, X n,t 0 means the electric car is not on the charging station, X n,t A value of 1 indicates that the electric vehicle is on a charging station.

[0055] Through the analysis of a single electric vehicle above, the power model of a single electric vehicle can be extended to the power model of an electric vehicle cluster:

[0056]

[0057]

[0058] in, and are the maximum charge and discharge power of the electric vehicle cluster in period t respectively; and are the minimum and maximum power of the electric vehicle cluster in period t.

[0059] Considering that the arrival and departure of electric vehicles in each period will cause changes in the power of the cluster, the power change model is introduced. Represents the change in the amount of electricity consumed by the electric vehicle cluster during period t:

[0060]

[0061] Among them, N EV For electric vehicles, It means that during time period t, the battery level of the electric vehicle arriving at the charging station is greater than the battery level of the electric vehicle leaving the charging station.

[0062] Introduction Finally, the generalized model of electric vehicle cluster is further expressed as:

[0063]

[0064] in: Model parameters such as the charging data recorded by the charging pile can be obtained.

[0065] In some embodiments, the adjustable flexible load is determined based on a constructed air conditioning control model, which is constructed based on the indoor temperature at different times, the equivalent heat capacity and equivalent resistance of the room where the air conditioner is located, and the cooling efficiency of the air conditioner.

[0066] In this embodiment, the user-adjustable flexible load is mainly air-conditioning equipment.

[0067] Air conditioner operating characteristics are influenced by numerous parameters, including equivalent thermal resistance, equivalent heat capacity, cooling power, set temperature, and outdoor temperature. Equivalent thermal resistance and equivalent heat capacity represent the heat dissipation and heat storage capabilities of the building in which the air conditioner is located, respectively. Buildings of varying area have varying heat storage and heat dissipation capacities. Cooling power per unit time depends on air conditioner performance, while set temperature depends on user habits.

[0068] When air conditioning load is involved in regulation, taking user comfort into consideration and combining the building thermodynamic model, the air conditioning regulation model can be expressed as:

[0069]

[0070] Where: and are the indoor temperatures in period t-1 and period t respectively; and are the minimum and maximum indoor temperatures that meet user comfort requirements; P max and P min are the minimum and maximum cooling power of the air conditioner respectively; R and C are the equivalent heat capacity and equivalent thermal resistance of the room where the air conditioner is located respectively; η is the cooling efficiency of the air conditioner; Δt is the time interval for the air conditioner to participate in the regulation, P t-1 is the power of the air conditioner during period t-1.

[0071] In some embodiments, the adjustable energy storage capacity is determined based on a constructed energy storage charge and discharge model, which includes the charge and discharge power of the energy storage at any time and the capacity at any time.

[0072] In this embodiment, energy storage is an important energy device in the substation, and its charging and discharging model is as follows:

[0073]

[0074] Where: P tch and P t dis are the charging and discharging power of the energy storage in period t; β b is a 0-1 variable, indicating that charging and discharging cannot be performed simultaneously; η ch and η dis are the charging and discharging power of energy storage respectively; P t b is the charge / discharge power of the energy storage in period t after considering the charge / discharge efficiency; is the amount of energy stored in period t; Δt is the control time interval; E min and E max They are the minimum / maximum power limits of energy storage respectively.

[0075] In some embodiments, the voltage deviation is determined based on the allowable offset range of the 0.4kV line end voltage in the substation and the 220kV single-phase power supply voltage, the current imbalance is determined based on the difference between the effective value of each phase current and the average value of the three-phase current, and the power factor is determined based on the active power and the apparent power.

[0076] In this embodiment, regarding voltage deviation, it is currently stipulated that under normal operation, the 220kV single-phase power supply voltage is allowed to deviate from the rated voltage by +7% to -10%. Therefore, it is defined as follows:

[0077]

[0078] Among them, U dvi is the voltage deviation, and u is the 0.4kV line end voltage in the substation.

[0079] In this embodiment, the three-phase current imbalance degree of the substation is:

[0080]

[0081] Among them, I A , I B , I C are the effective values ​​of the three-phase currents, and Iavg is the average value of the three-phase currents.

[0082] In this embodiment, the power factor of the substation is:

[0083]

[0084] Among them, P is the active power and S is the apparent power.

[0085] In some embodiments, the maximum load rate of the station is:

[0086]

[0087] Among them, Pmax is the maximum annual load of the distribution transformer, S N is the rated capacity of the distribution transformer.

[0088] The line loss rate in the substation area is:

[0089]

[0090] Among them, E S E is the power supply counted on the high-side of the transformer. D It is the sum of electricity sales counted on the user side.

[0091] The setting method of 0.4kV power supply radius is as follows: Since the line power supply radius is too long, it will cause problems such as voltage drop and loss increase. The longest line length of the 0.4kV outgoing line in the substation area is used as the 0.4kV line power supply radius of the substation area, which is L max .

[0092] S120. Determine the weight of each indicator in the evaluation matrix based on the hierarchical analysis method.

[0093] Among them, the evaluation matrix is ​​constructed by adjustable resource indicators, operating status indicators and power supply capacity indicators.

[0094] The Analytic Hierarchy Process (AHP) is a simple method for making decisions on some relatively complex and ambiguous issues. It is particularly suitable for those issues that are difficult to fully analyze quantitatively.

[0095] In some embodiments, since the numerical ranges of various indicators are different, in order to accurately measure each indicator, it is necessary to first normalize the adjustable resource indicators, operating status indicators, and power supply capacity indicators corresponding to different time periods in the target substation to obtain the indicator values ​​of each indicator.

[0096] Then, an evaluation matrix is ​​established based on the indicator values ​​of each indicator.

[0097] Finally, the weight of each indicator in the evaluation matrix was determined based on the pairwise comparison method and the Delphi method.

[0098] In this embodiment, the original index values ​​of the evaluation indicators corresponding to different time periods of each distribution station area are normalized to obtain the index values ​​of the evaluation indicators corresponding to each station area:

[0099]

[0100] in, is the index value of the jth evaluation index corresponding to the i-th station area, is the original index value of the jth index corresponding to the i-th station area, is the upper limit value of the jth evaluation index corresponding to the i-th station area, is the lower limit of the jth evaluation index corresponding to the i-th station area, Indicates that the indicator type of the jth evaluation indicator corresponding to the i-th station is a positive indicator type, The indicator type of the j-th evaluation indicator corresponding to the i-th substation is a reverse indicator type.

[0101] After normalization, the index values ​​corresponding to the ith station area are shown in Table 1:

[0102] Table 1 Normalization results of various indicators

[0103]

[0104]

[0105] After normalization, the weight of each indicator can be determined.

[0106] The setting of indicator weights is a crucial step in comprehensive evaluation, and their rationality is directly related to the credibility of the evaluation results. The present invention employs pairwise comparison and the Delphi method for weighting. A 1-9 scale is used to construct a judgment matrix based on the importance of factors. The row vectors of the judgment matrix are geometrically averaged and normalized. The resulting row vectors, or weight vectors, are then used to determine the weights of each indicator.

[0107] After the above calculations, the weights of each indicator are shown in Table 2, which are:

[0108] Table 2 Weights of various indicators

[0109]

[0110] S130. Determine the regulation potential priority of each substation based on the data of the adjustable resource indicator, the data of the operating status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix.

[0111] In step S120, the index values ​​of the adjustable resource indicators, the index values ​​of the operating status indicators, the index values ​​of the power supply capacity indicators, and the weights corresponding to each index value are determined. Then, calculations can be performed based on the index values ​​and weights corresponding to each indicator to obtain a comprehensive score for the regulation potential of each substation.

[0112] Specifically, the comprehensive score of the regulation potential of the i-th substation is:

[0113]

[0114] By sorting the comprehensive scores of the substations, we can obtain the priority ranking results of their adjustable potential.

[0115] To overcome the problem of current evaluation methods considering relatively few factors and thus failing to accurately evaluate, the evaluation method provided by the present invention first requires obtaining multi-dimensional data, including data on adjustable resource indicators, operating status indicators, and power supply capacity indicators, thereby enabling a comprehensive consideration of multi-dimensional characteristics. Then, the weights of each indicator in the evaluation matrix are determined based on the analytic hierarchy process. Finally, the regulation potential priority of each substation is determined based on the data on adjustable resource indicators, operating status indicators, power supply capacity indicators, and the weights of each indicator in the evaluation matrix. By systematically integrating the dynamic resource output characteristics of the substation, real-time operating boundary conditions, and power supply quality constraint indicators, a multi-dimensional coupled analysis framework of "source-grid-load-storage" is constructed. This enables a coordinated quantitative analysis of adjustable resource capacity characteristics, real-time grid operating conditions, and power supply quality assurance boundaries, thereby enabling a more comprehensive and accurate evaluation of the regulation potential priority of each substation. The present invention can significantly improve the precise quantification of adjustable resources in distribution substations under high-renewable energy penetration scenarios, providing a decision-making basis for flexible grid regulation that balances economic efficiency and security.

[0116] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0117] The following are device embodiments of the present invention. For details not fully described therein, reference may be made to the corresponding method embodiments described above.

[0118] Figure 3 The following is a schematic diagram showing the structure of a device for evaluating the priority of regulation potential of a distribution station area provided by an embodiment of the present invention. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0119] like Figure 3 As shown, the power distribution area regulation potential priority evaluation device 300 includes:

[0120] The data acquisition module 310 is used to obtain data on adjustable resource indicators in the target substation, data on operating status indicators of the target substation, and data on power supply capacity indicators of the target substation; wherein the adjustable resources include electric vehicle cluster power, adjustable flexible load, and adjustable energy storage power; the operating status includes voltage deviation, current imbalance, and power factor; and the power supply capacity includes the maximum load rate of the substation, the line loss rate of the substation, and the 0.4kV power supply radius;

[0121] A weight determination module 320 is used to determine the weight of each indicator in the evaluation matrix based on the hierarchical analysis method, where the evaluation matrix is ​​constructed by the adjustable resource indicator, the operating status indicator, and the power supply capacity indicator;

[0122] The priority determination module 330 is used to determine the regulation potential priority of each substation based on the data of the adjustable resource indicator, the data of the operation status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix.

[0123] In one possible implementation, the electric vehicle cluster power is determined based on the constructed electric vehicle cluster control model;

[0124] The electric vehicle cluster control model includes a battery power model at any time constructed based on the charging power and discharging power of each electric vehicle, a binary parameter model at any time constructed based on the charging and discharging status of each electric vehicle, and a power change model based on the power change of the electric vehicle cluster at any time.

[0125] In one possible implementation, the amount of adjustable flexible load is determined based on a constructed air conditioning control model;

[0126] The air conditioning control model is constructed based on the indoor temperature at different times, the equivalent heat capacity and equivalent resistance of the room where the air conditioner is located, and the cooling efficiency of the air conditioner.

[0127] In one possible implementation, the adjustable energy storage capacity is determined based on a constructed energy storage charging and discharging model;

[0128] The energy storage charging and discharging model includes the charging and discharging power of the energy storage at any time and the amount of electricity at any time.

[0129] In one possible implementation, the voltage deviation is determined based on the allowable deviation range between the 0.4 kV line end voltage in the substation area and the 220 kV single-phase power supply voltage;

[0130] The current imbalance is determined based on the difference between the effective value of each phase current and the average value of the three-phase current;

[0131] The power factor is determined based on the real power and apparent power.

[0132] In one possible implementation, the maximum load factor of the substation is determined based on the maximum annual load of the distribution transformer and the rated capacity of the distribution transformer;

[0133] The line loss rate of the substation is determined based on the sum of the power supply statistics on the transformer high-voltage side and the power sales statistics on the user side;

[0134] The 0.4kV power supply radius is determined based on the longest 0.4kV outgoing line length in the substation area.

[0135] In one possible implementation, the weight determination module 320 is configured to normalize the adjustable resource index, the operating status index, and the power supply capability index corresponding to different time periods in the target substation to obtain an index value for each index;

[0136] Establish an evaluation matrix based on the indicator values ​​of each indicator;

[0137] The weight of each indicator in the evaluation matrix is ​​determined based on the pairwise comparison method and the Delphi method.

[0138] In one possible implementation, the priority determination module 330 is used to determine the regulation potential priority of each substation based on the indicator values ​​of the adjustable resource indicators, the indicator values ​​of the operating status indicators, the indicator values ​​of the power supply capacity indicators, and the weights corresponding to the indicator values.

[0139] To overcome the problem of current evaluation methods considering a single factor and thus failing to accurately evaluate, the evaluation device provided by the present invention first acquires multi-dimensional data, including data on adjustable resource indicators, operating status indicators, and power supply capacity indicators, thereby enabling a comprehensive consideration of multi-dimensional characteristics. Then, the weights of each indicator in the evaluation matrix are determined based on the analytic hierarchy process. Finally, the regulation potential priority of each substation is determined based on the data on adjustable resource indicators, operating status indicators, power supply capacity indicators, and the weights of each indicator in the evaluation matrix. By systematically integrating the dynamic resource output characteristics of the substation, real-time operating boundary conditions, and power supply quality constraint indicators, a multi-dimensional coupled analysis framework of "source-grid-load-storage" is constructed. This enables a coordinated quantitative analysis of adjustable resource capacity characteristics, real-time grid operating conditions, and power supply quality assurance boundaries, thereby enabling a more comprehensive and accurate evaluation of the regulation potential priority of each substation. This invention can significantly improve the precise quantification of adjustable resources in distribution substations under high-renewable energy penetration scenarios, providing a decision-making basis for flexible grid regulation that balances economic efficiency and security.

[0140] Figure 4 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes a processor 40 and a memory 41. The memory 41 stores a computer program 42. When the processor 40 executes the computer program 42, the steps of the above-described method embodiments are implemented. Alternatively, when the processor 40 executes the computer program 42, the functions of the modules / units in the above-described device embodiments are implemented.

[0141] For example, the computer program 42 may be divided into one or more modules / units, which are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the electronic device 4.

[0142] The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation on the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device 4 may also include input and output devices, network access devices, buses, etc.

[0143] For the sake of convenience and brevity, the division of the above functional modules / units is only used as an example. In actual applications, the above functions can be assigned to different functional modules / units as needed. The above modules / units can be implemented in the form of hardware, software, or a combination of hardware and software.

[0144] In the above embodiments, the descriptions of each embodiment have their own focus. For parts not described or recorded in detail in one embodiment, please refer to the relevant descriptions of other embodiments. Unless otherwise specified or there is a logical conflict, the terms and / or descriptions between different embodiments are consistent and can be referenced to each other. The technical features of different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0145] The embodiments described above are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention, and should all be included in the scope of protection of the present invention.

Claims

1. A method for evaluating the priority of regulation potential of a distribution station area, characterized in that: include: Obtain data on adjustable resource indicators within the target substation, data on operating status indicators for the target substation, and data on power supply capacity indicators for the target substation. Adjustable resources include electric vehicle cluster power, adjustable flexible load, and adjustable energy storage power. Operating status includes voltage deviation, current imbalance, and power factor. Power supply capacity includes the substation's maximum load rate, substation line loss rate, and 0.4kV power supply radius. Determining the weight of each indicator in an evaluation matrix based on a hierarchical analysis method, wherein the evaluation matrix is ​​constructed by the adjustable resource indicator, the operating status indicator, and the power supply capability indicator; Based on the data of the adjustable resource indicator, the data of the operating status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix, the regulation potential priority of each substation is determined.

2. The method for evaluating the priority of regulation potential of distribution substations according to claim 1, characterized in that: The electric vehicle cluster power is determined based on the constructed electric vehicle cluster control model; The electric vehicle cluster control model includes a battery power model at any time constructed based on the charging power and discharging power of each electric vehicle, a binary parameter model at any time constructed based on the charging and discharging status of each electric vehicle, and a power change model based on the power change of the electric vehicle cluster at any time.

3. The method for evaluating the priority of regulation potential of distribution substations according to claim 1, characterized in that: The adjustable flexible load is determined based on the constructed air conditioning control model; The air conditioning control model is constructed based on the indoor temperature at different times, the equivalent heat capacity and equivalent resistance of the room where the air conditioner is located, and the cooling efficiency of the air conditioner.

4. The method for evaluating the priority of regulation potential of distribution substations according to claim 1, characterized in that: The adjustable energy storage capacity is determined based on the constructed energy storage charge and discharge model; The energy storage charging and discharging model includes the charging and discharging power of the energy storage at any time and the amount of electricity at any time.

5. The method for evaluating the priority of regulation potential of a distribution station area according to any one of claims 1 to 4, characterized in that: The voltage deviation is determined based on the allowable deviation range of the 0.4kV line end voltage and the 220kV single-phase power supply voltage in the substation area; The current imbalance is determined based on the difference between the effective value of each phase current and the average value of the three-phase current; The power factor is determined based on real power and apparent power.

6. The method for evaluating the priority of regulation potential of a power distribution area according to any one of claims 1 to 4, characterized in that: The maximum load factor of the substation is determined based on the maximum annual load of the distribution transformer and the rated capacity of the distribution transformer; The line loss rate of the substation area is determined based on the sum of the power supply statistics on the transformer high-voltage side and the power sales statistics on the user side; The 0.4kV power supply radius is determined based on the longest 0.4kV outgoing line length in the substation area.

7. The method for evaluating the priority of regulation potential of distribution substations according to claim 1, characterized in that: The weight of each indicator in the evaluation matrix is ​​determined based on the hierarchical analysis method, including: Normalize the adjustable resource indicators, operating status indicators, and power supply capacity indicators corresponding to different time periods in the target substation area to obtain the index values ​​of each indicator; Establishing an evaluation matrix based on the indicator values ​​of each of the indicators; The weight of each indicator in the evaluation matrix is ​​determined based on the pairwise comparison method and the Delphi method.

8. The method for evaluating the priority of regulation potential of distribution substations according to claim 7, characterized in that: The determining of the regulation potential priority of each substation based on the data of the adjustable resource indicator, the data of the operating status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix includes: Based on the index values ​​of the adjustable resource indicators, the index values ​​of the operating status indicators, the index values ​​of the power supply capacity indicators, and the weights corresponding to the index values, the regulation potential priority of each substation is determined.

9. A device for evaluating the priority of regulation potential of a distribution station area, characterized in that: include: The data acquisition module is used to obtain data on adjustable resource indicators in the target substation, data on operating status indicators of the target substation, and data on power supply capacity indicators of the target substation. Among them, adjustable resources include electric vehicle cluster power, adjustable flexible load and adjustable energy storage power; operating status includes voltage deviation, current imbalance and power factor; power supply capacity includes maximum load rate of the substation, line loss rate of the substation and 0.4kV power supply radius; A weight determination module, configured to determine the weight of each indicator in an evaluation matrix based on a hierarchical analysis method, wherein the evaluation matrix is ​​constructed by the adjustable resource indicator, the operating status indicator, and the power supply capability indicator; The priority determination module is used to determine the regulation potential priority of each substation based on the data of the adjustable resource indicator, the data of the operating status indicator, the data of the power supply capacity indicator, and the weight of each indicator in the evaluation matrix.

10. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 8 is implemented.

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