A power grid key fault screening method and system based on operation index analysis
By screening the key fault sets of the power grid based on the method of operation indicator analysis, the problem that the existing technology cannot effectively screen key faults in the power system with a high proportion of new energy is solved, efficient online safety analysis and fault identification are achieved, and the stability and computational efficiency of the power grid operation are improved.
Patent Information
- Application Number
- CN202410272546.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-03-11
- Publication Date
- 2025-10-21
- Estimated Expiration
- 2044-03-11
AI Technical Summary
In power systems with a high proportion of renewable energy, existing online safety analysis technologies are unable to effectively screen critical grid faults, resulting in large amounts of computation and long processing time, and are unable to meet the online safety analysis needs of renewable energy power systems.
Through the method based on operation index analysis, the key fault set of the power grid is screened, including obtaining the key fault set A1 and the non-key fault set B1 of the power grid. Based on the fault severity sorting and correlation analysis, the key fault set A2 of the power grid and the weakly correlated fault set C1 are screened, and finally the key fault set of the power grid is established.
Effectively reduce the number of faults, improve the efficiency of online safety analysis, save computing resources, identify high-risk faults, and provide technical support for power grid dispatching and operation.
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Figure CN118278798B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of online safety and stability calculation and analysis of power systems, and more specifically, to a method and system for screening key power grid faults based on operation index analysis. Background Art
[0002] In scenarios where a high proportion of renewable energy is used in power systems, the random nature of renewable energy output increases the uncertainty of grid operation. The diversity of operating modes and faults significantly increases the computational complexity of online safety analysis. Compared with traditional electromagnetic conversion equipment such as generators, new equipment such as DC transmission and renewable energy generation, which heavily utilize power electronics technology, exhibit significant differences in physical structure, control methods, dynamic response, and interaction with other equipment. This fundamentally alters the stable operating mechanisms of power systems, significantly increasing the difficulty of understanding operational characteristics and analyzing stability.
[0003] Existing online safety analysis technology is based on a deterministic operating mode and performs calculations for a fixed set of expected faults, which may miss risk points in power grid operation. At the same time, transient analysis indicators are time-consuming and computationally intensive, and can no longer meet the needs of online safety analysis in scenarios with a high proportion of renewable energy power systems. Therefore, combined with indicator analysis, an intelligent screening method for key power grid faults is proposed to overcome the problem of reduced online assessment guidance caused by uncertain operating modes, and to realize a new type of online safety risk assessment for power systems with a high proportion of renewable energy. Summary of the Invention
[0004] The technical solution of the present invention provides a method and system for screening key faults in a power grid based on operation index analysis, so as to solve the problem of how to determine key faults in a power grid based on operation index analysis.
[0005] In order to solve the above problems, the present invention provides a method for screening key faults in a power grid based on operation index analysis, the method comprising:
[0006] Based on the analysis results of the key operating indicators of the power grid, the power grid faults are screened to obtain the power grid key fault set A1 and the power grid non-key fault set B1;
[0007] Sorting the key grid operation indicators based on the severity of the grid faults, screening the grid faults based on the sorting results, and obtaining a grid key fault set A2 and a grid non-key fault set B2;
[0008] Based on the correlation analysis results of the key operating indicators of the power grid, the non-critical power grid fault set B1 and the non-critical power grid fault set B2 are screened to obtain a weakly correlated fault set C1;
[0009] Establishing a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1;
[0010] Based on the grid critical fault set, a grid critical fault is determined.
[0011] Preferably, the screening of power grid faults based on the analysis results of the key power grid operation indicators to obtain the power grid key fault set A1 and the power grid non-key fault set B1 includes:
[0012] Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
[0013] Preferably, it also includes:
[0014] The grid critical fault set of each indicator is calculated separately and then the union is taken to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1.
[0015] Preferably, the ranking of the key grid operation indicators based on the severity of the grid faults, screening of grid faults based on the ranking results, and obtaining the grid key fault set A2 and the grid non-key fault set B2 include:
[0016] Calculate the indicator results of each key grid operation indicator, normalize the indicator results, and superimpose the indicator weights to obtain the severity level of each key grid operation indicator under each fault, and obtain the grid key fault set A2 and grid non-critical fault set B2 sorted by the severity of the key grid operation indicators:
[0017]
[0018]
[0019] Among them, Index i is the value of the key operating indicator i of the power grid, Index i,min is the minimum value of the key operating index i of the power grid, Index i,max is the maximum value of the key operating index i of the power grid, C Index is the severity evaluation value corresponding to the fault set, w i is the weight of the key operation indicator i of the power grid, i is the key operation indicator number of the power grid, and n is the number of key operation indicators of the power grid.
[0020] Preferably, it is also used to determine the correlation analysis results of key power grid operation indicators:
[0021] Calculating the key operating indicators of the power grid under each fault condition, and establishing a correlation matrix of the key operating indicators of the power grid under each fault condition based on the key operating indicators;
[0022] The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficients of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of the key grid operation indicators.
[0023] According to another aspect of the present invention, a system for screening critical power grid faults based on operation index analysis is provided, the system comprising:
[0024] A first acquisition unit is configured to screen power grid faults based on analysis results of key power grid operation indicators, and acquire a power grid key fault set A1 and a power grid non-key fault set B1;
[0025] A second acquisition unit is used for sorting the key grid operation indicators based on the severity of the grid faults, screening the grid faults based on the sorting results, and obtaining the grid key fault set A2 and the grid non-critical fault set B2;
[0026] a third acquiring unit, configured to screen the non-critical grid fault set B1 and the non-critical grid fault set B2 based on the correlation analysis result of the key grid operation indicators, and acquire a weakly correlated fault set C1;
[0027] An establishing unit, configured to establish a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1;
[0028] A determining unit is configured to determine a critical power grid fault based on the critical power grid fault set.
[0029] Preferably, the first acquisition unit is configured to screen power grid faults based on the analysis results of the key power grid operation indicators, obtain the key power grid fault set A1 and the non-key power grid fault set B1, and further configured to:
[0030] Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
[0031] Preferably, the first acquiring unit is further configured to:
[0032] Calculate the grid critical fault set for each indicator and then take the union to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1. Preferably, the second acquisition unit is used to sort the grid key operating indicators based on the severity of the grid faults, perform grid fault screening based on the sorting results, obtain the grid critical fault set A2 and the grid non-critical fault set B2, and further used to:
[0033] Calculate the indicator results of each key grid operation indicator, normalize the indicator results, and superimpose the indicator weights to obtain the severity level of each key grid operation indicator under each fault, and obtain the grid key fault set A2 and grid non-critical fault set B2 sorted by the severity of the key grid operation indicators:
[0034]
[0035]
[0036] Among them, Index i is the value of the key operating indicator i of the power grid, Index i,min is the minimum value of the key operating index i of the power grid, Index i,max is the maximum value of the key operating index i of the power grid, C Index is the severity evaluation value corresponding to the fault set, w i is the weight of the key operation indicator i of the power grid, i is the key operation indicator number of the power grid, and n is the number of key operation indicators of the power grid.
[0037] Preferably, the third acquisition unit is further configured to determine a correlation analysis result of key power grid operation indicators:
[0038] Calculating the key operating indicators of the power grid under each fault condition, and establishing a correlation matrix of the key operating indicators of the power grid under each fault condition based on the key operating indicators;
[0039] The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficients of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of the key grid operation indicators.
[0040] The present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and the computer program is used to execute a method for screening key faults of a power grid based on operation index analysis.
[0041] The present invention provides an electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein,
[0042] The memory is a memory for storing instructions executable by the processor;
[0043] The processor is configured to read the executable instructions from the memory and execute the instructions to implement a method for screening key faults in a power grid based on operation indicator analysis.
[0044] The technical solution of the present invention provides a method and system for screening grid critical faults based on operation index analysis, wherein the method includes: screening grid faults based on the analysis results of grid key operation indicators to obtain grid critical fault set A1 and grid non-critical fault set B1; sorting grid key operation indicators based on the severity of grid faults, screening grid faults based on the sorting results to obtain grid critical fault set A2 and grid non-critical fault set B2; screening grid non-critical fault set B1 and grid non-critical fault set B2 based on the correlation analysis results of grid key operation indicators to obtain weakly correlated fault set C1; establishing a grid critical fault set based on grid critical fault set A1, grid critical fault set A2, and weakly correlated fault set C1; and determining grid critical faults based on the grid critical fault set. The technical solution of the present invention proposes a method and system for intelligent screening of grid critical faults based on operation index analysis, which carries out fault screening based on key operation indicator analysis and fault screening based on key indicator severity sorting, and incorporates the screened critical faults into the grid critical fault set, which is conducive to stable verification of the grid critical fault set. BRIEF DESCRIPTION OF THE DRAWINGS
[0045] A more complete understanding of exemplary embodiments of the present invention may be obtained by referring to the following drawings:
[0046] Figure 1 This is a flow chart of a method for screening key power grid faults based on operation index analysis according to a preferred embodiment of the present invention;
[0047] Figure 2 A flow chart of a method for screening key power grid faults based on operation index analysis according to a preferred embodiment of the present invention; and
[0048] Figure 3 The figure is a structural diagram of a power grid critical fault screening system based on operation index analysis according to a preferred embodiment of the present invention. DETAILED DESCRIPTION
[0049] Exemplary embodiments of the present invention will now be described with reference to the accompanying drawings. However, the present invention may be embodied in many different forms and is not limited to the embodiments described herein. These embodiments are provided to provide a thorough and complete disclosure of the present invention and to fully convey the scope of the present invention to those skilled in the art. The terminology used in the exemplary embodiments shown in the accompanying drawings is not intended to limit the present invention. In the accompanying drawings, identical elements are denoted by the same reference numerals.
[0050] Unless otherwise specified, the terms used herein (including technical terms) have the meanings commonly understood by those skilled in the art. In addition, it is understood that terms defined in commonly used dictionaries should be understood to have the same meanings as those in the context of the relevant fields, and should not be understood as idealized or overly formal meanings.
[0051] Figure 1 The figure is a flow chart of a method for screening key faults in a power grid based on analysis of operating indicators according to a preferred embodiment of the present invention.
[0052] The invention proposes an intelligent screening method for key power grid faults based on operation indicator analysis, carries out fault screening based on key operation indicator analysis and fault screening based on key indicator severity ranking, incorporates the key faults obtained through screening into the key power grid fault set, conducts indicator correlation analysis on the non-critical faults obtained through screening, incorporates weakly correlated faults into the key power grid fault set, and performs stability verification on the key power grid fault set, providing technical support for dispatching and operation personnel.
[0053] The present invention provides a method for screening key faults in a power grid based on operation index analysis, the method comprising:
[0054] Step 101: Based on the analysis results of the key operation indicators of the power grid, the power grid faults are screened to obtain the key power grid fault set A1 and the non-key power grid fault set B1;
[0055] Preferably, based on the analysis results of the key operating indicators of the power grid, the power grid faults are screened to obtain the key power grid fault set A1 and the non-key power grid fault set B1, including:
[0056] Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
[0057] Preferably, it includes:
[0058] The key operating indicators of the power grid include the frequency change rate after the power grid disturbance. When the power grid is disturbed at point k, the power changes ΔP, and the disturbance occurs 0 + At this moment, the voltage at point k is V k ∠δ k0 becomes V k ∠(δ k0 +δ kΔ ), the node voltage phase within each generator does not change suddenly, and the disturbance power ΔP causes the disturbance active power distributed to each generator to be:
[0059]
[0060]
[0061] Where ΔP i (0 + ) is the disturbance active power allocated to generator i, E i is the transient potential of node i in the generator, V k is the voltage of load node k, B ik is the transfer susceptance between the generator node i and the load node k, δ ik0 is the phase angle difference between the power angle of generator i and the voltage phase angle of load node k before the disturbance, ΔP(0 + ) is the disturbance active power of the power grid at the moment the disturbance occurs, E j is the transient potential of node j in the generator, B jk is the transfer susceptance between the generator node j and the load node k, δ jk0 is the phase angle difference between the power angle of generator j and the voltage phase angle of load node k before the disturbance, H i is the grid inertia constant, Δf i (0 + ) is the grid frequency at the moment the disturbance occurs, i is the generator number, j is the generator number, n is the number of generators,
[0062] The frequency change rate of each fault scenario in the full fault set of the power grid is calculated respectively, and the frequency change rate of each fault scenario is sorted to obtain the fault set severity ranking result based on the frequency change rate index. Based on the sorting results, the power grid critical fault set A11 and the power grid non-critical fault set B11 are screened out.
[0063] Preferably, it also includes:
[0064] The grid critical fault set of each indicator is calculated separately and then the union is taken to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1.
[0065] The present invention conducts grid fault screening based on the analysis of key grid operation indicators to obtain a grid key fault set A1 and a grid non-key fault set B1.
[0066] The present invention analyzes the key operating indicators of the power grid for a single indicator i, analyzes the factors affecting the indicator results, sorts the power grid faults, and obtains the key power grid fault set A1i and the non-key power grid fault set B1i under the single indicator.
[0067] When the key operation index analysis of the power grid of the present invention is carried out in combination with multiple indicators, the results of each indicator are calculated separately, and then the union is taken to obtain the key fault set A1 and the non-key fault set B1 based on the key operation index analysis of the power grid:
[0068]
[0069] Step 102: sorting key grid operation indicators based on grid fault severity, screening grid faults based on the sorting results, and obtaining a grid key fault set A2 and a grid non-key fault set B2;
[0070] Preferably, the key grid operation indicators are sorted based on the severity of the grid faults, and grid faults are screened based on the sorting results to obtain the grid key fault set A2 and the grid non-key fault set B2, including:
[0071] Calculate the indicator results of each key grid operation indicator, normalize the indicator results, and superimpose the indicator weights to obtain the severity level of each key grid operation indicator under each fault, and obtain the grid key fault set A2 and grid non-critical fault set B2 sorted by the severity of the key grid operation indicators:
[0072]
[0073]
[0074] Among them, Index i is the value of the key operating indicator i of the power grid, Index i,min is the minimum value of the key operating index i of the power grid, Index i,max is the maximum value of the key operating index i of the power grid, C Index is the severity evaluation value corresponding to the fault set, w i is the weight of the key operation indicator i of the power grid, i is the key operation indicator number of the power grid, and n is the number of key operation indicators of the power grid.
[0075] Preferably, it is also used to determine the correlation analysis results of key power grid operation indicators:
[0076] Calculate the index results of the key operating indicators of the power grid under each fault, and establish the correlation matrix of the key operating indicators of the power grid under each fault based on the index results;
[0077] The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficient of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of key grid operation indicators.
[0078] The present invention carries out grid fault screening based on the severity ranking of key grid operation indicators, and obtains a grid critical fault set A2 and a grid non-critical fault set B2;
[0079] The severity ranking of the key operating indicators of the power grid in the present invention analyzes multiple indicators, calculates each indicator, normalizes the indicator calculation results, superimposes the indicator weights, obtains the severity program of the operating indicators under each fault, and sorts them to obtain the power grid key fault set A2 and the power grid non-critical fault set B2 based on the severity ranking of the key operating indicators of the power grid.
[0080]
[0081]
[0082] Step 103: Based on the correlation analysis results of the key operating indicators of the power grid, the power grid non-critical fault set B1 and the power grid non-critical fault set B2 are screened to obtain a weakly correlated fault set C1;
[0083] Based on the correlation analysis of key power grid operation indicators, the present invention screens the power grid non-critical fault set B1 and the power grid non-critical fault set B2 to obtain the strongly correlated fault set C2 and the weakly correlated fault set C1;
[0084] The correlation analysis of key operating indicators of the power grid in the present invention is carried out for multiple faults, and the indicator results under each fault are calculated. By analyzing the correlation matrix of the indicators under each fault, the correlation between the indicators is evaluated based on the correlation strength coefficient, and the correlation between the faults is obtained accordingly.
[0085] Step 104: establishing a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2, and the weakly correlated fault set C1;
[0086] The present invention integrates the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1, calculates the union, and obtains the grid critical fault set.
[0087] Step 105: Determine a critical power grid fault based on the critical power grid fault set.
[0088] S5. Combined with the key fault set of the power grid, carry out stability verification of the power grid operation mode to obtain the risk of online safe and stable operation of the power grid.
[0089] The present invention proposes a method for intelligent screening of critical power grid faults based on operational index analysis. This method, based on online rolling calculations, can automatically identify high-risk faults during real-time power grid operation, compared to fixed fault sets. This addresses the issue of reduced applicability of existing online safety assessment methods in scenarios with a high proportion of new energy, and improves the reliability of online safety analysis. Compared to the full power grid fault set, the intelligent screening of critical power grid faults based on operational index analysis can effectively reduce the number of faults, improve the efficiency of online safety analysis, save computing resources, conduct detailed transient stability checks for high-risk faults, identify weak points in power grid operation, and provide technical support for power grid dispatching and operation.
[0090] The following examples illustrate the embodiments of the present invention:
[0091] The present invention provides a method for intelligently screening critical power grid faults based on operation index analysis, comprising the following steps:
[0092] S1. Based on the analysis of key grid operation indicators, grid fault screening is carried out to obtain the grid key fault set A1 and the grid non-key fault set B1;
[0093] S2. Based on the severity ranking of key grid operation indicators, grid fault screening is carried out to obtain a grid critical fault set A2 and a grid non-critical fault set B2;
[0094] S3. Based on the correlation analysis of key power grid operation indicators, the power grid non-critical fault set B1 and the power grid non-critical fault set B2 are screened to obtain a strongly correlated fault set C2 and a weakly correlated fault set C1;
[0095] S4, combining the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1, and obtaining the grid critical fault set;
[0096] S5. Combined with the key fault set of the power grid, carry out stability verification of the power grid operation mode to obtain the risk of online safe and stable operation of the power grid.
[0097] The key grid operation index analysis of the present invention is carried out for a single index i, factors affecting the index result are analyzed, grid faults are sorted, and a grid key fault set A1i and a grid non-key fault set B1i under a single index are obtained.
[0098] Take the frequency change rate after disturbance as an example: after the grid is disturbed, for different units, the power ΔP borne by the unit i Different, inertia constant H i Different, the unit frequency change rate at the moment of disturbance is different. When a disturbance occurs at point k, the power change is ΔP, and the disturbance occurs 0 + At this moment, ignoring the electromagnetic transient process, the voltage at point k is Vk ∠δ k0 becomes V k ∠(δ k0 +δ kΔ ), the node voltage phase within each generator does not change suddenly, and the disturbance power ΔP causes the disturbance active power distributed to each generator to be:
[0099]
[0100]
[0101] The frequency change rate after the disturbance is calculated quickly, and the frequency change rate of the units under various fault scenarios in the full fault set of the power grid can be quickly calculated and sorted, and the fault set severity ranking results based on the frequency change rate indicator are obtained, screening out the key fault set A11 of the power grid with a high proportion of new energy and the non-key fault set B11 of the power grid.
[0102] When the key grid operation indicator analysis of the present invention is carried out in combination with multiple indicators, the results of each indicator are calculated separately, and then the union is taken to obtain the key fault set A1 based on the key grid operation indicator analysis and the non-key grid fault set B1.
[0103]
[0104] The severity ranking of key power grid operation indicators of the present invention analyzes multiple indicators, calculates each indicator, normalizes the indicator calculation results, superimposes the indicator weights, obtains the severity program of the operation indicators under each fault, and sorts them to obtain the power grid key fault set A2 and the power grid non-critical fault set B2 based on the severity ranking of the key power grid operation indicators.
[0105]
[0106]
[0107] This method uses short-circuit current, disturbance power, and the rate of change of frequency after a disturbance to rank the severity of the fault set. The indicator weights are calculated based on the degree of dispersion of the indicators. The greater the degree of dispersion of the indicator, the smaller its information entropy value, and the greater the influence (i.e., weight) of the indicator on the comprehensive evaluation. The calculated weights for the short-circuit current, disturbance power, and rate of change of frequency after a disturbance are 0.3, 0.5, and 0.2, respectively.
[0108] The correlation analysis of the key operating indicators of the power grid of the present invention is carried out for multiple faults, and the indicator results under each fault are calculated. By analyzing the correlation matrix of the indicators under each fault, the correlation between the indicators is evaluated based on the correlation strength coefficient, and the correlation between the faults is obtained accordingly.
[0109] This paper uses data from a real power grid as an example. The grid's full fault set consists of 685 AC and DC faults. The intelligent screening method for critical grid faults, based on operational indicator analysis, identified 35 critical faults. A transient stability scan of the full fault set revealed 16 faults with low transient stability margins. The 35 screened faults included 16 of these faults, thus verifying the effectiveness of this method.
[0110] The present invention proposes a method for intelligent screening of critical power grid faults based on operational index analysis. This method, based on online rolling calculations, can automatically identify high-risk faults during real-time power grid operation, compared to fixed fault sets. This addresses the issue of reduced applicability of existing online safety assessment methods in scenarios with a high proportion of new energy, and improves the reliability of online safety analysis. Compared to the full power grid fault set, the intelligent screening of critical power grid faults based on operational index analysis can effectively reduce the number of faults, improve the efficiency of online safety analysis, save computing resources, conduct detailed transient stability checks for high-risk faults, identify weak points in power grid operation, and provide technical support for power grid dispatching and operation.
[0111] A grid critical fault screening system based on operation index analysis in a preferred embodiment of the present invention corresponds to a grid critical fault screening method based on operation index analysis in another preferred embodiment of the present invention, and will not be described in detail here.
[0112] like Figure 3 As shown, the present invention provides a power grid key fault screening system based on operation index analysis, the system comprising:
[0113] The first acquisition unit 301 is configured to screen power grid faults based on the analysis results of the key power grid operation indicators, and acquire a power grid key fault set A1 and a power grid non-key fault set B1;
[0114] The second acquisition unit 302 is used for the acquisition unit, which is used to sort the key operation indicators of the power grid based on the severity of the power grid fault, screen the power grid faults based on the sorting results, and obtain the power grid key fault set A2 and the power grid non-key fault set B2;
[0115] The third acquisition unit 303 is configured to screen the power grid non-critical fault set B1 and the power grid non-critical fault set B2 based on the correlation analysis result of the power grid key operation indicators to obtain a weakly correlated fault set C1;
[0116] An establishing unit 304 is configured to establish a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2, and the weakly correlated fault set C1;
[0117] The determining unit 305 is configured to determine a critical power grid fault based on the critical power grid fault set.
[0118] Preferably, the first acquisition unit 301 is configured to screen power grid faults based on the analysis results of the key power grid operation indicators, and acquire a key power grid fault set A1 and a non-key power grid fault set B1, and is further configured to:
[0119] Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
[0120] Preferably, the first acquiring unit 301 is further configured to:
[0121] The key operating indicators of the power grid include the frequency change rate after the power grid disturbance. When a disturbance occurs at point k in the power grid, the power changes ΔP. At the moment o+ when the disturbance occurs, the voltage at point k changes from V k ∠δ k0 becomes V k ∠(δ k0 +δ kΔ ), the node voltage phase within each generator does not change suddenly, and the disturbance power ΔP causes the disturbance active power distributed to each generator to be:
[0122]
[0123]
[0124] Where ΔP i (0 + ) is the disturbance active power allocated to generator i, E i is the transient potential of node i in the generator, V k is the voltage of load node k, B ik is the transfer susceptance between the generator node i and the load node k, δ ik0 is the phase angle difference between the power angle of generator i and the voltage phase angle of load node k before the disturbance, ΔP(0 + ) is the disturbance active power of the power grid at the moment the disturbance occurs, E j is the transient potential of node j in the generator, B jk is the transfer susceptance between the generator node j and the load node k, δ jk0 is the phase angle difference between the power angle of generator j and the voltage phase angle of load node k before the disturbance, H i is the grid inertia constant, Δf i (0 + ) is the grid frequency at the moment the disturbance occurs, i is the generator number, j is the generator number, n is the number of generators,
[0125] The frequency change rate of each fault scenario in the full fault set of the power grid is calculated respectively, and the frequency change rate of each fault scenario is sorted to obtain the fault set severity ranking result based on the frequency change rate index. Based on the sorting results, the power grid critical fault set A11 and the power grid non-critical fault set B11 are screened out.
[0126] Preferably, the first acquiring unit 301 is further configured to:
[0127] The grid critical fault set of each indicator is calculated separately and then the union is taken to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1.
[0128] Preferably, the second acquisition unit 321 is configured to sort the key grid operation indicators based on the severity of the grid faults, screen the grid faults based on the sorting results, and obtain the grid key fault set A2 and the grid non-key fault set B2, and further configured to:
[0129] Calculate the indicator results of each key grid operation indicator, normalize the indicator results, and superimpose the indicator weights to obtain the severity level of each key grid operation indicator under each fault, and obtain the grid key fault set A2 and grid non-critical fault set B2 sorted by the severity of the key grid operation indicators:
[0130]
[0131]
[0132] Among them, Index i is the value of the key operating indicator i of the power grid, Index i,min is the minimum value of the key operating index i of the power grid, Index i,max is the maximum value of the key operating index i of the power grid, C Index is the severity evaluation value corresponding to the fault set, w i is the weight of the key operation indicator i of the power grid, i is the key operation indicator number of the power grid, and n is the number of key operation indicators of the power grid.
[0133] Preferably, the third acquisition unit 303′ is further configured to determine a correlation analysis result of key grid operation indicators:
[0134] Calculate the index results of the key operating indicators of the power grid under each fault, and establish the correlation matrix of the key operating indicators of the power grid under each fault based on the index results;
[0135] The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficient of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of key grid operation indicators.
[0136] The present invention provides a computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program, and the computer program is used to execute a method for screening key faults of a power grid based on operation index analysis.
[0137] The present invention provides an electronic device, characterized in that the electronic device comprises: a processor and a memory; wherein,
[0138] Memory for storing processor-executable instructions;
[0139] The processor is used for reading executable instructions from a memory and executing the instructions to implement a method for screening key faults of a power grid based on analysis of operating indicators.
[0140] It will be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The solutions in the embodiments of the present invention may be implemented in various computer languages, for example, the object-oriented programming language Java and the interpreted scripting language JavaScript.
[0141] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0142] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.
[0143] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.
[0144] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.
[0145] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.
[0146] The invention has been described above with reference to a few embodiments. However, it is readily apparent to a person skilled in the art that other embodiments than the ones disclosed above are equally within the scope of the invention, as defined by the appended patent claims.
[0147] Generally, all terms used in the claims are to be interpreted according to their ordinary meaning in the technical field, unless explicitly defined otherwise herein. All references to "a / the [means, component, etc.]" are to be interpreted openly as referring to at least one instance of the means, component, etc., unless explicitly stated otherwise. The steps of any method disclosed herein do not necessarily need to be performed in the exact order disclosed, unless explicitly stated otherwise.
Claims
1. A method for screening critical power grid faults based on operation index analysis, the method comprising: Based on the analysis results of key operating indicators of a single power grid, power grid faults are screened to obtain a set of key power grid faults A1 and a set of non-key power grid faults B1; Sorting key grid operation indicators based on the severity of grid faults, screening grid faults based on the sorting results, and obtaining a grid key fault set A2 and a grid non-critical fault set B2, including: calculating an indicator result of each key grid operation indicator, normalizing the indicator result, and superimposing the indicator weight to obtain the severity of the key grid operation indicator under each fault, and obtaining the grid key fault set A2 and the grid non-critical fault set B2 sorted based on the severity of the key grid operation indicators; screening the grid non-critical fault set B1 and the grid non-critical fault set B2 based on the correlation analysis result of the key grid operation indicators to obtain a weakly correlated fault set C1; Establishing a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1; Based on the grid critical fault set, a grid critical fault is determined.
2. The method according to claim 1, wherein the screening of power grid faults based on the analysis results of a single power grid key operating indicator to obtain a power grid key fault set A1 and a power grid non-key fault set B1 comprises: Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
3. The method according to claim 2, further comprising: The grid critical fault set of each indicator is calculated separately and then the union is taken to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1.
4. The method according to claim 1 is further used to determine the correlation analysis results of key operating indicators of the power grid: Calculating the key operating indicators of the power grid under each fault condition, and establishing a correlation matrix of the key operating indicators of the power grid under each fault condition based on the key operating indicators; The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficients of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of the key grid operation indicators.
5. A power grid critical fault screening system based on operation index analysis, the system comprising: A first acquisition unit is configured to screen power grid faults based on the analysis results of a single power grid key operating indicator, and acquire a power grid key fault set A1 and a power grid non-key fault set B1; The second acquisition unit is used for sorting the key operation indicators of the power grid based on the severity of the power grid fault, screening the power grid faults based on the sorting results, and obtaining the key power grid fault set A2 and the non-key power grid fault set B2, including: calculating the indicator result of each key power grid operation indicator, normalizing the indicator result, and superimposing the indicator weight to obtain the severity of the key power grid operation indicator under each fault, and obtaining the key power grid fault set A2 and the non-key power grid fault set B2 sorted based on the severity of the key power grid operation indicator; a third acquiring unit, configured to screen the non-critical grid fault set B1 and the non-critical grid fault set B2 based on the correlation analysis result of the key grid operation indicators, and acquire a weakly correlated fault set C1; An establishing unit, configured to establish a grid critical fault set based on the grid critical fault set A1, the grid critical fault set A2 and the weakly correlated fault set C1; A determining unit is configured to determine a critical power grid fault based on the critical power grid fault set.
6. The system according to claim 5, wherein the first acquisition unit is configured to screen power grid faults based on the analysis results of a single power grid key operating indicator to obtain a power grid key fault set A1 and a power grid non-key fault set B1, and further configured to: Based on the analysis results of a single indicator i among the key grid operation indicators, grid faults are screened to obtain the grid key fault set A1i and the grid non-key fault set B1i under the single indicator i.
7. The system according to claim 6, wherein the first acquiring unit is further configured to: The grid critical fault set of each indicator is calculated separately and then the union is taken to obtain the grid critical fault set A1. The complement of the grid critical fault set A1 is the grid non-critical fault set B1.
8. The system according to claim 5, wherein the third acquisition unit is further configured to determine a correlation analysis result of key power grid operation indicators: Calculating the key operating indicators of the power grid under each fault condition, and establishing a correlation matrix of the key operating indicators of the power grid under each fault condition based on the key operating indicators; The correlation of key grid operation indicators is evaluated based on the correlation strength matrix coefficients of the correlation matrix, and the correlation of key grid faults is determined based on the correlation of the key grid operation indicators.
9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and the computer program is used to execute the method according to any one of claims 1 to 4.
10. An electronic device, characterized in that: The electronic device includes: a processor and a memory; wherein, The memory is a memory for storing instructions executable by the processor; The processor is configured to read the executable instructions from the memory and execute the instructions to implement the method according to any one of claims 1 to 4.
Citation Information
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