Evaluation processing method of voltage supporting capability, electronic equipment and storage medium

Abstract

The embodiment of the invention provides a voltage supporting capability evaluation processing method, electronic equipment and a storage medium. The method comprises the steps of obtaining a plurality of evaluation index values of a to-be-evaluated power distribution network based on a distributed power supply; based on a subjective and objective weighting method, determining an improved weight corresponding to each evaluation index; according to the improved weight corresponding to each evaluation index and each evaluation index value, determining an initial evaluation result of the voltage supporting capability of the to-be-evaluated power distribution network; according to a plurality of preset voltage support capability grade intervals, determining a target voltage support capability grade interval corresponding to the initial evaluation result of the voltage support capability, and obtaining an initial grading result of the voltage support capability of the to-be-evaluated power distribution network; and according to the initial evaluation result of the voltage support capability and the initial grading result of the voltage support capability, determining a target evaluation result of the voltage support capability of the to-be-evaluated power distribution network. The method is used for achieving the technical effect of improving the evaluation accuracy of the voltage supporting capability of the power distribution network.

Description

Technical Field

[0001] The present application relates to the field of voltage support capacity evaluation, and particularly to an evaluation processing method, an electronic device, and a storage medium for voltage support capacity. Background Art

[0002] Currently, the effective integration of renewable energy mainly relies on the connection of distributed generation devices to the power grid system. Due to the complexity of calculation and the high difficulty of planning and configuration in the distribution network, its voltage support capacity becomes more difficult to predict under the influence of the reactive power uncertainty provided by distributed generation devices. Voltage support capacity is the key to ensuring the stable operation of the distribution network control system. The evaluation of voltage support capacity helps to identify the risk of reactive power sufficiency in the operation of the distribution network, provides scientific theoretical support and data reference for dispatchers, and then guides dispatch operations, and provides an important basis for the planning and configuration of distributed generation devices connected to the power grid. Therefore, it is particularly important to conduct an evaluation study on the voltage support capacity of the distribution network under the condition of high-penetration grid connection of distributed generation devices.

[0003] In the prior art, the evaluation of voltage support capacity mainly uses a single index to evaluate the voltage support capacity in a specific scenario.

[0004] However, for a distribution network with high penetration of distributed power sources, the structure of this distribution network is complex, including two or more types of distributed power sources and various reactive power compensation devices. Therefore, there is a technical problem of low accuracy in the evaluation of the voltage support capacity of the distribution network under high penetration of distributed power sources in the prior art. Summary of the Invention

[0005] Embodiments of the present application provide an evaluation processing method, an electronic device, and a storage medium for voltage support capacity, so as to achieve the technical effect of improving the accuracy of voltage support capacity evaluation of the distribution network.

[0006] In a first aspect, an embodiment of the present application provides an evaluation processing method for voltage support capacity, including:

[0007] Obtain multiple evaluation index values of the distribution network to be evaluated based on distributed power sources;

[0008] Based on the subjective and objective weighting method, determine the improved weight corresponding to each evaluation index;

[0009] According to the improved weight corresponding to each evaluation index and each evaluation index value, determine the initial evaluation result of the voltage support capacity of the distribution network to be evaluated;

[0010] According to a plurality of preset voltage support capacity level intervals, determine the target voltage support capacity level interval corresponding to the initial evaluation result of the voltage support capacity, and obtain the initial classification result of the voltage support capacity of the distribution network to be evaluated;

[0011] Based on the initial evaluation results of the voltage support capability and the initial classification results of the voltage support capability, determine the target evaluation results of the voltage support capability of the distribution network to be evaluated.

[0012] In a possible implementation, obtain multiple evaluation index values of the distribution network to be evaluated based on distributed power sources, including:

[0013] The multiple evaluation indexes include: the output volatility of distributed power sources, the simultaneous rate of distributed power source outputs, the short-circuit ratio of distributed power sources in grid-connected operation, voltage margin support, reactive power balance margin, and reactive power support coefficient;

[0014] Among them, the output volatility of distributed power sources characterizes the input and output volatility of the distribution network to be evaluated, the simultaneous rate of distributed power source outputs characterizes the probability that the outputs of each distributed power source in the distribution network to be evaluated reach the highest simultaneously, the short-circuit ratio of distributed power sources in grid-connected operation characterizes the acceptance ability of the AC distribution system for the input power of distributed power sources, the voltage margin support characterizes the proportion of nodes with qualified voltage margins, the reactive power balance margin characterizes the adjustable reactive power reserve of the AC distribution system under the condition of reactive power balance of the distribution network to be evaluated, which is the sum of the remaining adjustable reactive powers of each reactive power compensation device that can be provided, and the reactive power support coefficient characterizes the influence degree of the distributed power source connection point on the effective reactive power reserve of the AC distribution system.

[0015] In a possible implementation, the output volatility of distributed power sources is obtained according to the following formula:

[0016]

[0017] Where I ov is the output volatility of distributed power sources; n is the number of time intervals into which the typical day of distributed power source output is divided; △T is the reference time interval; P(i·△T) represents the actual output of the distributed power source at the previous moment before power generation; P[(i + 1)·△T] represents the actual output of the distributed power source at the next moment after power generation; P NG represents the rated power of distributed power source power generation;

[0018] The simultaneous rate of distributed power source outputs is obtained according to the following formula:

[0019]

[0020] Where I os is the simultaneous rate of distributed power source outputs; maxΣP DG is the maximum total output of distributed power sources in a day; ΣS DG is the total installed capacity of all distributed power sources on the current day;

[0021] The short-circuit ratio of distributed power sources in grid-connected operation is obtained according to the following formula:

[0022]

[0023] Among them, I SCR is the short-circuit ratio of the distributed power source connected to the grid; S a is the short-circuit capacity of the distribution network; U N is the rated voltage of the grid connection point; P DG is the actual input capacity during the operation of the distributed power source; P DG,p.u is the per-unit value of the distributed power source input capacity; Z a is the equivalent impedance of the distribution network; Z a,p.u is the per-unit value of the impedance;

[0024] The voltage margin support is obtained according to the following formula:

[0025]

[0026] Among them, I △U is the voltage margin support; N is the number of nodes of the distribution network to be evaluated; E i is the metering variable; U i is the voltage of the i-th node; U i,min , U i,max are the upper and lower limits of the voltage of the i-th node; τ is the margin factor;

[0027] The reactive power balance margin is obtained according to the following formula:

[0028]

[0029] Among them, I △Q is the reactive power balance margin; Q L represents the reactive power demand of the load; Q i,G represents the maximum reactive power that can be adjusted when the i-th power plant unit or distributed power source operates normally or in the leading phase; Q i,x represents the capacity of each reactive power compensation device; N g is the number of power sources; N r is the number of reactive power compensation devices;

[0030] The reactive power support coefficient is obtained according to the following formula:

[0031]

[0032] Among them, I Q,i is the reactive power support coefficient; P DG,i is the active power output at the access point of the i-th distributed power source; ΣP G is the total active power output in the system; is the sensitivity of the reactive power output of the i-th distributed power source to the active power load of the load node j, It is the sensitivity of the reactive power output of the i-th distributed power source to the reactive power load of the load node j.

[0033] In a possible implementation, based on the subjective and objective weighting method, the improved weight corresponding to each evaluation index is determined, including:

[0034] Based on the analytic hierarchy process, obtain the subjective weight of each evaluation index;

[0035] Based on the entropy weight method, obtain the objective weight of each evaluation index;

[0036] Based on the subjective and objective weighting method, input the subjective weight of each evaluation index, the objective weight of each evaluation index, and each evaluation index value into the weight improvement model;

[0037] Based on the least squares method, train the weight improvement model until the weight improvement value in the weight improvement model meets the preset conditions, and determine the improved weight corresponding to each evaluation index.

[0038] In a possible implementation, the weight improvement model is:

[0039]

[0040] Among them, H is the total evaluation index difference after improving the weight; u j is the subjective weight of the j-th evaluation index; v j is the objective weight of the j-th evaluation index; f j is the value of the j-th evaluation index; w j is the improved weight of the j-th evaluation index.

[0041] In a possible implementation, the preset multiple voltage support ability level intervals are obtained according to the following method:

[0042] Obtain multiple historical voltage support ability evaluation results; among them, each historical voltage support ability evaluation includes multiple evaluation index values;

[0043] Determine multiple evaluation levels and the initial clustering center of each evaluation level; the evaluation levels include strong level, relatively strong level, slightly strong level, general level, relatively weak level, and weak level;

[0044] Based on the fuzzy C-means clustering algorithm, determine the clustering loss function according to multiple historical voltage support ability evaluation results and multiple initial clustering centers;

[0045] After solving the clustering loss function based on the Lagrange multiplier method, obtain the target clustering center of each evaluation level;

[0046] Determine the voltage support ability level interval of each evaluation level according to each target clustering center.

[0047] In one possible implementation, the method further includes:

[0048] Matching according to the initial evaluation result of the voltage support ability and each voltage support ability level interval to determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability;

[0049] If there is no matching level interval for the initial evaluation result of the voltage support ability, calculate the Euclidean distance between the initial evaluation result of the voltage support ability and the target cluster center of each evaluation level;

[0050] Determine the target Euclidean distance with the smallest value among the multiple Euclidean distances;

[0051] According to the target Euclidean distance, determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability.

[0052] In a second aspect, an evaluation processing device for voltage support ability provided by an embodiment of the present application includes:

[0053] An acquisition module, configured to acquire multiple evaluation index values of a distribution network to be evaluated based on distributed power sources;

[0054] A processing module, configured to determine an improved weight corresponding to each evaluation index based on the subjective and objective weighting method;

[0055] An evaluation module, configured to determine an initial evaluation result of the voltage support ability of the distribution network to be evaluated according to the improved weight corresponding to each evaluation index and each evaluation index value;

[0056] A grading module, configured to determine a target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability according to a preset multiple voltage support ability level intervals, and obtain an initial grading result of the voltage support ability of the distribution network to be evaluated;

[0057] The processing module is further configured to determine a target evaluation result of the voltage support ability of the distribution network to be evaluated according to the initial evaluation result of the voltage support ability and the initial grading result of the voltage support ability.

[0058] In a third aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor;

[0059] The memory stores computer execution instructions;

[0060] The processor executes the computer execution instructions stored in the memory, so that the processor executes the above first aspect and / or various possible implementation manners of the first aspect.

[0061] Fourthly, an embodiment of the present application provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the computer-executable instructions are executed by a processor, they are used to implement the above first aspect and / or various possible implementation manners of the first aspect.

[0062] Fifthly, an embodiment of the present application provides a computer program product, including a computer program, and when the computer program is executed by a processor, it implements the above first aspect and / or various possible implementation manners of the first aspect.

[0063] The voltage support ability evaluation processing method, electronic device and storage medium provided by the embodiments of the present application collect multiple evaluation index values of the distribution network to be evaluated based on the operating characteristics of distributed power sources, and use the subjective and objective weighting method to combine the subjective weight and the objective weight to determine the improved weight corresponding to each evaluation index; according to the multiple evaluation index values and the improved weight corresponding to each evaluation index, a primary evaluation result of the voltage support ability of the distribution network to be evaluated is obtained; further, the target voltage support ability level interval corresponding to the primary evaluation result of the voltage support ability is determined to obtain the initial classification result of the voltage support ability of the distribution network to be evaluated; according to the initial evaluation result of the voltage support ability and the initial classification result of the voltage support ability, the target evaluation result of the voltage support ability of the distribution network to be evaluated is determined. Thus, a comprehensive and objective evaluation of the voltage support ability of the distribution network to be evaluated is realized, and further, the technical effect of improving the accuracy of the voltage support ability evaluation of the distribution network is achieved, and it also provides strong technical support and decision-making basis for subsequent power grid planning, operation and maintenance. Description of the Drawings

[0064] The drawings here are incorporated into the specification and constitute a part of this specification, showing the embodiments that conform to the present application, and are used together with the specification to explain the principles of the present application.

[0065] Figure 1 Schematic diagram of the process of the voltage support ability evaluation processing method provided by the present application Figure 1 ;

[0066] Figure 2 Schematic diagram of the process of the voltage support ability evaluation processing method provided by the present application Figure 2 ;

[0067] Figure 3 Schematic diagram of the structure of the voltage support ability evaluation processing device provided by the present application;

[0068] Figure 4 Hardware schematic diagram of the voltage support ability evaluation processing device provided by the present application.

[0069] Through the above-mentioned drawings, specific embodiments of the present application have been shown, and will be described in more detail hereinafter. These drawings and the written description are not intended to limit the scope of the concept of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. Detailed Description of the Embodiments

[0070] Here, the exemplary embodiments will be described in detail, and the examples are shown in the drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of methods and methods consistent with some aspects of the present application as detailed in the appended claims.

[0071] In the prior art, the evaluation of voltage support ability mainly relies on a single index, and the application of this method has certain limitations in specific scenarios. Especially in the application scenario of a distribution network with high penetration of distributed power sources. On the one hand, due to the complex structure of the distribution network with high penetration of distributed power sources, including various types of distributed power sources, and various reactive power compensation devices are also equipped in the distribution network, it is difficult to comprehensively and accurately reflect the voltage support ability of such a complex distribution network according to a single index; on the other hand, in the distribution network with high penetration of distributed power sources, since the output of distributed power sources and the operating states of reactive power compensation devices may change over time, the voltage support ability will also show dynamic change characteristics, and it is difficult for a single-index evaluation method to capture such dynamic changes, resulting in a reduction in the accuracy of the evaluation results. Therefore, in the prior art, there is a technical problem of low accuracy in the evaluation of a distribution network with high penetration of distributed power sources.

[0072] To solve the above technical problems, the evaluation processing method, electronic device, and storage medium for voltage support ability provided by the embodiments of the present application collect multiple evaluation index values of the distribution network to be evaluated based on the operating characteristics of distributed power sources, and use the subjective and objective weighting method to combine subjective weights and objective weights to determine the improved weight corresponding to each evaluation index; according to the multiple evaluation index values and the improved weight corresponding to each evaluation index, a primary evaluation result of the voltage support ability of the distribution network to be evaluated is obtained; further, the target voltage support ability level interval corresponding to the primary evaluation result of the voltage support ability is determined to obtain the initial classification result of the voltage support ability of the distribution network to be evaluated; according to the initial evaluation result of the voltage support ability and the initial classification result of the voltage support ability, the target evaluation result of the voltage support ability of the distribution network to be evaluated is determined. Thus, a comprehensive and objective evaluation of the voltage support ability of the distribution network to be evaluated is realized, and further the technical effect of improving the accuracy of the voltage support ability evaluation of the distribution network is achieved, and it also provides strong technical support and decision-making basis for subsequent power grid planning, operation, and maintenance.

[0073] The technical solutions of this application and how the technical solutions of this application solve the above technical problems will be described in detail below with specific embodiments. The following several specific embodiments can be combined with each other, and the same or similar concepts or processes may not be repeated in some embodiments. The embodiments of this application will be described below with reference to the accompanying drawings.

[0074] Figure 1 Flow schematic of the evaluation processing method, electronic device, and storage medium for the voltage support ability provided by this application Figure 1 , such as Figure 1 shown, the method includes:

[0075] S101. Obtain multiple evaluation index values of the distribution network to be evaluated based on distributed power sources;

[0076] In this embodiment, obtaining multiple evaluation index values can more comprehensively reflect the performance status of the distribution network to be evaluated. Through multiple evaluation indexes, a comprehensive consideration of the voltage support ability of the distribution network is jointly formed, avoiding the one-sidedness that may be brought by a single index. At the same time, compared with the method of evaluating the distribution network with a single index, obtaining multiple evaluation index values of the distribution network to be evaluated based on distributed power sources has a more comprehensive evaluation perspective, higher evaluation accuracy, stronger adaptability and forward-looking, which is of great significance for ensuring the safe and stable operation of the distribution network.

[0077] S102. Determine the improved weight corresponding to each evaluation index based on the subjective and objective weighting method;

[0078] In this embodiment, in the evaluation of voltage support ability, the determination of index weights plays a crucial role in the reliability of the evaluation. However, in the prior art, most of the evaluation indexes are subjectively assigned, or a single objective weight is adopted for the evaluation indexes. Therefore, in order to enhance the importance of each evaluation index, the subjective weight and the objective weight are combined advantageously, so as to determine the improved weight of each evaluation index. This method can effectively improve the evaluation accuracy of the voltage support ability of the distribution network.

[0079] S103. Determine the initial evaluation result of the voltage support ability of the distribution network to be evaluated according to the improved weight corresponding to each evaluation index and each evaluation index value;

[0080] In this embodiment, by combining the values of multiple evaluation indexes and their improved weights, the voltage support ability of the distribution network can be more comprehensively reflected. This method is more accurate than single-index evaluation. At the same time, different distribution networks to be evaluated may have different characteristics and requirements, so customized evaluation according to specific scenarios is allowed, enhancing the flexibility and applicability of the evaluation.

[0081] S104. Determine the target voltage support capacity level interval corresponding to the initial evaluation result of the voltage support capacity according to a plurality of preset voltage support capacity level intervals, and obtain the initial classification result of the voltage support capacity of the distribution network to be evaluated;

[0082] In this embodiment, within the already set multiple voltage support capacity level intervals, the initial evaluation result of the voltage support capacity is compared with these preset intervals to determine the specific level interval to which the initial evaluation result belongs. By presetting the voltage support capacity level intervals, a unified standard is provided for evaluating the voltage support capacity of the distribution network, which helps to eliminate subjectivity and uncertainty in the evaluation process, making the evaluation results more objective and comparable. At the same time, this classification form is convenient for users to quickly understand the evaluation results, so as to make more accurate judgments and decisions.

[0083] S105. Determine the target evaluation result of the voltage support capacity of the distribution network to be evaluated according to the initial evaluation result of the voltage support capacity and the initial classification result of the voltage support capacity.

[0084] In this embodiment, by combining the initial evaluation result of the voltage support capacity with the initial classification result, the target evaluation result of the voltage support capacity of the distribution network to be evaluated is further determined. This result not only reflects the specific numerical performance of the distribution network's voltage support capacity but also reflects its performance level; it also includes, but is not limited to, improvement suggestions and risk warnings provided by the system to the user based on the target evaluation result, thus intuitively and accurately providing the user with the evaluation result and improvement direction of the distribution network to be evaluated. This target evaluation result can measure the ability of the power grid to maintain the voltage of specific nodes or regions within a reasonable range. After obtaining the support capacity of this distribution network, equipment can be added at nodes or regions with relatively weak capabilities during subsequent power grid construction to improve the overall stability allowed by the power grid; or the power generation plan and load distribution of nodes or regions with relatively weak capabilities can be adjusted to ensure that the power grid voltage fluctuates within the allowed range. Therefore, obtaining an accurate evaluation result of the voltage support capacity of the distribution network to be evaluated is of great significance for ensuring the stable development of the voltage.

[0085] The evaluation processing method for voltage support capability provided by the embodiments of the present application collects multiple evaluation index values of the distribution network to be evaluated based on the operating characteristics of distributed power sources, and combines subjective weights and objective weights using the subjective and objective weighting method to determine the improved weight corresponding to each evaluation index; according to the multiple evaluation index values and the improved weight corresponding to each evaluation index, a primary evaluation result of the voltage support capability of the distribution network to be evaluated is obtained; further, the target voltage support capability level interval corresponding to the primary evaluation result of the voltage support capability is determined to obtain the initial classification result of the voltage support capability of the distribution network to be evaluated; according to the initial evaluation result of the voltage support capability and the initial classification result of the voltage support capability, the target evaluation result of the voltage support capability of the distribution network to be evaluated is determined. Thus, a comprehensive and objective evaluation of the voltage support capability of the distribution network to be evaluated is realized, and the technical effect of improving the accuracy of the voltage support capability evaluation of the distribution network is achieved. It also provides strong technical support and decision-making basis for subsequent power grid planning, operation and maintenance.

[0086] Figure 2 Schematic flow of the evaluation processing method for voltage support capability provided by the present application Figure 2 , as Figure 2 shown, on the basis of the Figure 1 embodiment, the evaluation processing method for voltage support capability is described in detail. Among them, step S202 explains the process of obtaining the improved weight of each evaluation index; steps S204 to S205 explain how to determine the voltage support capability level interval of each evaluation level and how to determine the initial classification result corresponding to the initial evaluation result. The method includes:

[0087] S201. Obtain multiple evaluation index values of the distribution network to be evaluated based on distributed power sources;

[0088] In this embodiment, the multiple evaluation indexes include: output volatility of distributed power sources, simultaneity rate of distributed power source outputs, short-circuit ratio of distributed power sources connected to the grid for operation, voltage margin support, reactive power balance margin, and reactive power support coefficient;

[0089] Among them, the output volatility of distributed power sources characterizes the input and output volatility of the distribution network to be evaluated. In an actual power grid, the smaller the input and output volatility of active power and reactive power, the more beneficial it is to the grid stability. If the output volatility of distributed power sources is higher, the more difficult it is for the distribution network to optimize the power flow, and it is also not conducive to the voltage support of the distribution network. The simultaneous rate of distributed power source output characterizes the probability that the outputs of each distributed power source in the distribution network to be evaluated reach the highest at the same time. The higher the simultaneous rate of distributed power source output, the stronger the voltage support for the distribution network. The short-circuit ratio of distributed power sources connected to the grid characterizes the acceptance ability of the AC distribution system to the input power of distributed power sources. The voltage margin support characterizes the proportion of nodes with qualified voltage margins, which can measure the overall voltage support strength of the distribution network. The reactive power balance margin characterizes the adjustable reactive power reserve of the distribution network under the condition of reactive power balance, which is the sum of the remaining adjustable reactive powers of each reactive power compensation device that can be provided. The reactive power support coefficient takes into account the sensitivity of the reactive power output at the grid connection point when the active power of the load increases and the proportion of the active power borne by the distributed power source access point. Therefore, it can characterize the influence degree of the distributed power source access point on the effective reactive power reserve of the distribution network.

[0090] In a possible implementation, the output volatility of distributed power sources is obtained according to the following formula:

[0091]

[0092] Among them, I ov is the output volatility of distributed power sources; n is the number of time intervals into which the typical day of distributed power source output is divided; △T is the reference time interval; P(i·△T) represents the actual output of the distributed power source at the previous moment before power generation; P[(i + 1)·△T] represents the actual output of the distributed power source at the next moment after power generation; P NG represents the rated power of distributed power source power generation;

[0093] The simultaneous rate of distributed power source output is obtained according to the following formula:

[0094]

[0095] Among them, I os is the simultaneous rate of distributed power source output; maxΣP DG is the maximum total output of distributed power sources in a day; ΣS DG is the total installed capacity of all distributed power sources on the current day;

[0096] The short-circuit ratio of distributed power sources connected to the grid is obtained according to the following formula:

[0097]

[0098] Among them, I SCR is the short-circuit ratio of distributed power sources connected to the grid; Sa is the short-circuit capacity of the distribution network; U N is the rated voltage of the grid connection point; P DG is the actual input capacity during the operation of the distributed power source; P DG,p.u is the per-unit value of the distributed power source input capacity; Z a is the equivalent impedance of the distribution network; Z a,p.u is the per-unit value of the impedance;

[0099] The voltage margin support is obtained according to the following formula:

[0100]

[0101] where, I △U is the voltage margin support; N is the number of nodes of the distribution network to be evaluated; E i is the measurement variable; U i is the voltage of the i-th node; U i,min 、U i,max are the upper and lower voltage limits of the i-th node; τ is the margin factor;

[0102] The reactive power balance margin is obtained according to the following formula:

[0103]

[0104] where, I △Q is the reactive power balance margin; Q L represents the reactive power demand of the load; Q i,G represents the maximum reactive power that can be adjusted when the i-th power plant unit or distributed power source operates normally or in the leading phase; Q i,x represents the capacity of each reactive power compensation device; N g is the number of power sources; N r is the number of reactive power compensation devices;

[0105] The reactive power support coefficient is obtained according to the following formula:

[0106]

[0107] where, I Q,i is the reactive power support coefficient; P DG,i is the active power output at the access point of the i-th distributed power source; ΣP G is the total active power output in the system; is the sensitivity of the reactive power output of the i-th distributed power source to the active power load of the load node j, is the sensitivity of the reactive power output of the i-th distributed power source to the reactive power load of the load node j.

[0108] S202. Obtain the subjective weight of each evaluation index based on the analytic hierarchy process; obtain the objective weight of each evaluation index based on the entropy weight method; based on the subjective and objective weighting method, input the subjective weight of each evaluation index, the objective weight of each evaluation index, and each evaluation index value into the weight improvement model; train the weight improvement model based on the least squares method until the weight improvement value in the weight improvement model meets the preset conditions, and determine the improved weight corresponding to each evaluation index.

[0109] In a possible implementation, the weight improvement model is:

[0110]

[0111] where H is the total evaluation index difference after improving the weight; u j is the subjective weight of the j-th evaluation index; v j is the objective weight of the j-th evaluation index; f j is the value of the j-th evaluation index; w j is the improved weight of the j-th evaluation index.

[0112] In this embodiment, the method combines subjective judgment and objective data, aiming to obtain more reasonable and accurate evaluation index weights. The subjective weight is obtained through the analytic hierarchy process, which reflects the subjective cognition of experts on the importance of evaluation indexes; the objective weight is calculated through the entropy weight method, which is based on the variability and information volume of the data itself; by combining the subjective weight and the objective weight, and considering the actual value of the evaluation index, through the training of the weight optimization model and the least squares method, the weight can be gradually adjusted until a balance state that conforms to expert judgment and reflects data characteristics is reached. This method improves the scientificity and accuracy of weight determination, and helps to improve the effectiveness and reliability of subsequent evaluation or decision-making. At the same time, the method effectively considers the influence of the evaluation value on the improved weight, thereby greatly improving the effectiveness and pertinence of the improved weight.

[0113] S203. Determine the initial evaluation result of the voltage support ability of the distribution network to be evaluated according to the improved weight corresponding to each evaluation index and each evaluation index value.

[0114] In this embodiment, according to the improved weight corresponding to each index, obtain the improved weight vector of the improved weight, and according to the evaluation value of each evaluation index, obtain the evaluation value vector of each evaluation index. Further, by multiplying each evaluation value vector and the improved weight vector corresponding to each evaluation index, the initial evaluation result of the voltage support ability is obtained.

[0115] S204. Obtain multiple historical voltage support ability evaluation results; determine multiple evaluation levels and the initial cluster centers of each evaluation level; based on the fuzzy C-means clustering algorithm, determine the clustering loss function according to the multiple historical voltage support ability evaluation results and the multiple initial cluster centers; after solving the clustering loss function based on the Lagrange multiplier method, obtain the target cluster center of each evaluation level; determine the voltage support ability level interval of each evaluation level according to each target cluster center.

[0116] In this embodiment, each historical voltage support ability evaluation result includes multiple evaluation index values; the evaluation levels include strong level, relatively strong level, slightly strong level, general level, relatively weak level, and weak level; the initial cluster center is represented as the level center of each evaluation level, and the level interval is the upper and lower limits of the evaluation level.

[0117] Optionally, according to the multiple historical voltage support ability evaluation results and the multiple initial cluster centers, determine the clustering loss function, and the loss function is shown as the following formula:

[0118]

[0119] where J is the loss function of the fuzzy C-means; u ij represents the membership degree of the i-th historical voltage support ability evaluation result belonging to the j-th cluster center; x i represents the i-th historical voltage support ability evaluation result; c j is the j-th initial cluster center; ||*|| can be any metric representing distance.

[0120] Solve the clustering loss function based on the Lagrange multiplier method, transform the above formula into an unconstrained problem, and directly take the partial derivatives of C j and the membership degree (u ij ) 2 to solve. Continuously correct the membership degree of the i-th historical voltage support ability evaluation result belonging to the j-th cluster center until the convergence condition of the fuzzy C-means meets the preset condition, and then obtain the target cluster center of each evaluation level:

[0121]

[0122] where c i is the i-th target cluster center; uij can be obtained according to the following formula:

[0123]

[0124] where k is the number of evaluation levels; x n is a total of n historical voltage support ability evaluation results.

[0125] In a possible implementation manner, the convergence condition is shown by the following formula:

[0126]

[0127] where r is the number of iteration steps; ε is the error threshold.

[0128] Furthermore, the voltage support ability level intervals of each evaluation level can be determined according to each target clustering center; optionally, the voltage support ability level intervals can be expressed as: [λ1 min , λ1 max , [λ2 min , λ2 max , [λ3 min , λ3 max , [λ4 min , λ4 max , [λ5 min , λ5 max , [λ6 min , λ6 max ; corresponding to the strong level, the relatively strong level, the slightly strong level, the general level, the relatively weak level, and the weak level respectively; where λ1, λ2, λ3, λ4, λ5, λ6 represent the target clustering centers of each level.

[0129] S205. Match according to the initial evaluation result of the voltage support ability and each voltage support ability level interval, and determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability; if there is no matching level interval for the initial evaluation result of the voltage support ability, calculate the Euclidean distance between the initial evaluation result of the voltage support ability and the target clustering centers of each evaluation level; determine the target Euclidean distance with the smallest value among the multiple Euclidean distances; according to the target Euclidean distance, determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability; obtain the initial classification result of the voltage support ability of the distribution network to be evaluated;

[0130] In this embodiment, by matching the initial evaluation result of the voltage support ability with the voltage support ability level interval, the voltage support ability is quantified, which is fast and direct. However, when direct matching is not feasible, a more refined Euclidean distance calculation method is adopted. By calculating the Euclidean distance between the initial evaluation result of the voltage support ability and the target clustering center of each evaluation level, the closest level interval is found, thereby improving the flexibility and accuracy of the matching, especially when the preliminary evaluation score does not exactly match the preset interval. This method provides a systematic and quantitative method to evaluate the voltage support ability of the distribution network, and through matching or distance calculation, it is classified into a clear level interval. This not only helps us understand the voltage support status of the distribution network more clearly, but also provides strong data support for subsequent improvement and optimization. At the same time, this method also demonstrates the superiority of combining direct matching and refined calculation strategies when dealing with complex and non-linear problems.

[0131] S206. Determine the target evaluation result of the voltage support ability of the distribution network to be evaluated according to the initial evaluation result of the voltage support ability and the initial classification result of the voltage support ability.

[0132] The evaluation processing method for the voltage support ability provided by the embodiment of the present application obtains six indicators of the distributed power output volatility, distributed power output simultaneity rate, distributed power grid-connected operation short-circuit ratio, voltage margin support, reactive power balance margin, and reactive power support coefficient of the distribution network to be evaluated based on the distributed power source. Further, based on the analytic hierarchy process, the subjective weight of each evaluation index is obtained; based on the entropy weight method, the objective weight of each evaluation index is obtained; based on the subjective and objective weighting method, the subjective weight of each evaluation index, the objective weight of each evaluation index, and each evaluation index value are input into the weight improvement model; the weight improvement model is trained based on the least squares method until the weight improvement value in the weight improvement model meets the preset conditions, and the improved weight corresponding to each evaluation index is determined. Thus, according to the improved weight corresponding to each evaluation index and each evaluation index value, the initial evaluation result of the voltage support ability of the distribution network to be evaluated is determined; based on the fuzzy C-means clustering algorithm, according to multiple historical voltage support ability evaluation results and multiple initial clustering centers, the voltage support ability level interval of each evaluation level is determined, the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability is determined, and the initial classification result of the voltage support ability of the distribution network to be evaluated is obtained. Furthermore, according to the initial evaluation result of the voltage support ability and the initial classification result of the voltage support ability, the target evaluation result of the voltage support ability of the distribution network to be evaluated is determined; this method evaluates the distribution network to be evaluated under the distributed power source through multiple indicators, accurately evaluates the voltage support ability of the distribution network to be investigated, and plays an important role that cannot be ignored in maintaining voltage stability and promoting the reliable development of the power grid.

[0133] Figure 3 The structural schematic diagram of the evaluation processing device for the voltage support capability provided by this application is as follows Figure 3 As shown, the evaluation processing device 40 for the voltage support capability provided in this embodiment includes:

[0134] An acquisition module 301, configured to acquire multiple evaluation index values of a distribution network to be evaluated based on distributed power sources;

[0135] A processing module 302, configured to determine an improved weight corresponding to each evaluation index based on the subjective and objective weighting method;

[0136] An evaluation module 303, configured to determine an initial evaluation result of the voltage support capability of the distribution network to be evaluated according to the improved weight corresponding to each evaluation index and each evaluation index value;

[0137] A grading module 304, configured to determine a target voltage support capability level interval corresponding to the initial evaluation result of the voltage support capability according to a plurality of preset voltage support capability level intervals, and obtain an initial grading result of the voltage support capability of the distribution network to be evaluated;

[0138] The processing module 302 is further configured to determine a target evaluation result of the voltage support capability of the distribution network to be evaluated according to the initial evaluation result of the voltage support capability and the initial grading result of the voltage support capability.

[0139] In a possible implementation manner, the acquisition module 301 is further configured to:

[0140] The multiple evaluation indexes include: the output volatility of the distributed power source, the output simultaneity rate of the distributed power source, the short-circuit ratio of the distributed power source in grid-connected operation, the voltage margin support, the reactive power balance margin, and the reactive power support coefficient;

[0141] Among them, the output volatility of the distributed power source characterizes the input and output volatility of the distribution network to be evaluated, the output simultaneity rate of the distributed power source characterizes the probability that the outputs of each distributed power source in the distribution network to be evaluated reach the highest simultaneously, the short-circuit ratio of the distributed power source in grid-connected operation characterizes the acceptance ability of the AC distribution system to the input power of the distributed power source, the voltage margin support characterizes the proportion of nodes with qualified voltage margins, the reactive power balance margin characterizes the adjustable reactive power reserve of the distribution system under the condition of reactive power balance in the distribution network to be evaluated, which is the sum of the remaining adjustable reactive powers of each reactive power compensation device that can be provided, and the reactive power support coefficient characterizes the influence degree of the distributed power source access point on the effective reactive power reserve of the distribution system.

[0142] In a possible implementation manner, the acquisition module 301 is further configured to:

[0143]

[0144] Among them, I ovis the volatility of the distributed power output; n is the number of time intervals into which the typical day of the distributed power output is divided; △T is the reference time interval; P(i·△T) represents the actual output of the distributed power at the previous moment before power generation; P[(i + 1)·△T] represents the actual output of the distributed power at the next moment after power generation; P NG represents the rated power of the distributed power generation;

[0145] The simultaneity rate of the distributed power output is obtained according to the following formula:

[0146]

[0147] where, I os is the simultaneity rate of the distributed power output; maxΣP DG is the maximum total output of the distributed power in a day; ΣS DG is the total installed capacity of all distributed powers on the current day;

[0148] The short - circuit ratio of the distributed power grid - connected operation is obtained according to the following formula:

[0149]

[0150] where, I SCR is the short - circuit ratio of the distributed power grid - connected operation; S a is the short - circuit capacity of the distribution network; U N is the rated voltage of the grid - connection point; P DG is the actual input capacity during the operation of the distributed power; P DG,p.u is the per - unit value of the distributed power input capacity; Z a is the equivalent impedance of the distribution network; Z a,p.u is the per - unit value of the impedance;

[0151] The voltage margin support is obtained according to the following formula:

[0152]

[0153] where, I △U is the voltage margin support; N is the number of nodes of the distribution network to be evaluated; E i is the metering variable; U i is the voltage of the i - th node; U i,min 、U i,max are the upper and lower limits of the voltage of the i - th node; τ is the margin factor;

[0154] The reactive power balance margin is obtained according to the following formula:

[0155]

[0156] where, I △Q is the reactive power balance margin; QL Represents the reactive power demand of the load; Q i,G Represents the maximum reactive power that can be adjusted during normal operation or leading power factor operation of the i-th power plant unit or distributed power source; Q i,x Represents the capacity of each reactive power compensation device; N g Is the number of power sources; N r Is the number of reactive power compensation devices;

[0157] The reactive power support coefficient is obtained according to the following formula:

[0158]

[0159] Where, I Q,i Is the reactive power support coefficient; P DG,i Is the active power output at the access point of the i-th distributed power source; ΣP G Is the total active power output in the system; Is the sensitivity of the reactive power output of the i-th distributed power source to the active power load of the load node j, Is the sensitivity of the reactive power output of the i-th distributed power source to the reactive power load of the load node j.

[0160] In a possible implementation, the processing module 302 is further configured to:

[0161] Based on the analytic hierarchy process, obtain the subjective weight of each evaluation index;

[0162] Based on the entropy weight method, obtain the objective weight of each evaluation index;

[0163] Based on the subjective and objective weighting method, input the subjective weight of each evaluation index, the objective weight of each evaluation index, and each evaluation index value into the weight improvement model;

[0164] Based on the least squares method, train the weight improvement model until the weight improvement value in the weight improvement model meets the preset conditions, and determine the improved weight corresponding to each evaluation index.

[0165] In a possible implementation, the processing module 302 is further configured to:

[0166]

[0167] Where, H is the total evaluation index difference after improving the weight; u j Is the subjective weight of the j-th evaluation index; v j Is the objective weight of the j-th evaluation index; f j Is the value of the j-th evaluation index; w j Is the improved weight of the j-th evaluation index.

[0168] In a possible implementation, the grading module 304 is further configured to:

[0169] Obtain multiple historical voltage support ability evaluation results; wherein, each historical voltage support ability evaluation includes multiple evaluation index values;

[0170] Determine multiple evaluation levels and the initial clustering centers of each evaluation level; wherein, the evaluation levels include strong level, relatively strong level, slightly strong level, general level, relatively weak level, and weak level;

[0171] Based on the fuzzy C-means clustering algorithm, determine the clustering loss function according to the multiple historical voltage support ability evaluation results and the multiple initial clustering centers;

[0172] After solving the clustering loss function based on the Lagrange multiplier method, obtain the target clustering centers of each evaluation level;

[0173] Determine the voltage support ability level intervals of each evaluation level according to each target clustering center.

[0174] In a possible implementation manner, the grading module 304 is further configured to:

[0175] Match according to the initial evaluation result of the voltage support ability and each voltage support ability level interval, and determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability;

[0176] If there is no matching level interval for the initial evaluation result of the voltage support ability, calculate the Euclidean distance between the initial evaluation result of the voltage support ability and the target clustering centers of each evaluation level;

[0177] Determine the target Euclidean distance with the smallest value among the multiple Euclidean distances;

[0178] Determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability according to the target Euclidean distance.

[0179] The evaluation processing device for voltage support ability provided in this embodiment can execute the method provided in the above method embodiment, and its implementation principle and technical effects are similar, which will not be elaborated here in this embodiment.

[0180] Figure 4 This is a hardware schematic diagram of the evaluation processing device for voltage support ability provided in this application. As Figure 4 shown, the electronic device 40 provided in this embodiment includes: at least one processor 401 and a memory 402. Optionally, the device 40 further includes a communication component 403. Wherein, the processor 401, the memory 402, and the communication component 403 are connected through a bus 404.

[0181] In a specific implementation process, at least one processor 401 executes computer-executable instructions stored in a memory 402, so that at least one processor 401 executes the above-mentioned method.

[0182] For the specific implementation process of the processor 401, reference may be made to the above method embodiment. The implementation principle and technical effect are similar, and will not be elaborated here in this embodiment.

[0183] In the above embodiment, it should be understood that the processor may be a central processing unit (Central Processing Unit, CPU for short), or may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP for short), application specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The steps of the method disclosed in combination with the invention can be directly embodied as being executed and completed by a hardware processor, or executed and completed by a combination of hardware and software modules in the processor.

[0184] The memory may include a high-speed memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-volatile Memory, NVM), such as at least one disk memory.

[0185] The bus may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the buses in the drawings of this application are not limited to only one bus or one type of bus.

[0186] This application also provides a computer program product, including a computer program, which implements the above-mentioned method when executed by a processor.

[0187] This application also provides a computer-readable storage medium, in which computer-executable instructions are stored, and when the processor executes the computer-executable instructions, the above-mentioned method is implemented.

[0188] The above-readable storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disk. The readable storage medium may be any available medium accessible by a general-purpose or special-purpose computer.

[0189] An exemplary readable storage medium is coupled to the processor so that the processor can read information from and write information to the readable storage medium. Of course, the readable storage medium may also be a component of the processor. The processor and the readable storage medium may be located in an application specific integrated circuit (ASIC). Of course, the processor and the readable storage medium may also exist as discrete components in a device.

[0190] The division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed coupling, direct coupling, or communication connection to each other may be an indirect coupling or communication connection through some interfaces, methods, or units, and may be in an electrical, mechanical, or other form.

[0191] The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0192] In addition, the functional units in various embodiments of the present invention may be integrated in a processing unit, or each unit may exist physically alone, or two or more units may be integrated in one unit.

[0193] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, mobile hard disks, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical discs, etc., which are various media that can store program codes.

[0194] Those of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When this program is executed, it executes the steps including the above method embodiments; and the aforementioned storage medium includes: ROMs, RAMs, magnetic disks, or optical discs, etc., which are various media that can store program codes.

[0195] Finally, it should be noted that: After considering the specification and practicing the invention disclosed herein, those skilled in the art will readily think of other implementation manners of the present invention. The present invention is intended to cover any variations, uses, or adaptations of the present invention, which follow the general principles of the present invention and include common general knowledge or conventional technical means in the technical field not disclosed in the present invention. It is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present invention is only limited by the appended claims.

Claims

1. A method for evaluating and processing voltage support capability, characterized in that, Including: Obtaining multiple evaluation index values of the distribution network to be evaluated based on distributed power sources; Determining the improved weight corresponding to each evaluation index based on the subjective and objective weighting method; Determining the initial evaluation result of the voltage support ability of the distribution network to be evaluated according to the improved weight corresponding to each evaluation index and each evaluation index value; Determining the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability according to a plurality of preset voltage support ability level intervals, and obtaining the initial classification result of the voltage support ability of the distribution network to be evaluated; Determining the target evaluation result of the voltage support ability of the distribution network to be evaluated according to the initial evaluation result of the voltage support ability and the initial classification result of the voltage support ability.

2. The method according to claim 1, wherein The obtaining of multiple evaluation index values of the distribution network to be evaluated based on distributed power sources includes: The multiple evaluation indexes include: the output volatility of distributed power sources, the simultaneous output rate of distributed power sources, the short-circuit ratio of distributed power sources connected to the grid for operation, the voltage margin support, the reactive power balance margin, and the reactive power support coefficient; Among them, the output volatility of distributed power sources characterizes the input and output volatility of the distribution network to be evaluated, the simultaneous output rate of distributed power sources characterizes the probability that the outputs of each distributed power source in the distribution network to be evaluated reach the highest simultaneously, the short-circuit ratio of distributed power sources connected to the grid for operation characterizes the acceptance ability of the AC distribution system for the input power of distributed power sources, the voltage margin support characterizes the proportion of nodes with qualified voltage margins, the reactive power balance margin characterizes the adjustable reactive power reserve of the AC distribution system under the condition of reactive power balance in the distribution network to be evaluated, which is the sum of the remaining adjustable reactive powers of each reactive power compensation device that can provide reactive power compensation, and the reactive power support coefficient characterizes the influence degree of the distributed power source connection point on the effective reactive power reserve of the AC distribution system.

3. The method according to claim 2, characterized in that, The output volatility of distributed power sources is obtained according to the following formula: Among them, I ov is the volatility of the distributed power output; n is the number of time intervals into which the typical day of the distributed power output is divided; △T is the reference time interval; P(i·△T) represents the actual output of the distributed power at the previous moment before power generation; P[(i + 1)·△T] represents the actual output of the distributed power at the next moment after power generation; P NG represents the rated power of the distributed power generation; The simultaneous output rate of distributed power sources is obtained according to the following formula: Among them, I os is the simultaneity rate of distributed power generation output; maxΣP DG is the maximum total output of distributed power generation in a day; ΣS DG is the total installed capacity of all distributed power generation on the day; The short-circuit ratio of distributed power sources connected to the grid for operation is obtained according to the following formula: Among them, I SCR is the short-circuit ratio of the distributed power source connected to the grid; S a is the short-circuit capacity of the distribution network; U N is the rated voltage at the grid connection point; P DG is the actual input capacity during the operation of the distributed power source; P DG,p.u is the per-unit value of the input capacity of the distributed power source; Z a is the equivalent impedance of the distribution network; Z a,p.u is the per-unit value of the impedance; The voltage margin support is obtained according to the following formula: Among them, I △U is the voltage margin support; N is the number of nodes of the distribution network to be evaluated; E i is the measurement variable; U i is the voltage of the i-th node; U i,min , U i,max are the upper and lower voltage limits of the i-th node; τ is the margin factor; The reactive power balance margin is obtained according to the following formula: Among them, I △Q is the reactive power balance margin; Q L represents the reactive power demand of the load; Q i,G represents the maximum reactive power that can be adjusted by the units of the i-th power plant or distributed power source during normal operation or leading power factor operation; Q i,x represents the capacity of each reactive power compensation device; N g is the number of power sources; N r is the number of reactive power compensation devices; The reactive power support coefficient is obtained according to the following formula: Among them, I Q,i is the reactive power support coefficient; P DG,i is the active power output of the i-th distributed power source access point; ΣP G is the total active power output in the system; is the sensitivity of the reactive power output of the i-th distributed power source to the active power load of the load node j, is the sensitivity of the reactive power output of the i-th distributed power source to the reactive power load of the load node j.

4. The method according to claim 1, wherein The determining of the improved weight corresponding to each evaluation index based on the subjective and objective weighting method includes: Obtaining the subjective weight of each evaluation index based on the analytic hierarchy process; Obtaining the objective weight of each evaluation index based on the entropy weight method; Based on the subjective and objective weighting method, inputting the subjective weight of each evaluation index, the objective weight of each evaluation index, and each evaluation index value into the weight improvement model; Training the weight improvement model based on the least squares method until the weight improvement value in the weight improvement model meets the preset conditions, and determining the improved weight corresponding to each evaluation index.

5. The method according to claim 4, wherein The weight improvement model is: Among them, H is the total evaluation index difference after improving the weight; u j is the subjective weight of the j-th evaluation index; v j is the objective weight of the j-th evaluation index; f j is the value of the j-th evaluation index; w j is the improved weight of the j-th evaluation index.

6. The method according to claim 1, characterized in that The preset multiple voltage support ability level intervals are obtained in the following manner: Obtaining multiple historical voltage support ability evaluation results; among them, each historical voltage support ability evaluation includes the multiple evaluation index values; Determine multiple evaluation levels and the initial clustering centers for each evaluation level; wherein, the evaluation levels include strong level, relatively strong level, slightly strong level, general level, relatively weak level, and weak level; Based on the fuzzy C-means clustering algorithm, determine the clustering loss function according to the multiple historical voltage support ability evaluation results and the multiple initial clustering centers; After solving the clustering loss function based on the Lagrange multiplier method, obtain the target clustering centers for each evaluation level; Determine the voltage support ability level intervals for each evaluation level according to each target clustering center.

7. The method according to any one of claims 1-6, characterized in that, The method further includes: Match according to the initial evaluation result of the voltage support ability and each voltage support ability level interval to determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability; If there is no matching level interval for the initial evaluation result of the voltage support ability, calculate the Euclidean distance between the initial evaluation result of the voltage support ability and the target clustering centers of each evaluation level; Determine the target Euclidean distance with the smallest value among the multiple Euclidean distances; Determine the target voltage support ability level interval corresponding to the initial evaluation result of the voltage support ability according to the target Euclidean distance.

8. An electronic device, characterized in that, It includes: A memory and a processor; The memory stores computer execution instructions; The processor executes the computer execution instructions stored in the memory, so that the processor executes the method according to any one of claims 1-7.

9. A computer-readable storage medium, characterized in that, Computer execution instructions are stored in the computer-readable storage medium, and when the computer execution instructions are executed by the processor, they are used to implement the method according to any one of claims 1-7.

10. A computer program product, characterized in that, It includes a computer program, and when the computer program is executed by the processor, it implements the method according to any one of claims 1-7.

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