Power distribution network fault section locating method and system considering feeder terminal reliability

Abstract

The application belongs to the field of power distribution network fault section positioning, and provides a power distribution network fault section positioning method and system considering feeder terminal reliability, which is used for obtaining a cause-effect relationship matrix and a fault information matrix based on fault information of all nodes when a section fails; obtaining a position information matrix of the fault section based on the cause-effect relationship matrix and the fault information matrix; judging whether the position information matrix of the fault section contains other elements except "1" and "0", if yes, the feeder terminal unit has a false alarm or a missed alarm, taking the section corresponding to the number "1" as a candidate fault section, and constructing a fault information reliability matrix and an influence factor matrix; obtaining the fault section based on the directional criterion constructed based on the above matrices.

Description

Technical Field

[0001] This invention belongs to the field of distribution network fault location, and particularly relates to a method and system for distribution network fault location that takes into account the reliability of feeder terminals. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] When a fault occurs in a distribution network, quickly and accurately locating and isolating the faulty section to reduce the outage area and shorten the outage time is a crucial aspect of distribution automation systems. Matrix algorithms, as master station location algorithms, are widely used due to their computational simplicity and fast location speed. However, when false alarms or omissions occur in the information uploaded by feeder terminal units (FTUs) to the master station, location errors can occur, potentially leading to delayed fault resolution and harm to the distribution network. Therefore, finding a fault-tolerant master station location method is of great significance.

[0004] To improve the efficiency and fault tolerance of fault location in distribution networks, many scholars have improved the matrix location algorithm used in distribution network fault location, including the following measures:

[0005] (1) Improvement of the matrix construction process: In order to improve fault tolerance and computational efficiency, the existing technology introduces the terminal directional overcurrent information into the fault discrimination matrix and proposes information correction cost. By correcting the fault information sequence, the fault tolerance of the algorithm is improved to a certain extent. However, when the number of terminal errors increases, the fault tolerance of this method is poor.

[0006] (2) Combining matrix algorithm with optimization algorithm: In order to improve fault tolerance, the existing technology proposes a distribution network fault location method that combines matrix algorithm with optimization algorithm. This method integrates the advantages of matrix algorithm and optimization algorithm, and improves the fault tolerance and effectiveness of matrix method. However, optimization algorithm may have local optimal solution, which may lead to location error.

[0007] (3) Combining matrix algorithms with mathematical knowledge: Existing technologies calculate the action rate and false action rate of fault indicators and combine them with the characteristics of section fault credibility under the condition of satisfying the decision table. This transforms the problem of determining the largest suspected fault section into the problem of finding the maximum value of section fault credibility. However, the calculation process is relatively complicated. Summary of the Invention

[0008] To address at least one of the technical problems mentioned above, this invention provides a method and system for locating fault sections in a distribution network that considers the reliability of feeder terminals. It employs a combination of feeder terminal reliability and matrix algorithms to achieve the effect of correctly locating fault sections even when false alarms or omissions occur in the information uploaded from the feeder terminal to the master station, thereby improving the efficiency and fault tolerance of the matrix location algorithm.

[0009] To achieve the above objectives, the present invention adopts the following technical solution:

[0010] The first aspect of the present invention provides a method for locating fault sections in a distribution network considering the reliability of feeder terminals, comprising the following steps:

[0011] Obtain fault information for all nodes when a section fails;

[0012] The causal relationship matrix and the fault information matrix are obtained based on the fault information of all nodes when a section fails.

[0013] The location information matrix of the fault section is obtained based on the causal relationship matrix and the fault information matrix;

[0014] Determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has caused a false alarm or missed alarm. The section corresponding to the number "1" is taken as the candidate fault section, and a fault information reliability matrix and an influence factor matrix are constructed. Based on the fault information reliability matrix and the influence factor matrix, a directional criterion is constructed to obtain the true fault section.

[0015] A second aspect of the present invention provides a distribution network fault section location system that takes into account the reliability of feeder terminals, comprising:

[0016] The fault information acquisition module is used to acquire fault information of all nodes when a fault occurs in a section;

[0017] The location information construction module is used to obtain a causal relationship matrix and a fault information matrix based on the fault information of all nodes when a fault occurs in a section; and to obtain the location information matrix of the faulty section based on the causal relationship matrix and the fault information matrix.

[0018] The fault section location module is used to determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit will report a false alarm or a missed alarm. The section corresponding to the number "1" will be used as a candidate fault section. The fault information reliability matrix and the influence factor matrix will be constructed. Based on the fault information reliability matrix and the influence factor matrix, the orientation criteria will be constructed to obtain the true fault section.

[0019] A third aspect of the present invention provides a computer-readable storage medium.

[0020] A computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps in the distribution network fault section location method considering feeder terminal reliability as described above.

[0021] A fourth aspect of the present invention provides a computer device.

[0022] A computer device includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the distribution network fault section location method considering feeder terminal reliability as described above.

[0023] Compared with the prior art, the beneficial effects of the present invention are:

[0024] This invention combines the reliability of feeder terminals with a matrix algorithm, achieving the ability to correctly locate faulty sections even when false alarms or missed alarms occur in the information uploaded from the feeder terminal to the master station. This improves the efficiency and fault tolerance of the matrix positioning algorithm. When a fault occurs in the distribution network, it is necessary to locate the fault as quickly as possible to facilitate rapid fault handling, reduce the outage area, and shorten the outage time. The matrix algorithm, as a master station positioning algorithm, is characterized by its simple calculation and fast positioning speed, making it highly effective for fault location in distribution networks.

[0025] Advantages of additional aspects of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. Attached Figure Description

[0026] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0027] Figure 1 This is a flowchart of a distribution network fault section location method considering feeder terminal reliability provided in an embodiment of the present invention. Detailed Implementation

[0028] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0029] It should be noted that the following detailed description is illustrative and intended to provide further explanation of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0030] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the scope of exemplary embodiments according to the invention. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms "comprising" and / or "including" are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0031] Example 1

[0032] like Figure 1 As shown, this embodiment provides a method for locating fault sections in a distribution network that considers the reliability of feeder terminals, including the following steps:

[0033] Step 1: Obtain fault information for all nodes when a fault occurs in the section;

[0034] The initial data acquired refers to the probability p of each feeder terminal uploading fault information correctly, calculated based on historical data. c1 The probability that no fault information was uploaded and that the information was correct is p. c2 .

[0035] Step 2: Obtain the causal relationship matrix A and the fault information matrix G based on the fault information of the nodes when a fault occurs in the section;

[0036] In step 2, the causal relationship matrix A contains elements a. ij a ij The value of is constructed using the following formula;

[0037]

[0038] The fault information matrix G contains elements g. i Then g i Values ​​are determined according to the following rules:

[0039]

[0040] Step 3: Obtain the location information matrix L of the faulty section based on matrices A and G;

[0041] Let l i Let l be an element in matrix L. i Values ​​are determined according to the following rules:

[0042]

[0043] Matrices A, G, and L satisfy the following relationship:

[0044] L = A -1 G (4)

[0045] Step 4: Determine whether the location information matrix L of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has a false alarm or missed alarm, and the section corresponding to the number "1" is taken as the candidate fault section.

[0046] Construct a fault information reliability matrix and an influence factor matrix; based on the above matrices, construct a directional criterion to obtain the actual fault section.

[0047] When there are no false alarms or missed alarms, the elements in matrix L contain only one "1" and all other elements are "0". When the elements in matrix L contain elements other than "1" and "0", it is considered that a false alarm or missed alarm has occurred.

[0048] Using the segments corresponding to the "1" elements in matrix L as candidate fault segments, we obtain the set of candidate fault segments {L}. m ,L n (m and n represent the fault section numbers. If there are a total of h sections, then 1 ≤ m ≤ h, 1 ≤ n ≤ h, and m ≠ n).

[0049] In step 4, the method for constructing the fault information reliability matrix is ​​as follows:

[0050] Obtain the actual transmitted fault information matrix and segment L in the candidate faults. m The fault information matrix correctly uploaded by the feeder terminal unit;

[0051] Set column vector B m Based on the relationship between the correctly uploaded fault information matrix and the corresponding positions of the actually uploaded fault information matrix, the column vector B is modified. m The element at the corresponding position;

[0052] Following the same method, continue constructing the candidate fault segment L. n The column vector B corresponding to the fault occurs n ;

[0053] Based on column vector B m and column vector B n Construct a reliability matrix for fault information.

[0054] Specifically, for example, suppose segment L in the candidate fault segment... m When a fault occurs, the fault information matrix that is correctly uploaded is G0, while the fault information matrix that is actually uploaded is G1.

[0055] When a fault occurs in a section, ideally, the feeder terminal will upload either "1" or "0". Arranging the data uploaded by all feeder terminals in sequence yields the correctly uploaded fault information matrix G0. However, in reality, due to environmental factors, the information uploaded by the feeder terminals may be incorrect. For example, it might upload "0" instead of "1", or "1" instead of "0". In this case, arranging the data uploaded by all feeder terminals in sequence yields the actual fault information matrix G1.

[0056] Set column vector B m The elements therein can be determined as follows:

[0057] ① When the corresponding elements in G0 and G1 are both "1", set B m Change the element at the corresponding position in p. c1 When the corresponding elements in G0 and G1 are both "0", then B is set to "0". m Change the element at the corresponding position in p. c2 ;

[0058] ② When an element at a certain position in G0 is "1" and the corresponding element at the same position in G1 is "0", then B... m Change the element at the corresponding position in the text to 1-p. c1 .

[0059] ③ When an element at a certain position in G0 is "0" and the corresponding element at the same position in G1 is "1", then B... m Change the element at the corresponding position in the text to 1-p. c2 .

[0060] Based on the above process, we can obtain B. m Using the same method, continue constructing when candidate fault segment L... n The column vector B corresponding to the fault occurs n .

[0061] Then the reliability matrix of the fault information is A1 = [B m T B n T ].

[0062] In step 4, the method for constructing the influence factor matrix is ​​as follows: by combining the definitions of positive and negative influence factors, the fault information reliability matrix is ​​replaced to obtain an influence factor matrix composed of positive and negative influence factors.

[0063] The positive influence factor is:

[0064]

[0065] In the formula, N + p(S) represents the number of "1" elements in matrix G1. x ) represents the matrix B corresponding to the x-th element of matrix G1 being "1". m The value of the x-th element in the dataset. This indicates that the position of all elements "1" corresponds to B. m The sum of the values ​​of elements at the same position.

[0066] The negative impact factor:

[0067]

[0068] In the formula, N - p(S) represents the number of zero elements in matrix G1. y ) represents the matrix B corresponding to the y-th element of matrix G1 being "0". m The value of the y-th element in the equation. This indicates that the position of all elements "0" corresponds to B. m The sum of the values ​​of elements at the same position.

[0069] Based on the above definition, matrix A1 can be rewritten as the influence factor matrix A. m ={z ij + , z ij -}

[0070] In step 4, the construction process of the orientation criterion is as follows:

[0071] Let F = A m G1 = [f m f n The fault section corresponding to the largest value in the result is used as the location result.

[0072] For example: if the maximum value is |f m If |f|, then the m-th candidate segment can be located as the faulty segment. n If so, then the nth candidate segment can be identified as the faulty segment.

[0073] Example 2

[0074] This embodiment provides a distribution network fault section location system that considers the reliability of feeder terminals, including:

[0075] The fault information acquisition module is used to acquire fault information of all nodes when a fault occurs in a section;

[0076] The location information construction module is used to obtain a causal relationship matrix and a fault information matrix based on the fault information of all nodes when a fault occurs in a section; and to obtain the location information matrix of the faulty section based on the causal relationship matrix and the fault information matrix.

[0077] The fault section location module is used to determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has a false alarm or missed alarm. The section corresponding to the number "1" is taken as the candidate fault section, and a fault information reliability matrix and an influence factor matrix are constructed. Based on the above matrices, the orientation criteria are constructed to obtain the fault section.

[0078] The fault section location module is used to determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has a false alarm or missed alarm. The section corresponding to the number "1" is taken as the candidate fault section, and a fault information reliability matrix and an influence factor matrix are constructed. Based on the above matrices, the orientation criteria are constructed to obtain the fault section.

[0079] Example 3

[0080] This embodiment provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps in the distribution network fault section location method considering feeder terminal reliability as described in Embodiment 1.

[0081] Example 4

[0082] This embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the steps in the distribution network fault section location method considering feeder terminal reliability as described in Embodiment 1.

[0083] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of hardware embodiments, software embodiments, or embodiments combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage and optical storage) containing computer-usable program code.

[0084] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0085] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0086] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0087] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), or random access memory (RAM), etc.

[0088] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for locating fault sections in a distribution network considering the reliability of feeder terminals, characterized in that, The steps include the following: Obtain fault information for all nodes when a section fails; The causal relationship matrix and the fault information matrix are obtained based on the fault information of all nodes when a section fails. The location information matrix of the fault section is obtained based on the causal relationship matrix and the fault information matrix; Determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has a false alarm or missed alarm. The section corresponding to the number "1" is taken as the candidate fault section, and the fault information reliability matrix and influence factor matrix are constructed. The true fault section is obtained by constructing a directional criterion based on the fault information reliability matrix and the influence factor matrix. The process of constructing the fault information reliability matrix is ​​as follows: Obtain the actual transmitted fault information matrix and segment L in the candidate faults. m The fault information matrix correctly uploaded by the feeder terminal unit; Set column vector B m Based on the relationship between the correctly uploaded fault information matrix and the corresponding positions of the actually uploaded fault information matrix, the column vector B is modified. m The element at the corresponding position; Following the same method, continue constructing the candidate fault segment L. n The column vector B corresponding to the fault occurs n ; Based on column vector B m and column vector B n Construct a fault information reliability matrix.

2. The method for locating fault sections in a distribution network considering the reliability of feeder terminals as described in claim 1, characterized in that, The setting of column vector B m Based on the relationship between the correctly uploaded fault information matrix and the corresponding positions of the actually uploaded fault information matrix, the column vector B is modified. m The elements at the corresponding positions specifically include: When the corresponding elements in G0 and G1 are both "1", then B m Change the element at the corresponding position in p. c1 p c1 The probability of uploading fault information correctly; when the corresponding elements in G0 and G1 are both "0", then B... m Change the element at the corresponding position in p. c2 p c2 G0 represents the probability of a fault being uploaded but the information is correct, G1 represents the fault information matrix that was uploaded correctly, and G0 represents the fault information matrix that was actually uploaded. When an element at a certain position in G0 is "1" and the corresponding element at a certain position in G1 is "0", then B... m Change the element at the corresponding position in the text to 1-p. c1 ; When an element at a certain position in G0 is "0" and the corresponding element at a certain position in G1 is "1", then B... m Change the element at the corresponding position in the text to 1-p. c2 .

3. The method for locating fault sections in a distribution network considering the reliability of feeder terminals as described in claim 1, characterized in that, The process of constructing the influence factor matrix is ​​as follows: by combining the definitions of positive and negative influence factors, the fault information reliability matrix is ​​replaced to obtain an influence factor matrix that combines positive and negative influence factors.

4. The method for locating fault sections in a distribution network considering the reliability of feeder terminals as described in claim 3, characterized in that, The positive influence factor is: In the formula, in the formula, N + This indicates the number of "1" elements in matrix G1. p ( S x ) represents the matrix B corresponding to the x-th element of matrix G1 being "1". m The value of the x-th element in the dataset. This indicates that the position of all elements "1" corresponds to B. m The sum of the values ​​of elements at the same position.

5. The method for locating fault sections in a distribution network considering the reliability of feeder terminals as described in claim 3, characterized in that, The negative impact factor: In the formula, N - This indicates the number of "0" elements in matrix G1. p ( S y ) represents the matrix B corresponding to the y-th element of matrix G1 being "0". m The value of the y-th element in the dataset. This indicates that the position of all elements "0" corresponds to B. m The sum of the values ​​of elements at the same position.

6. The method for locating fault sections in a distribution network considering the reliability of feeder terminals as described in claim 1, characterized in that, The method of constructing directional criteria based on the fault information reliability matrix and influence factor matrix to obtain the fault segment includes: The fault information reliability matrix is ​​rewritten as an impact factor matrix; By combining the influence factor matrix and the matrix actually transmitted when a fault occurs in a candidate fault segment, we obtain... The fault segment corresponding to the largest value in the orientation criterion matrix is ​​taken as the location result.

7. A distribution network fault section location system considering feeder terminal reliability, characterized in that, include: The fault information acquisition module is used to acquire fault information of all nodes when a fault occurs in a section; The location information construction module is used to obtain the causal relationship matrix and the fault information matrix based on the fault information of all nodes when a fault occurs in a segment; The location information matrix of the fault section is obtained based on the causal relationship matrix and the fault information matrix; The fault section location module is used to determine whether the location information matrix of the fault section contains elements other than "1" and "0". If so, the feeder terminal unit has a false alarm or missed alarm. The section corresponding to the number "1" is taken as the candidate fault section, and a fault information reliability matrix and an influence factor matrix are constructed. Based on the above matrices, the orientation criteria are constructed to obtain the fault section. The process of constructing the fault information reliability matrix is ​​as follows: Obtain the actual transmitted fault information matrix and segment L in the candidate faults. m The fault information matrix correctly uploaded by the feeder terminal unit; Set column vector B m Based on the relationship between the correctly uploaded fault information matrix and the corresponding positions of the actually uploaded fault information matrix, the column vector B is modified. m The element at the corresponding position; Following the same method, continue constructing the candidate fault segment L. n The column vector B corresponding to the fault occurs n ; Based on column vector B m and column vector B n Construct a fault information reliability matrix.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by the processor, it implements the steps in the method for locating fault sections in a distribution network that considers the reliability of feeder terminals as described in any one of claims 1-6.

9. A computer 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, it implements the steps in the distribution network fault section location method considering the reliability of feeder terminals as described in any one of claims 1-6.

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