Power distribution network transfer path preferential analysis method based on ELCTRE multi-attribute decision-making method

Abstract

The invention provides a power distribution network transfer path preferential analysis method based on an ELCTRE multi-attribute decision-making method, and the method comprises the steps: obtaining a power grid operation mode, taking a power grid frame in the power grid operation mode as a model, taking an operation state as measurement, and selecting a group of anticipated faults as a transfer path analysis object; superposing the initial operation mode and the anticipated fault to define a ground state mode, and carrying out transfer path analysis on the ground state mode to obtain a plurality of transfer schemes; carrying out load flow calculation, short-circuit calculation and risk assessment on each transfer scheme, and calculating residual capacity, voltage condition, short-circuit current condition and risk accumulated value of each level related to the path; calculating the operation cost according to the switching action times of the transfer scheme, and constructing a standardized decision matrix after performing normalization processing on each index according to the weight; carrying out harmony and non-harmony analysis on the standardized decision matrix, and determining the priority and sorting of each scheme; and determining a transfer scheme according to the priority and the sequence.

Description

Technical Field

[0001] The present invention belongs to the technical fields such as distribution network data processing, and particularly relates to a method for preferentially analyzing transfer paths of a distribution network based on the ELECTRE multi-attribute decision-making method. Background Art

[0002] At present, with the development of the new power system, more new energy sources are connected to the distribution network, and the transfer paths of the distribution network are becoming increasingly complex, and it is impossible to make transfer paths for all fault conditions in the off-line state. Therefore, it is necessary to select an optimal transfer plan that is most suitable for the current power grid operation mode from among numerous transfer paths for power grid transfer. Therefore, optimizing and ranking transfer paths and providing various indicators for dispatchers to select have become important issues for power management departments.

[0003] In current work, transfer paths are often analyzed and calculated offline by mode personnel, but they often do not conform to the actual power grid fault state conditions, and dispatchers still need to select transfer paths by themselves. Dispatchers need to perform a large amount of manual calculations from multiple transfer paths to give the final transfer plan. In various extreme modes or emergency power outage situations, it is impossible to quickly give transfer paths and transfer index data, affecting power supply reliability. Therefore, how to quickly make decisions on the future operation of the power grid has become a key problem that needs to be solved urgently. Summary of the Invention

[0004] Considering that ELECTRE (Elimination and Choice Translating Reality) is a multi-attribute decision-making method suitable for solving complex decision-making problems involving conflicting indicators and uncertainties.

[0005] Currently, there is no solution for preferentially analyzing transfer paths of a distribution network based on the ELECTRE multi-attribute decision-making method. Therefore, in view of the actual needs of the prior art, the present invention provides a method for preferentially analyzing transfer paths of a distribution network based on the ELECTRE multi-attribute decision-making method, which can perform power flow calculation, short-circuit calculation, and risk assessment by superimposing the base state file and transfer paths, obtain 5 indicators of each transfer path, and perform multi-attribute decision-making optimization of transfer paths based on ELECTRE, so as to scientifically, reasonably, and efficiently give the best transfer path through relatively simple manual judgment.

[0006] The implementation of this solution is based on the ELECTRE multi-attribute decision-making method. The process of realizing the optimal analysis of distribution network transfer paths mainly includes establishing multi-attribute technical indicators for decision-making, calculating indicators through power flow calculation, short-circuit calculation and risk assessment, selecting weights based on historical judgments, and constructing and standardizing decision matrices; determining priorities and sorting based on harmonious and disharmonious matrices, and finally facilitating manual selection to provide an optimal distribution network transfer path.

[0007] The present invention specifically adopts the following technical solutions: A distribution network transfer path optimization analysis method based on ELECTRE multi-attribute decision-making method: Obtain the grid operation mode, take the grid frame in the grid operation mode as the model, the operation state as the measurement, and select a group of expected faults as the object of the transfer path analysis; The initial operation mode superimposed with the expected fault is defined as the base mode, and the transfer path analysis of the base mode is performed to obtain multiple transfer schemes; Carry out power flow calculation, short-circuit calculation and risk assessment for each power transfer scheme, and calculate the path-related remaining capacity, voltage status, short-circuit current status and cumulative risk values ​​at all levels; The operation cost is calculated according to the number of switching actions of the power transfer scheme, and the standardized decision matrix is ​​constructed after normalizing each indicator according to the weight; The standardized decision matrix is ​​analyzed for harmony and disharmony, and each plan is prioritized and ranked; and a transfer plan is determined based on the priority and ranking.

[0008] Furthermore, the obtaining of the grid operation mode, taking the grid frame in the grid operation mode as a model, the operation state as measurement, and selecting a group of expected faults as the object of the power transfer path analysis specifically includes: Parse the grid operation mode file, obtain the models and measurements in the grid, and perform topological analysis on the grid models and measurements; According to the equipment connected to the bus in the power grid mode file, the topological analysis of the connection relationship is carried out for power flow calculation, short circuit calculation and risk assessment; Select the expected fault from the existing model, and define the related equipment as the object of the transfer path analysis and save it.

[0009] Furthermore, the initial operation mode superimposed with the expected fault is defined as the base mode, and the transfer path analysis is performed on the base mode to obtain multiple transfer schemes, specifically including: Anticipated fault superposition and topology analysis: The fault isolation operation achieved by disconnecting the switches associated with the fault point is simulated in the power grid model, and the boundary range of the power outage area is determined through topology analysis; Transfer supply path generation: Aiming to restore the largest power outage area, a non-loop transfer supply path is generated based on the following rules: Switch operation constraint: Each operation is based on a single switch pair. Only one switch is allowed to be closed and another switch is synchronously opened; Voltage level priority: Give priority to operating switches of high voltage levels; Path uniqueness: Different switch operation sequences correspond to independent transfer supply schemes until power supply cannot be further restored.

[0010] Furthermore, performing power flow calculation, short-circuit calculation and risk assessment on each transfer supply scheme, and calculating the remaining capacity, voltage condition, short-circuit current condition and cumulative risk value related to the path specifically includes: Safety verification calculation: Incorporate the operation sequence of the transfer supply scheme into the power grid model after the pre-fault, and perform power flow calculation, short-circuit calculation and risk assessment; The power flow calculation is used to obtain branch power flow values and node voltage values; The short-circuit calculation is used to obtain short-circuit current values of each node; The risk assessment generates a risk level weighted value based on a preset fault scenario set; Local index statistics and screening: Extract the branch power flow, node voltage and short-circuit current data within the topological expansion range of the transfer supply path, and statistically calculate their average values and over-limit ratios; If any of the following situations exist, eliminate this transfer supply scheme: a. The branch power flow exceeds the long-term allowable current-carrying capacity, the node voltage exceeds the operating limit, or the short-circuit current exceeds the switch breaking capacity; b. The risk level is lower than the preset safety threshold.

[0011] Furthermore, calculating the operation cost according to the number of switch actions of the transfer supply scheme, and constructing a standardized decision matrix after normalizing each index according to the weight specifically includes: Operation cost calculation: Calculate the total switch action cost of the transfer supply scheme according to the switch operation cost coefficient associated with the voltage level based on historical data; Index direction unification: Perform direction consistency processing on the five indexes of remaining capacity, voltage condition, short-circuit current condition, cumulative risk value and operation cost, where: The remaining capacity is positively correlated with the transfer supply effect, and the original value is directly retained; The voltage condition, short-circuit current condition and cumulative risk value are converted through mathematical transformation so that the larger the value, the better the transfer supply effect; Normalization and weighting: The indicators after unified direction are normalized using preset weights to generate a standardized decision matrix. The larger the value in the matrix, the better the transfer effect.

[0012] Furthermore, the standardized decision matrix is ​​subjected to harmony and disharmony analysis, and the priorities and rankings of the various schemes are determined as follows: for any pair of transfer schemes (k, l), the harmony index Ckl and disharmony index Dkl are calculated respectively, where: The harmony index Ckl is the sum of the weights of the indicators that make scheme k better than scheme l; The inharmony index Dkl is the ratio of the maximum standardized difference of each index of scheme k being inferior to scheme l to the maximum difference of all indexes; Set a harmony threshold and a disharmony threshold, and determine that solution k takes precedence over solution l if and only if Ckl is greater than the harmony threshold and Dkl is less than the disharmony threshold; A preference relationship matrix is ​​established based on the judgment results of all solution pairs, by eliminating the solution pairs that do not meet the threshold conditions and sorting the remaining solutions.

[0013] Furthermore, the specific implementation method of determining the power transfer plan according to priority and ranking is: based on the indicator data and preset weights of the standardized decision matrix, a set of recommended power transfer plans is output and stored in a database, and the power grid scheduling system calls and executes it.

[0014] A distribution network transfer path optimization analysis system based on ELECTRE multi-attribute decision-making method, comprising: The modeling module is used to obtain the grid operation mode, taking the grid frame in the grid operation mode as the model, the operation state as the measurement, and selecting a group of expected faults as the object of the transfer path analysis; A power transfer scheme generation module is used to define the initial operation mode superimposed with the expected fault as the base mode, perform power transfer path analysis on the base mode, and obtain multiple power transfer schemes; The indicator generation module is used to perform power flow calculation, short-circuit calculation and risk assessment for each power transfer scheme, calculate the path-related remaining capacity, voltage status, short-circuit current status and the cumulative value of each level of risk; calculate the operating cost according to the number of switch actions of the power transfer scheme; The standardized decision matrix construction module is used to construct a standardized decision matrix after normalizing each indicator according to its weight; The transfer scheme determination module is used to analyze the harmony and disharmony of the standardized decision matrix, determine the priority and ranking of each scheme, and determine the transfer scheme according to the priority and ranking.

[0015] In addition, an electronic device includes a memory, a processor, and a computer program stored on the memory and executable on the processor. The electronic device is characterized in that when the processor executes the program, the steps of the method for analyzing and selecting the optimal transfer path of a distribution network based on the ELECTRE multi-attribute decision-making method as described above are implemented.

[0016] A non-transitory computer-readable storage medium stores a computer program. The non-transitory computer-readable storage medium is characterized in that when the computer program is executed by a processor, the steps of the method for analyzing and selecting the optimal transfer path of a distribution network based on the ELECTRE multi-attribute decision-making method as described above are implemented.

[0017] Compared with the prior art, the present invention and its preferred solutions can effectively analyze the optimal transfer path of a power grid fault according to multiple attribute indicators, and realize the refined management of power grid faults. First, the present invention can perform power flow, short-circuit, and risk assessments on the base state of the power grid without a transfer path, and give the remaining capacity, voltage status, short-circuit current status, cumulative risk value at each level, and switch operation cost of different transfer paths. Then, these indicators are normalized to give a standardized decision matrix, and the harmony and disharmony of each scheme are analyzed for the standardized decision matrix, and the priority and ranking of each scheme are determined. Finally, it is realized that as long as a simple manual analysis is performed on this sorting result and indicators, the optimal transfer path can be given, which can effectively guide fault recovery. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The present invention will be further described in detail below with reference to the drawings and specific embodiments: Figure 1 It is a schematic diagram of the overall process of the method provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] In the following, specific embodiments of the present application will be described in detail with reference to the drawings. According to these detailed descriptions, those skilled in the art can clearly understand the present application and can implement the present application. Without departing from the principle of the present application, the features in different embodiments can be combined to obtain a new implementation manner, or some features in some embodiments can be replaced to obtain other preferred implementation manners.

[0020] To make the features and advantages of the present invention more obvious and understandable, specific embodiments are given below and described in detail in conjunction with the drawings as follows: As Figure 1 shown, it is a schematic diagram of the process of a method for analyzing and selecting the optimal transfer path of a distribution network based on the ELECTRE multi-attribute decision-making method provided by an embodiment of the present invention. The implementation solution based on ELECTRE includes: S1. Obtain the power grid operation mode, use the power grid framework in the power grid operation mode as the model, the operation state as the measurement, and select a set of contingency faults as the object for transfer path analysis; It can be understood that in the actual operation of the power grid, the load and the output of the generating units should be basically balanced to achieve the normal operation of the power grid. The states of numerous components and the magnitudes of the load and the output of the generating units constitute the power grid operation mode file. According to the equipment connected to the busbars in the power grid mode file, perform a topological analysis of the connection relationships. Directly connect all switches with the state of closed, and disconnect all switches with the state of open to convert from the busbar switch model to the node-branch model, which is convenient for power flow calculation, short-circuit current calculation, and risk assessment.

[0021] In a preferred embodiment, the specific implementation manner in step S1 (obtain the power grid operation mode, use the power grid framework in the power grid operation mode as the model, the operation state as the measurement, and select a set of contingency faults as the object for transfer path analysis) includes: S11. The power grid operation mode can be obtained from the SCADA system. The SCADA system is an important tool for power system monitoring and control. Export the data files from the SCADA system in a special format (the format of the model file is *.xml, and the format of the measurement file is *.dt), and parse them in a specified format to complete the acquisition of the model and measurement in the model and measurement files. The obtained model includes data such as busbars and components, and the obtained measurement data includes data such as switch states, load, and the output of the generating units. Then select the contingency faults to be studied from the existing model, and define these devices as the analysis objects for transfer path analysis and save them.

[0022] S2. Define the initial operation mode superimposed with the contingency faults as the base state mode, perform transfer path analysis on the base state mode, and give multiple transfer schemes; It can be understood that superimpose the contingency faults on the model of the initial operation mode, disconnect the originally closed components, and close the originally disconnected components. Then perform a topological analysis on this model, and based on the results of the topological analysis, perform transfer path analysis. Take one closed switch and one open switch as a pair of switches, with the criterion that there should be no loop network, and with the goal of restoring power supply as much as possible, and give all transfer paths.

[0023] In a preferred embodiment, the specific implementation manner in step S2 (define the initial operation mode superimposed with the contingency faults as the base state mode, perform transfer path analysis on the base state mode, and give multiple transfer schemes) includes: S21. Superimpose the contingency faults on the *.xml file and the *.dt file. The contingency faults include the isolation of the fault point and the opening of the switches in the power outage area, and then perform a topological analysis to analyze the topology near the contingency faults and give the power outage area after the contingency faults.

[0024] S22. Based on the area that is expected to be powered off after a pre-fault, taking one switch closing and one switch opening as a pair of switches, and following the principle that no loop network should occur, perform the operation of restoring power supply to the power-off area. This operation starts with closing the switch to restore power supply to the fault area. The operation is carried out starting from the high voltage level. If the high voltage level can restore power supply, then the high voltage level is first used to restore power supply. For those with alternative paths in the path, it is used as the second solution. Each solution is a unique switch operation sequence, and each solution ends when the power-off area can no longer be restored.

[0025] S3. Conduct power flow calculation, short-circuit calculation, and risk assessment for each power transfer scheme, and calculate four indicators: the remaining capacity related to the path, the voltage condition, the short-circuit current condition, and the cumulative risk value at each level. It can be understood that each power transfer scheme is incorporated into the model of the base state file and power flow calculation, short-circuit calculation, and risk assessment are carried out. After the calculation is completed, the electrical indicators of the two layers extended near the power transfer path are analyzed. For each branch, the average statistics and over-limit statistics of the remaining capacity of each branch are carried out, for each node, the average statistics and over-limit statistics of the voltage of each node are carried out, and for the short-circuit current, the average statistics and over-limit statistics of the short-circuit current flowing through the switch are carried out according to the most serious short-circuit current of each node. The risk calculation is carried out according to N-1 and same-pole N-2, and the level of the accident is determined according to the risk rating of each power grid for weighted statistics. For the power transfer paths where the branches or nodes have over-limits or the risk is below level 4, it is considered that they do not have grid security and are directly deleted.

[0026] In the preferred embodiment, the specific implementation manner in step S3 (conduct power flow calculation, short-circuit calculation, and risk assessment for each power transfer scheme, and calculate four indicators: the remaining capacity related to the path, the voltage condition, the short-circuit current condition, and the cumulative risk value at each level) includes: S31. Write each power transfer scheme into the calculation file containing the pre-fault. The power transfer scheme consists of multiple groups of switch opening and closing operations. Therefore, when writing into the calculation file, it is to perform the opening and closing operations on the switches. After the opening and closing operations, perform power flow calculation, short-circuit calculation, and risk assessment on the file. The power flow calculation uses the AC power flow method to obtain the voltages of all nodes and the power flows of all branches. The short-circuit current calculates all node short-circuit faults and calculates the maximum short-circuit current of each switch. The risk calculation is carried out according to N-1 and same-pole N-2, and multiple risk accidents corresponding to each pre-fault are given according to the risk rating of each power grid.

[0027] S32. First, perform over-limit statistics on all branches, nodes, and switches of the power grid. If the branch power flow exceeds the long-term carrying capacity, the node voltage exceeds the upper and lower limits of the node voltage, or the short-circuit current exceeds the breaking capacity of the switch, it is considered that the transfer supply plan does not meet the safety requirements, and the plan is directly excluded and does not participate in the subsequent ranking. If there are serious risk events in the power grid risk rating (such as risks at level 4 and below mentioned in the "Regulations on Emergency Disposal and Investigation of Electric Power Safety Accidents"), the plan is also directly excluded.

[0028] S33. To reduce the calculation amount, use all branches, nodes, and switches that expand two layers outward from the power outage area as the calculation amount of the index. The per-unit values of the branch power flow, node voltage, and short-circuit current are used for average value statistics, and the risk assessment results are used as the index with the number of times including weights.

[0029] S4. Calculate the operating cost according to the number of switch operations in the transfer supply plan, and normalize these five indicators according to the weights to give a standardized decision matrix. Calculate the cost value corresponding to the switch operation of each voltage level according to historical data, and calculate the corresponding operating cost according to the number of switch operations. After the calculation, normalize this indicator and the four indicators of the remaining capacity, voltage status, short-circuit current status, and cumulative risk value at all levels, and multiply by the weight to give a standardized decision matrix. The larger the indicator in this matrix, the better the transfer supply effect.

[0030] In the preferred embodiment, the specific implementation manner in step S4 (calculate the operating cost according to the number of switch operations in the transfer supply plan, and normalize these five indicators according to the weights to give a standardized decision matrix) includes: S41. According to historical data, manually or automatically calculate the cost value corresponding to the switch operation of each voltage level, and calculate the corresponding operating cost according to the number of switch operations. Considering the subsequent normalization process, set the switch operation coefficient of 110 kV to 3, the switch operation coefficient of 35 kV to 2, and the switch operation coefficient of 10 kV to 1 during the calculation. S42. Normalize the five indicators of the operating cost, remaining capacity, voltage status, short-circuit current status, and cumulative risk value at all levels, and convert all indicators so that the better the transfer supply effect, the larger the value. Among them, the larger the remaining capacity itself, the better the effect; the original voltage indicator should be closer to 1 for a better effect. If the voltage indicator is less than 1, use the original indicator. If it is greater than 1, the voltage indicator is (2 - voltage indicator); then perform normalization processing using xij = (xij - min(xj)) / (max(xj) - min(xj)).

[0031] The original short-circuit current indicator, cumulative risk value indicator, and switch operation indicator should be as small as possible. Therefore, transformation is required. Use xij = (max(x j ) - x ij ) / (max(x j ) - min(x j )) for processing to form a standardized decision matrix.

[0032] Preferably, the index weights are (W = {0.25, 0.20, 0.15, 0.25, 0.15}); Assume that through power flow calculation, short - circuit calculation and risk assessment, 3 available transfer paths are obtained, and their index values are as follows: Table 1: Results table of transfer paths

[0033] Table 2: Standardized decision matrix

[0034] S5. For the standardized decision matrix, perform harmony and disharmony analysis, and determine the priority and ranking for each scheme; It can be understood that for each pair of transfer schemes, harmony and disharmony analysis is carried out. The harmony index consists of the indices in Scheme 1 that are better than those in Scheme 2, while those in Scheme 2 that are better than Scheme 1 are put into the disharmony index. Thresholds are set for the harmony index and the disharmony index, and those below the thresholds are eliminated. The final remaining schemes are ranked according to the harmony and disharmony indices.

[0035] In the preferred embodiment, the specific implementation manner in step S5 (performing harmony and disharmony analysis on the standardized decision matrix and determining the priority and ranking for each scheme) includes: S51. Calculate the harmony index Ckl. The value of Ckl is the sum of all values where k is greater than l. The larger the Ckl, the greater the degree that Scheme k is better than Scheme l: C 12 = 0.25 + 0.05 + 0.125 + 0.09 = 0.515 C 13 = 0.25 + 0.013 = 0.38 C 21 = 0.2 C 23 = 0.283 C 31 = 0.55 C 32 = 0.55 S52. Calculate the disharmony index D kl , D klIt is the ratio of the maximum gap in the metrics where k is inferior to l to the maximum gap in all metrics: D 12 = max(0.07) / 0.25 = 0.28 D 13 = max(0.1, 0.125, 0.06) / 0.25 = 0.5 D 21 = max(0.165, 0.05, 0.125, 0.1) / 0.25 = 0.66 D 23 = max(0.15, 0.25, 0.15) / 0.25 = 1 D 31 = max(0.25, 0.13) / 0.25 = 1 D 32 = max(0.083, 0.2) / 0.25 = 0.8 S53, set the threshold to 0.5, for C kl Greater than the threshold and D kl The scenario less than the threshold can be recognized as the clear preference scenario: It can be seen that for C12 and D12 of Scenario 1, C12 is significantly greater than 0.5, indicating that the advantageous items of 1 are significantly better than those of 2. And D12 is less than 0.5, indicating that the disadvantageous items of 1 are not significantly worse than those of 2. Therefore, Scenario 1 is superior to Scenario 2. Although Scenario 3 is significantly better than Scenarios 1 and 2 in terms of advantageous items, it is also significantly worse than Scenarios 1 and 2 in terms of disadvantageous items. Therefore, it cannot be said that Scenario 3 is necessarily better than Scenarios 1 and 2. Therefore, through the above judgment, first remove Scenario 2, and retain Scenarios 1 and 3. When sorting, due to the excessive disadvantages of Scenario 3, Scenario 1 is ranked in front of Scenario 3.

[0036] S6, manually optimize the power transfer scenario according to the priority and sorting.

[0037] It can be understood that according to the five metrics of each scenario after sorting, manually optimize the power transfer scenario and store it in the database for future use.

[0038] In the preferred embodiment, in step S6 (manually optimize the power transfer scenario according to the priority and sorting, which can be displayed through the recommended power transfer scenario set via the man-machine interface, supporting the dispatcher to select the optimal scenario based on the real-time working conditions and issue an execution instruction), it includes: Among the five indicators of the above-mentioned power transfer path 1 and power transfer path 3, the remaining capacity and voltage of power transfer path 1 are better than those of power transfer path 3, while the short-circuit current, risk, and operation are inferior to those of power transfer path 1. At this time, it depends on the specific manual selection. If one values the power flow indicators after power transfer, that is, the remaining capacity and voltage, then he will choose power transfer path 1. If he values the fault indicators and operation indicators after power transfer, then he will choose power transfer path 3.

[0039] Based on the same inventive concept, the present invention further provides a computer device, which includes: one or more processors, and a memory for storing one or more computer programs; the program includes program instructions, and the processor is configured to execute the program instructions stored in the memory. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application-Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is used to implement one or more instructions, specifically for loading and executing one or more instructions in the computer storage medium to implement the above method.

[0040] It should be further noted that, based on the same inventive concept, the present invention further provides a computer storage medium, on which a computer program is stored, and the computer program, when run by a processor, executes the above method. The storage medium may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electrical, magnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples (non-exhaustive list) of the computer-readable storage medium include: an electrical connection having one or more wires, a portable computer disk, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium may be any tangible medium that contains or stores a program, and the program may be used by or combined with an instruction execution system, apparatus, or device.

[0041] In the description of this specification, the descriptions referring to terms such as "one embodiment", "example", "specific example", etc. mean that the specific features, structures, materials or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0042] The above shows and describes the basic principles, main features and advantages of the present disclosure. Those skilled in the art should understand that the present disclosure is not limited by the above embodiments, and what is described in the above embodiments and the specification only illustrates the principles of the present disclosure. Without departing from the spirit and scope of the present disclosure, the present disclosure will have various changes and improvements, and these changes and improvements all fall within the scope of the present disclosure claimed.

[0043] The present invention is not limited to the above best implementation manner. Anyone can obtain other various forms of the optimal analysis method for the distribution network transfer path based on the ELECTRE multi-attribute decision-making method under the inspiration of the present invention. All equal changes and modifications made according to the scope of the patent application of the present invention shall fall within the coverage scope of the present invention.

Claims

1. A distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method, characterized by: Obtain the grid operation mode, take the grid frame in the grid operation mode as the model, the operation state as the measurement, and select a group of expected faults as the object of the transfer path analysis; The initial operation mode superimposed with the expected fault is defined as the base mode, and the transfer path analysis of the base mode is performed to obtain multiple transfer schemes; Carry out power flow calculation, short-circuit calculation and risk assessment for each power transfer scheme, and calculate the path-related remaining capacity, voltage status, short-circuit current status and cumulative risk values ​​at all levels; The operation cost is calculated according to the number of switching actions of the power transfer scheme, and the standardized decision matrix is ​​constructed after normalizing each indicator according to the weight; The standardized decision matrix is ​​analyzed for harmony and disharmony, and each plan is prioritized and ranked; and a transfer plan is determined based on the priority and ranking.

2. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The obtaining of the grid operation mode, taking the grid frame in the grid operation mode as a model, the operation state as measurement, and selecting a group of expected faults as the object of the transfer path analysis specifically includes: Parse the grid operation mode file, obtain the models and measurements in the grid, and perform topological analysis on the grid models and measurements; According to the equipment connected to the bus in the power grid mode file, the topological analysis of the connection relationship is carried out for power flow calculation, short circuit calculation and risk assessment; Select the expected fault from the existing model, and define the related equipment as the object of the transfer path analysis and save it.

3. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The initial operation mode superimposed with the expected fault is defined as the base mode, and the transfer path analysis is performed on the base mode to obtain multiple transfer schemes, which specifically include: Anticipated fault superposition and topology analysis: The fault isolation operation achieved by disconnecting the switches associated with the fault point is simulated in the power grid model, and the boundary range of the power outage area is determined through topology analysis; Power transfer path generation: With the goal of restoring the largest power outage area, a non-ring network power transfer path is generated based on the following rules: Switch operation constraints: Each operation is based on a single switch pair, and only one switch is allowed to be closed and the other switch is opened synchronously; Voltage level priority: give priority to operating high voltage level switches; Path uniqueness: Different switch operation sequences correspond to independent power transfer schemes until power supply cannot be restored further.

4. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The flow calculation, short-circuit calculation and risk assessment are performed for each power transfer scheme, and the calculation of the path-related remaining capacity, voltage status, short-circuit current status and the accumulated value of risks at each level specifically include: Safety check calculation: Incorporate the operation sequence of the power transfer plan into the power grid model after the expected fault, and perform power flow calculation, short circuit calculation and risk assessment; The power flow calculation is used to obtain branch power flow values ​​and node voltage values; The short-circuit calculation is used to obtain the short-circuit current value of each node; The risk assessment generates a risk level weighted value based on a preset set of failure scenarios; Local indicator statistics and screening: Extract branch power flow, node voltage and short-circuit current data within the extended range of the transfer path topology, and calculate their average values ​​and over-limit ratios; If the following circumstances exist, the transfer plan will be eliminated: a. The branch current exceeds the long-term allowable current carrying capacity, the node voltage exceeds the operating limit, or the short-circuit current exceeds the switch interrupting capacity; b. The risk level is lower than the preset safety threshold.

5. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The operation cost is calculated according to the number of switching actions of the power transfer scheme, and each index is normalized according to the weight to construct a standardized decision matrix, which specifically includes: Operation cost calculation: Calculate the total cost of switching operations for the power transfer scheme based on the switching operation cost coefficient associated with the historical data and voltage level; Unification of indicator directions: The remaining capacity, voltage condition, short-circuit current condition, risk accumulation value and operating cost are processed for directional consistency, among which: The remaining capacity is positively correlated with the transfer effect, so the original value is retained directly; Voltage conditions, short-circuit current conditions and risk accumulation values ​​are converted into numerical values ​​through mathematical transformation. The larger the value, the better the power transfer effect. Normalization and weighting: The indicators after unified direction are normalized using preset weights to generate a standardized decision matrix. The larger the value in the matrix, the better the transfer effect.

6. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The standardized decision matrix is ​​analyzed for harmony and disharmony, and the priorities and rankings of the various schemes are determined as follows: for any pair of transfer schemes (k, l), the harmony index Ckl and the disharmony index Dkl are calculated respectively, where: The harmony index Ckl is the sum of the weights of the indicators that make scheme k better than scheme l; The inharmony index Dkl is the ratio of the maximum standardized difference of each index of scheme k being inferior to scheme l to the maximum difference of all indexes; Set a harmony threshold and a disharmony threshold, and determine that solution k takes precedence over solution l if and only if Ckl is greater than the harmony threshold and Dkl is less than the disharmony threshold; A preference relationship matrix is ​​established based on the judgment results of all solution pairs, by eliminating the solution pairs that do not meet the threshold conditions and sorting the remaining solutions.

7. The distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method according to claim 1 is characterized by: The specific implementation method of determining the power transfer plan according to priority and ranking is: based on the indicator data and preset weights of the standardized decision matrix, a set of recommended power transfer plans is output and stored in a database, and the power grid scheduling system calls and executes it.

8. A distribution network transfer path optimization analysis system based on ELECTRE multi-attribute decision-making method, characterized in that: include: The modeling module is used to obtain the grid operation mode, taking the grid frame in the grid operation mode as the model, the operation state as the measurement, and selecting a group of expected faults as the object of the transfer path analysis; The power transfer scheme generation module is used to define the initial operation mode superimposed with the expected fault as the base mode, analyze the power transfer path of the base mode, and obtain multiple power transfer schemes; The indicator generation module is used to perform power flow calculation, short-circuit calculation and risk assessment for each power transfer scheme, and calculate the path-related remaining capacity, voltage status, short-circuit current status and the cumulative value of each level of risk; Calculate the operating cost based on the number of switching operations of the power transfer scheme; The standardized decision matrix construction module is used to construct a standardized decision matrix after normalizing each indicator according to its weight; A transfer scheme determination module, used to analyze the harmony and disharmony of the standardized decision matrix, and determine the priority and ranking of each scheme; The transfer plan can be determined based on priority and ranking.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the program, the steps of the distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method as described in any one of claims 1 to 7 are implemented.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the distribution network transfer path optimization analysis method based on the ELECTRE multi-attribute decision-making method as described in any one of claims 1 to 7 are implemented.

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