Pumped storage unit phase modulation supporting effect influence factor evaluation method and system and storage medium

Abstract

The invention discloses a pumped storage unit phase modulation supporting effect influence factor evaluation method and system and a storage medium. The method comprises the steps that power grid basic data, pumped storage unit near-area network topology and the starting number of pumped storage unit near-area conventional units are obtained, and the electrical distance between a pumped storage unit and a fault point is calculated; simulating a scene after a direct-current fault based on basic data of a power grid, and monitoring voltage information of a converter station after the direct-current fault and near-region new energy low-crossing active quantity of each pumping and storage unit after the fault; after each pumped storage unit participates in phase modulation operation, the transient voltage rise of a converter station is used as a reference sequence, and the electrical distance between the pumped storage unit and a fault point, the near-region new energy low-pass active quantity of the pumped storage unit, the near-region network topology of the pumped storage unit and the starting number of near-region conventional units of the pumped storage unit are used as a comparison sequence; calculating the correlation degree between each comparison sequence and the reference sequence; and adjusting the proportion of the factors influencing the phase modulation effect of the pumped storage unit according to the correlation degree sorting result. According to the method, the problem of single phase modulation effect evaluation of the pumped storage unit in the prior art is solved, and the pumped storage phase modulation effect is maximized.

Description

Technical Field

[0001] The present invention relates to power grid operation technology, and in particular to a method, system and storage medium for evaluating factors affecting the phase-shifting support effect of a pumped-storage unit. Background Art

[0002] Pumped-storage power stations, as important flexible regulation resources for power grids, play a key role in suppressing transient voltage rise, enhancing transient stability, and improving power quality through their phase-shifting capabilities. However, existing evaluation methods for planning and site selection of pumped-storage power stations and optimizing their phase-shifting support often use a single metric (such as the "nearest support" principle) to evaluate phase-shifting effectiveness, often ignoring the coupled effects of multiple factors such as electrical distance, low-voltage ride-through characteristics of renewable energy sources, and network topology. This makes it difficult for existing methods to comprehensively consider these key factors to optimize the phase-shifting effect of pumped-storage power stations. Therefore, an optimization method is needed that can fully consider the coupled effects of multiple factors and maximize the phase-shifting support effect of pumped-storage power stations. Summary of the Invention

[0003] Purpose of the invention: The purpose of the present invention is to provide a method, system and storage medium for evaluating factors affecting the phase-shifting support effect of a pumped-storage unit, which comprehensively considers the coupling influence of multiple factors such as electrical distance, low-voltage ride-through characteristics of new energy, and network topology, so as to maximize the phase-shifting support effect of a pumped-storage unit.

[0004] Technical solution: To achieve the above-mentioned purpose, the present invention provides a method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit, comprising the following steps:

[0005] S1. Obtain basic data of the power grid, network topology in the vicinity of the pumped-storage unit, and the number of conventional units in operation in the vicinity of the pumped-storage unit;

[0006] S2. Calculate the electrical distance between the pumped storage unit and the fault point;

[0007] S3. Simulate the post-DC fault scenario based on basic grid data, monitor the voltage information of the converter station after the DC fault, and the low-energy active power of each pumped storage unit in the vicinity after the fault;

[0008] S4. After each pumped storage unit participates in phase adjustment operation, the transient voltage rise of the converter station is used as a reference sequence, and the electrical distance between the pumped storage unit and the fault point, the low-power active energy of new energy sources in the vicinity of the pumped storage unit, the network topology in the vicinity of the pumped storage unit, and the number of conventional units in operation in the vicinity of the pumped storage unit are used as a comparison sequence;

[0009] S5. performing dimensionless processing on the data in the comparison sequence and calculating the correlation between each comparison sequence and the reference sequence;

[0010] S6. According to the correlation ranking results, adjust the proportion of factors affecting the phase adjustment effect of the pumped storage unit to optimize the phase adjustment effect of the pumped storage unit.

[0011] Preferably, the power grid data is simulation calculation data of the existing power grid including the pumped storage unit; the pumped storage unit near-area network topology is the connection mode and spatial distribution of power sources, substations, transmission lines and load elements in the power grid, and the node degree of the pumped storage unit near-area network topology is The number of conventional units in operation near the pumped storage area is , is the number of pumped storage power stations in the existing power grid data.

[0012] Preferably, the electrical distance between each pumped storage unit and the fault point is ,in is the mutual impedance between the pumped storage unit node A and the fault node B.

[0013] Preferably, the DC fault scenario refers to a DC phase-change failure fault, and the converter station voltage information is the transient voltage rise of the converter station after each pumped storage unit participates in the phase adjustment operation. The new energy low voltage ride-through active power is the active power of the new energy in the vicinity of the pumped storage unit after the fault enters the low voltage ride-through , is the number of pumped storage power stations in the existing power grid data.

[0014] Preferably, the reference sequence is represented by: The comparison sequence corresponding to the electrical distance between the pumped storage unit and the fault point is expressed as: The comparison sequence corresponding to the low-power active energy of the new energy near the pumped storage unit is expressed as: , the comparison sequence corresponding to the network topology near the pumped storage unit is expressed as: The comparison sequence corresponding to the number of conventional units in the vicinity of the pumped storage unit is expressed as: , is the number of pumped storage power stations in the existing power grid data.

[0015] Preferably, the method for dimensionless processing of the data in the comparison sequence is: for each comparison sequence, normalize the first element, convert other elements into relative values ​​based on the first element, and obtain the normalized comparison sequence:

[0016] .

[0017] Preferably, the method for calculating the degree of association between each comparison sequence and the reference sequence is: first, each normalized comparison sequence is compared with the corresponding position elements of the reference sequence one by one, and the absolute difference is calculated to obtain a difference sequence corresponding to each comparison sequence:

[0018]

[0019] Determine the minimum and maximum values ​​in each difference sequence, and calculate the correlation coefficient of each element in each difference sequence:

[0020] ,

[0021] in, Corresponding difference sequence 、 、 、 , is the resolution coefficient, usually taken as 0.5;

[0022] Calculate the degree of relatedness between each comparison sequence and the reference sequence:

[0023] .

[0024] Preferably, the proportion of factors affecting the phase-shifting effect of the pumped-storage unit is adjusted according to the correlation sorting results as follows: excluding the influence factor of electrical distance, for future or existing pumped-storage power grids, the proportion of pumped-storage near-area network topology nodes, pumped-storage near-area conventional power sources and new energy start-ups are adjusted according to the correlation sorting results to maximize the pumped-storage phase-shifting support effect.

[0025] The present invention provides a system for evaluating factors affecting the phase adjustment support effect of a pumped storage unit, comprising the following modules:

[0026] Data acquisition module: used to obtain basic data of the power grid, network topology in the vicinity of the pumped-storage unit, and the number of conventional units in operation in the vicinity of the pumped-storage unit;

[0027] Electrical distance calculation module: used to calculate the electrical distance between the pumped storage unit and the fault point;

[0028] Fault simulation module: used to simulate the post-DC fault scenario based on basic grid data, monitor the voltage information of the converter station after the DC fault, and the low-energy active power of each pumped storage unit in the vicinity after the fault;

[0029] Sequence construction module: This module uses the transient voltage rise of the converter station after each pumped storage unit participates in phase adjustment operation as a reference sequence, and uses the electrical distance between the pumped storage unit and the fault point, the low-voltage active power of renewable energy in the vicinity of the pumped storage unit, the network topology in the vicinity of the pumped storage unit, and the number of conventional units in operation in the vicinity of the pumped storage unit as a comparison sequence;

[0030] Sequence association calculation module: used to perform dimensionless processing on the data in the comparison sequence and calculate the association between each comparison sequence and the reference sequence;

[0031] Pumped-storage unit phase adjustment effect factor adjustment module: According to the correlation ranking results, adjust the proportion of factors affecting the pumped-storage unit phase adjustment effect to optimize the pumped-storage unit phase adjustment effect.

[0032] The present invention provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute any one of the above-mentioned methods for evaluating factors affecting the phase-shifting support effect of pumped storage units.

[0033] Beneficial effects: The present invention has the following advantages: The present invention obtains the order of factors affecting the phase-shifting effect of pumped storage units through the grey correlation analysis method, optimizes the factors affecting the phase-shifting support effect of pumped storage units according to the correlation order, and maximizes the phase-shifting support effect of pumped storage units. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 Schematic diagram of this method. DETAILED DESCRIPTION

[0035] The technical solution of the present invention is described in detail below with reference to the embodiments and drawings.

[0036] like Figure 1 As shown, the method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit according to the present invention comprises the following steps:

[0037] S1. Obtain basic data of the power grid, network topology in the vicinity of the pumped-storage unit, and the number of conventional units in operation in the vicinity of the pumped-storage unit.

[0038] The power grid data is simulation calculation data of the existing power grid including the pumped storage units.

[0039] The network topology near the pumped storage unit is the connection mode and spatial distribution of power sources, substations, transmission lines and load elements in the power grid. The node degree of the network topology near the pumped storage unit is .

[0040] The number of conventional units in operation near the pumped storage area is , is the number of pumped storage power stations in the existing power grid data.

[0041] S2. Calculate the electrical distance between the pumped storage unit and the fault point.

[0042] The electrical distance between each pumped storage unit and the fault point is ,in is the mutual impedance between the pumped storage unit node A and the fault node B.

[0043] S3. Simulate the post-DC fault scenario based on the basic data of the power grid, monitor the voltage information of the converter station after the DC fault, and the low-voltage active energy of the new energy in the vicinity of each pumped storage unit after the fault.

[0044] The DC fault scenario refers to a DC phase-change failure fault. The converter station voltage information is the transient voltage rise of the converter station after each pumped storage unit participates in phase-shifting operation. The new energy low voltage ride-through active power is the active power of the new energy in the vicinity of the pumped storage unit after the fault enters the low voltage ride-through , is the number of pumped storage power stations in the existing power grid data.

[0045] S4. After each pumped storage unit is involved in phase adjustment operation, the transient voltage rise of the converter station is used as the reference sequence , the electrical distance between the pumped storage unit and the fault point, the low-power active energy of new energy near the pumped storage unit, the network topology near the pumped storage unit, and the number of conventional units in operation near the pumped storage unit are used as comparison sequences and expressed as: 、 、 、 .

[0046] S5. Dimensionless processing is performed on the data in the comparison sequence, and the correlation between each comparison sequence and the reference sequence is calculated, including the following:

[0047] The method for dimensionless processing of the data in the comparison sequence is as follows: for each comparison sequence, normalize the first element and convert other elements into relative values ​​based on the first element to obtain the normalized comparison sequence: .

[0048] The method for calculating the correlation between each comparison sequence and the reference sequence is as follows: first, compare each normalized comparison sequence with the corresponding position elements of the reference sequence one by one, calculate the absolute difference, and obtain the difference sequence corresponding to each comparison sequence:

[0049]

[0050] Determine the minimum and maximum values ​​in each difference sequence, and calculate the correlation coefficient of each element in each difference sequence:

[0051] ,

[0052] in, Corresponding difference sequence 、 、 、 , is the resolution coefficient, usually taken as 0.5;

[0053] Calculate the degree of relatedness between each comparison sequence and the reference sequence:

[0054] .

[0055] S6. According to the correlation ranking results, adjust the proportion of factors affecting the phase adjustment effect of the pumped storage unit to optimize the phase adjustment effect of the pumped storage unit. Specifically, remove the influence of electrical distance factors. For future or existing pumped storage power grids, according to the correlation ranking results, adjust the proportion of pumped storage near-area network topology nodes, pumped storage near-area conventional power sources and new energy start-up to maximize the pumped storage phase adjustment support effect.

Claims

1. A method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit, characterized in that: The following steps are involved: S1. Obtain basic data of the power grid, network topology in the vicinity of the pumped-storage unit, and the number of conventional units in operation in the vicinity of the pumped-storage unit; S2. Calculate the electrical distance between the pumped storage unit and the fault point; S3. Simulate the post-DC fault scenario based on basic grid data, monitor the voltage information of the converter station after the DC fault, and the low-energy active power of each pumped storage unit in the vicinity after the fault; S4. After each pumped storage unit participates in phase adjustment operation, the transient voltage rise of the converter station is used as a reference sequence, and the electrical distance between the pumped storage unit and the fault point, the low-power active energy of new energy sources in the vicinity of the pumped storage unit, the network topology in the vicinity of the pumped storage unit, and the number of conventional units in operation in the vicinity of the pumped storage unit are used as a comparison sequence; S5. performing dimensionless processing on the data in the comparison sequence and calculating the correlation between each comparison sequence and the reference sequence; S6. According to the correlation ranking results, adjust the proportion of factors affecting the phase adjustment effect of the pumped storage unit to optimize the phase adjustment effect of the pumped storage unit.

2. The evaluation method for factors affecting the phase adjustment support effect of a pumped storage unit according to claim 1 is characterized in that: The grid data is the simulation calculation data of the existing grid including the pumped storage unit; the network topology near the pumped storage unit is the connection mode and spatial distribution of the power source, substation, transmission line and load elements in the grid, and the node degree of the network topology near the pumped storage unit is The number of conventional units in operation near the pumped storage area is , is the number of pumped storage power stations in the existing power grid data.

3. The evaluation method for factors affecting the phase adjustment support effect of a pumped storage unit according to claim 1 is characterized in that: The electrical distance between each pumped storage unit and the fault point is ,in is the mutual impedance between the pumped storage unit node A and the fault node B.

4. The evaluation method for factors affecting the phase adjustment support effect of a pumped storage unit according to claim 1 is characterized in that: The DC fault scenario refers to a DC phase-change failure fault. The converter station voltage information is the transient voltage rise of the converter station after each pumped storage unit participates in phase-shifting operation. The new energy low voltage ride-through active power is the active power of the new energy in the vicinity of the pumped storage unit after the fault enters the low voltage ride-through , is the number of pumped storage power stations in the existing power grid data.

5. The method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit according to claim 4, characterized in that: The reference sequence is represented by: The comparison sequence corresponding to the electrical distance between the pumped storage unit and the fault point is expressed as: The comparison sequence corresponding to the low-power active energy of the new energy near the pumped storage unit is expressed as: , the comparison sequence corresponding to the network topology near the pumped storage unit is expressed as: The comparison sequence corresponding to the number of conventional units in the vicinity of the pumped storage unit is expressed as: , is the number of pumped storage power stations in the existing power grid data.

6. The evaluation method for factors affecting the phase adjustment support effect of a pumped storage unit according to claim 5, characterized in that: The method for dimensionless processing of the data in the comparison sequence is as follows: for each comparison sequence, the first element is normalized, and the other elements are converted into relative values ​​based on the first element, and the comparison sequence after normalization is obtained, which are respectively expressed as: 。 7. The method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit according to claim 6, characterized in that: The method for calculating the correlation between each comparison sequence and the reference sequence is as follows: first, each normalized comparison sequence is compared with the corresponding position elements of the reference sequence one by one, and the absolute difference is calculated to obtain the difference sequence corresponding to each comparison sequence: ； Determine the minimum and maximum values ​​in each difference sequence, and calculate the correlation coefficient of each element in each difference sequence: ， in, Corresponding difference sequence 、 、 、 , is the resolution coefficient, usually taken as 0.5; Calculate the degree of relatedness between each comparison sequence and the reference sequence: 。 8. The method for evaluating factors affecting the phase adjustment support effect of a pumped storage unit according to claim 1, characterized in that: According to the correlation ranking results, the proportion of factors affecting the phase adjustment effect of the pumped storage unit is adjusted as follows: excluding the influence factor of electrical distance, for future or existing pumped storage power grids, according to the correlation ranking results, the proportion of pumped storage near-area network topology nodes, pumped storage near-area conventional power sources and new energy start-up is adjusted to maximize the pumped storage phase adjustment support effect.

9. A system for evaluating factors affecting the phase adjustment support effect of a pumped storage unit, characterized in that: Includes the following modules: Data acquisition module: used to obtain basic data of the power grid, network topology in the vicinity of the pumped-storage unit, and the number of conventional units in operation in the vicinity of the pumped-storage unit; Electrical distance calculation module: used to calculate the electrical distance between the pumped storage unit and the fault point; Fault simulation module: used to simulate the post-DC fault scenario based on basic grid data, monitor the voltage information of the converter station after the DC fault, and the low-energy active power of each pumped storage unit in the vicinity after the fault; Sequence construction module: This module uses the transient voltage rise of the converter station after each pumped storage unit participates in phase adjustment operation as a reference sequence, and uses the electrical distance between the pumped storage unit and the fault point, the low-voltage active power of renewable energy in the vicinity of the pumped storage unit, the network topology in the vicinity of the pumped storage unit, and the number of conventional units in operation in the vicinity of the pumped storage unit as a comparison sequence; Sequence association calculation module: used to perform dimensionless processing on the data in the comparison sequence and calculate the association between each comparison sequence and the reference sequence; Pumped-storage unit phase adjustment effect factor adjustment module: According to the correlation ranking results, adjust the proportion of factors affecting the pumped-storage unit phase adjustment effect to optimize the pumped-storage unit phase adjustment effect.

10. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions that, when executed by a computing device, cause the computing device to perform any one of the methods according to claims 1 to 8.

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