CN117723895B - Distribution network fault section positioning method and device based on multi-terminal amplitude ratio matrix - Google Patents

Distribution network fault section positioning method and device based on multi-terminal amplitude ratio matrix Download PDF

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CN117723895B
CN117723895B CN202410176852.XA CN202410176852A CN117723895B CN 117723895 B CN117723895 B CN 117723895B CN 202410176852 A CN202410176852 A CN 202410176852A CN 117723895 B CN117723895 B CN 117723895B
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information
distribution network
power distribution
node
matrix
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CN117723895A (en
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李肖博
吴雨沼
邝野
陈军健
陈波
蔡田田
谢心昊
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Southern Power Grid Digital Grid Research Institute Co Ltd
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Southern Power Grid Digital Grid Research Institute Co Ltd
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52Outage or fault management, e.g. fault detection or location

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Abstract

The application relates to a method and a device for positioning a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix. The method comprises the following steps: acquiring traveling wave amplitude information of a target power distribution network through traveling wave acquisition devices arranged on all power transmission line nodes in the target power distribution network; determining amplitude ratio matrix information of the target power distribution network according to the topological structure and traveling wave amplitude information of the target power distribution network; and determining a fault section in the target power distribution network according to the amplitude ratio matrix information. By adopting the method, accurate traveling wave information in the power distribution network can be timely obtained based on the traveling wave acquisition device arranged on each power transmission line node in the power distribution network, and the traveling wave amplitude matrix corresponding to the power distribution network is constructed by combining the topological structure of the power distribution network, so that the section with faults in the power distribution network is determined based on the data in the traveling wave amplitude matrix, the timely and accurate traveling wave amplitude information is utilized, the fault section in the power distribution network is accurately analyzed, and the accuracy of power distribution network fault detection is improved.

Description

Distribution network fault section positioning method and device based on multi-terminal amplitude ratio matrix
Technical Field
The present application relates to the field of power protection technologies, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for locating a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix.
Background
In the electric power field, the power distribution network plays a vital role, and once the power distribution network operates abnormally, the power distribution network brings great influence, so that it is particularly important to accurately and rapidly locate fault points. The fault processing time can be shortened, the power failure time can be reduced, the loss can be avoided, the range of the fault can be prevented from being further enlarged, and the operation reliability of the power distribution network can be improved.
The traditional technology mainly adopts an impedance method to locate the faults of the power distribution network, however, the impedance method is easily affected by factors such as transition resistance, multiple branches of lines and the like, the fault identification accuracy is not high, and the improvement of the accuracy of the fault detection of the power distribution network is not facilitated.
Disclosure of Invention
Based on the foregoing, it is necessary to provide a method, an apparatus, a computer device, a computer readable storage medium and a computer program product for locating a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix, which can improve the accuracy of fault detection of the power distribution network.
In a first aspect, the present application provides a method for locating a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix, including:
acquiring traveling wave amplitude information of a target power distribution network through traveling wave acquisition devices arranged on all power transmission line nodes in the target power distribution network;
determining amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the traveling wave amplitude information;
And determining a fault section in the target power distribution network according to the amplitude ratio matrix information.
In one embodiment, the determining the amplitude ratio matrix information of the target power distribution network according to the topology structure of the target power distribution network and the traveling wave amplitude information includes:
Determining at least one node corresponding to the target power distribution network according to the topological structure of the target power distribution network;
acquiring an association relation between each node and the traveling wave amplitude information, and determining at least one matrix element information according to the association relation;
And determining the amplitude ratio matrix information of the target power distribution network according to the matrix element information.
In one embodiment, the determining at least one matrix element information according to the association relationship includes:
For any node in the nodes, determining matrix row information corresponding to the any node according to the ratio between traveling wave amplitude information corresponding to the node and traveling wave amplitude information corresponding to the any node;
Determining matrix column information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node;
and determining the matrix element information according to the matrix row information and the matrix column information.
In one embodiment, the determining the matrix row information corresponding to the any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to the any node includes:
Determining row position information corresponding to any node according to the node identification information corresponding to any node;
Determining at least one matrix row element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to any node;
and determining matrix row information corresponding to any node according to the matrix row element information and the row position information.
In one embodiment, the determining the matrix array information corresponding to the any node according to the ratio between the traveling wave amplitude information corresponding to the any node and the traveling wave amplitude information corresponding to each node includes:
Determining column position information corresponding to any node according to the node identification information corresponding to any node;
determining at least one matrix element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node;
And determining matrix column information corresponding to any node according to each matrix column element information and the column position information.
In one embodiment, the determining, according to the magnitude ratio matrix information, a fault section in the target power distribution network includes:
Acquiring fault index information corresponding to the target power distribution network;
Comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information;
And determining a fault section in the target power distribution network according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information.
In one embodiment, the obtaining the fault indicator information corresponding to the target power distribution network includes:
Acquiring theoretical traveling wave amplitude information of the target power distribution network in a fault simulation experiment state;
Determining theoretical amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the theoretical traveling wave amplitude information;
and determining fault index information corresponding to the target power distribution network according to the theoretical amplitude ratio matrix information.
In a second aspect, the present application further provides a power distribution network fault section positioning device based on a multi-terminal amplitude ratio matrix, including:
The acquisition module is used for acquiring traveling wave amplitude information of the target power distribution network through traveling wave acquisition devices of all power transmission line nodes arranged in the target power distribution network;
The determining module is used for determining the amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the traveling wave amplitude information;
And the positioning module is used for determining a fault section in the target power distribution network according to the amplitude ratio matrix information.
In a third aspect, the present application also provides a computer device. The computer device comprises a memory and a processor, the memory storing a computer program which, when executed by the processor, implements the steps of the method described above.
In a fourth aspect, the present application also provides a computer-readable storage medium. The computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the method described above.
In a fifth aspect, the present application also provides a computer program product. The computer program product comprising a computer program which, when executed by a processor, implements the steps of the method described above.
According to the distribution network fault section positioning method, the device, the computer equipment, the storage medium and the computer program product based on the multi-terminal amplitude ratio matrix, the traveling wave amplitude information of the target distribution network is acquired through the traveling wave acquisition device of each power transmission line node arranged in the target distribution network, so that the accurate traveling wave amplitude information is acquired in time, and the influence of a power electronic equipment control strategy in the distribution network on the accuracy of the traveling wave amplitude information is avoided; according to the topological structure of the target power distribution network and the traveling wave amplitude information, the amplitude ratio matrix information of the target power distribution network is determined, so that the amplitude ratio matrix of the power distribution network is constructed based on the topological structure of the power distribution network, and a basis is provided for subsequent fault driving analysis and detection; according to the amplitude ratio matrix information, determining a fault section in a target power distribution network, acquiring accurate traveling wave information in the power distribution network in time based on traveling wave acquisition devices arranged on nodes of each power transmission line in the power distribution network, and constructing a traveling wave amplitude matrix corresponding to the power distribution network by combining a topological structure of the power distribution network, so that the section with faults in the power distribution network is determined based on data in the traveling wave amplitude matrix, timely and accurate traveling wave amplitude information is utilized, the fault section in the power distribution network is accurately analyzed, and the accuracy of power distribution network fault detection is improved.
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In order to more clearly illustrate the embodiments of the present application or the technical solutions in the related art, the drawings that are required to be used in the embodiments or the related technical descriptions will be briefly described, and it is apparent that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to the drawings without inventive effort for those skilled in the art.
FIG. 1 is an application environment diagram of a distribution network fault section positioning method based on a multi-terminal amplitude ratio matrix in one embodiment;
FIG. 2 is a flow chart of a method for locating a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix according to one embodiment;
FIG. 3 is a schematic diagram of a network topology of a power distribution network according to one embodiment;
fig. 4 is a schematic diagram of a network topology of a transmission line in an embodiment;
FIG. 5 is a schematic diagram of a mode component of a fault status voltage line in one embodiment;
FIG. 6 is a schematic diagram of a fault status voltage line modulus component transformation decomposition result in one embodiment;
FIG. 7 is a schematic diagram of a modulus component of another fault status voltage line in one embodiment;
FIG. 8 is a schematic diagram of a modular component transformation decomposition result for another fault status voltage line in one embodiment;
FIG. 9 is a schematic diagram of a modular component of a single phase ground fault status voltage line in one embodiment;
FIG. 10 is a schematic diagram of a modular component transformation decomposition of a single phase ground fault status voltage line in one embodiment;
FIG. 11 is a block diagram illustrating a structure of a power distribution network fault section locating device based on a multi-terminal amplitude ratio matrix according to one embodiment;
FIG. 12 is an internal block diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The power distribution network fault section positioning method based on the multi-terminal amplitude ratio matrix, provided by the embodiment of the application, can be applied to an application environment shown in fig. 1. Wherein the distribution network 102 communicates with the server 104 via a network. The data storage system may store data that the server 104 needs to process. The data storage system may be integrated on the server 104 or may be located on a cloud or other network server. The server 104 obtains traveling wave amplitude information of the target power distribution network through traveling wave acquisition devices arranged on all power transmission line nodes in the target power distribution network; the server 104 determines the amplitude ratio matrix information of the target power distribution network according to the topological structure and the traveling wave amplitude information of the target power distribution network; the server 104 determines a fault section in the target distribution network according to the amplitude ratio matrix information. Wherein the distribution network 102 may include at least one transmission line. The server 104 may be implemented as a stand-alone server or as a server cluster of multiple servers.
In an exemplary embodiment, as shown in fig. 2, a method for positioning a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix is provided, and the method is applied to a server for illustration, it is to be understood that the method can also be applied to a terminal, and can also be applied to a system comprising the terminal and the server, and is implemented through interaction between the terminal and the server. In this embodiment, the method includes the steps of:
Step S202, traveling wave amplitude information of a target power distribution network is obtained through traveling wave acquisition devices arranged on all power transmission line nodes in the target power distribution network.
The target distribution network can be a network which is formed by overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensators, some auxiliary facilities and the like in a power system and plays a role in distributing electric energy in the power network.
The power transmission line node may refer to a power line node used for transmitting electric energy in a power system, and in practical application, the power transmission line node may include a power transmission line node end, for example: the connection point X between the main transmission line A and the transmission line B can be used as a transmission line node corresponding to the transmission line B, the traveling wave acquisition device can be arranged at the tail end of the transmission line B, and at the moment, the arrangement position of the traveling wave acquisition device can be regarded as the tail end of the transmission line node.
The traveling wave acquisition device may refer to a device for acquiring a traveling wave signal.
The traveling wave amplitude information may refer to information representing the amplitude of the traveling wave signal.
In the power distribution network, when the distributed power supply is connected with the grid through the inverter, a large capacitor is connected between the power generation part and the inverter, even if a fault occurs, the voltage of the direct current side can be kept basically stable, so that the output characteristic of the distributed power supply is based on the control strategy of the inverter at the moment.
Step S204, according to the topological structure of the target power distribution network and the traveling wave amplitude information, the amplitude ratio matrix information of the target power distribution network is determined.
The topology structure may refer to information of connection relationships of various devices in the power system, and in practical application, the topology structure may include at least one node and at least one branch.
The amplitude ratio matrix information may be information of a matrix formed by ratios between corresponding traveling wave amplitudes of traveling wave signals of nodes in a topological structure for representing the power distribution network.
As an example, in order to locate a fault location or a fault section of the power distribution network, fault analysis may be performed by using an amplitude ratio matrix of the power distribution network, specifically, the server calculates a plurality of amplitude ratio data according to corresponding traveling wave amplitude information in traveling wave signals collected by the traveling wave collecting device by each node in the topology structure of the target power distribution network, and the server determines the amplitude ratio matrix information of the target power distribution network (for example, constructs the amplitude ratio matrix of the target power distribution network) according to the plurality of amplitude ratio data.
And S206, determining a fault section in the target power distribution network according to the amplitude ratio matrix information.
Wherein, the fault section can be the distribution of the transmission line and the line position where the fault exists in the power grid.
As an example, the server analyzes the amplitude ratio matrix information, and combines the fault index information to screen out abnormal matrix elements from the amplitude ratio matrix information, and the server determines a fault section in the target power distribution network according to nodes corresponding to the abnormal matrix elements in the topology structure of the power distribution network.
In the power distribution network fault section positioning method based on the multi-terminal amplitude ratio matrix, the traveling wave amplitude information of the target power distribution network is acquired through the traveling wave acquisition devices arranged on the nodes of each power transmission line in the target power distribution network, so that the accurate traveling wave amplitude information is acquired in time, and the influence of a control strategy of power electronic equipment in the power distribution network on the accuracy of the traveling wave amplitude information is avoided; according to the topological structure of the target power distribution network and the traveling wave amplitude information, the amplitude ratio matrix information of the target power distribution network is determined, so that the amplitude ratio matrix of the power distribution network is constructed based on the topological structure of the power distribution network, and a basis is provided for subsequent fault driving analysis and detection; according to the amplitude ratio matrix information, determining a fault section in a target power distribution network, acquiring accurate traveling wave information in the power distribution network in time based on traveling wave acquisition devices arranged on nodes of each power transmission line in the power distribution network, and constructing a traveling wave amplitude matrix corresponding to the power distribution network by combining a topological structure of the power distribution network, so that the section with faults in the power distribution network is determined based on data in the traveling wave amplitude matrix, timely and accurate traveling wave amplitude information is utilized, the fault section in the power distribution network is accurately analyzed, and the accuracy of power distribution network fault detection is improved.
In an exemplary embodiment, determining the amplitude ratio matrix information of the target power distribution network according to the topology structure and the traveling wave amplitude information of the target power distribution network includes: determining at least one node corresponding to the target power distribution network according to the topological structure of the target power distribution network; acquiring an association relation between each node and traveling wave amplitude information, and determining at least one matrix element information according to the association relation; and determining the amplitude ratio matrix information of the target power distribution network according to the matrix element information.
A node may refer to a point that characterizes a connection point between transmission lines in a topology of a power distribution network.
The association relationship may be information representing a correspondence relationship between a node corresponding to the power distribution network and a traveling wave amplitude value in the traveling wave signal acquired by the traveling wave acquisition device, where in practical application, each node has a corresponding traveling wave amplitude value in the traveling wave signal acquired by the traveling wave acquisition device.
The matrix element information may refer to each data in the amplitude ratio matrix corresponding to the amplitude ratio matrix information.
As an example, a server determines at least one node corresponding to a target power distribution network according to a topological structure of the target power distribution network, the server obtains an association relation between each node and traveling wave amplitude information, the server determines at least one matrix element information according to the association relation, and the server constructs an amplitude ratio matrix of the target power distribution network according to each matrix element information to obtain amplitude ratio matrix information of the target power distribution network.
In the embodiment, at least one node corresponding to the target power distribution network is determined according to the topological structure of the target power distribution network; acquiring an association relation between each node and traveling wave amplitude information, and determining at least one matrix element information according to the association relation; according to the information of each matrix element, the amplitude ratio matrix information of the target power distribution network is determined, an accurate amplitude ratio matrix can be constructed based on the topological structure of the power distribution network, a data basis is provided for subsequent power distribution network fault detection, and further the accuracy of power distribution network fault detection is improved.
In some embodiments, determining at least one matrix element information according to the association relationship includes: for any node in each node, determining matrix row information corresponding to any node according to the ratio between traveling wave amplitude information corresponding to each node and traveling wave amplitude information corresponding to any node; determining matrix column information corresponding to any node according to the ratio between traveling wave amplitude information corresponding to any node and traveling wave amplitude information corresponding to each node; and determining matrix element information according to the matrix row information and the matrix column information.
The matrix row information may refer to elements in each row of the amplitude ratio matrix corresponding to the amplitude ratio matrix information.
The matrix array information may refer to elements in each column of the amplitude ratio matrix corresponding to the amplitude ratio matrix information.
As an example, for any node in each node, the server determines matrix row information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to each node and traveling wave amplitude information corresponding to any node, specifically, taking a power distribution network including 3 nodes as an example, if the node corresponding to the power distribution network may be represented as node 1, node 2 and node 3, the traveling wave amplitude information corresponding to node 1 may be represented as V1, the traveling wave amplitude information corresponding to node 2 may be represented as V2, and the traveling wave amplitude information corresponding to node 3 may be represented as V3, the matrix row information corresponding to node 1 may be represented as: V1/V1, V2/V1 and V3/V1; the server determines matrix column information corresponding to any node according to the ratio between traveling wave amplitude information corresponding to any node and traveling wave amplitude information corresponding to each node, specifically, taking the power distribution network as an example, if the power distribution network comprises 3 nodes, the node corresponding to the power distribution network can be represented as node 1, node 2 and node 3, the traveling wave amplitude information corresponding to the node 1 can be represented as V1, the traveling wave amplitude information corresponding to the node 2 can be represented as V2, the traveling wave amplitude information corresponding to the node 3 can be represented as V3, and the matrix column information corresponding to the node 1 can be represented as: V1/V1, V1/V2 and V1/V3; and the server determines matrix element information according to the matrix row information and the matrix column information, and further constructs an amplitude ratio matrix.
In the embodiment, by aiming at any node in the nodes, determining matrix row information corresponding to any node according to the ratio between traveling wave amplitude information corresponding to each node and traveling wave amplitude information corresponding to any node; determining matrix column information corresponding to any node according to the ratio between traveling wave amplitude information corresponding to any node and traveling wave amplitude information corresponding to each node; according to the matrix row information and the matrix column information, matrix element information is determined, matrix elements of each row and each column in the amplitude ratio matrix can be accurately determined based on the ratio between the amplitude information of each node, the accuracy of the amplitude ratio matrix is improved, a data basis is provided for subsequent power distribution network fault detection, and the accuracy of power distribution network fault detection is further improved.
In some embodiments, determining matrix row information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to each node and traveling wave amplitude information corresponding to any node includes: determining row position information corresponding to any node according to node identification information corresponding to any node; determining at least one matrix row element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to any node; and determining matrix row information corresponding to any node according to the matrix row element information and the row position information.
The node identification information may refer to information representing a position of a node corresponding to the power distribution network in a topology structure corresponding to the power distribution network, and in practical application, corresponding node identifications may be set for each node in the topology structure corresponding to the power distribution network in advance according to a specific rule, for example: the topological structure corresponding to the power distribution network comprises 3 nodes, the 3 nodes are respectively identified as node 1, node 2 and node 3, then the node identification information corresponding to the node 1 is 1, the node identification information corresponding to the node 2 is 2, and the node identification information corresponding to the node 3 is 3.
The row position information may refer to information of positions of rows in the amplitude ratio matrix corresponding to the amplitude ratio matrix information, for example: if a certain magnitude ratio matrix has 3 rows and 3 columns, the row position information of the first row may be 1, the row position information of the second row may be 2, and the row position information of the third row may be 3.
In practical application, the node identification information and the line position information have an association relationship, specifically, when the node identification information is 1, the line position information of the node corresponding to the node identification information is 1.
The matrix row element information may refer to matrix elements or data of any row in the amplitude ratio matrix corresponding to the amplitude ratio matrix information.
As an example, the server determines row position information corresponding to any node according to node identification information corresponding to any node, the server determines at least one matrix row element information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to each node and traveling wave amplitude information corresponding to any node, and the server determines matrix row information corresponding to any node according to each matrix row element information and row position information, specifically, taking a power distribution network as an example, if the power distribution network includes 3 nodes, the node corresponding to the power distribution network may be represented as node 1, node 2 and node 3, the traveling wave amplitude information corresponding to the node 1 may be represented as V1, the traveling wave amplitude information corresponding to the node 2 may be represented as V2, and the traveling wave amplitude information corresponding to the node 3 may be represented as V3, then the matrix row information corresponding to the node 1 may be represented as: V1/V1, V2/V1 and V3/V1, wherein the row position information corresponding to the node 1 is 1, and then V1/V1, V2/V1 and V3/V1 can represent the first row in the amplitude ratio matrix corresponding to the amplitude ratio matrix information, and at this time, the server determines that the matrix row information of the node 1 is: the first row of the amplitude ratio matrix is denoted as V1/V1, V2/V1 and V3/V1.
In this embodiment, row position information corresponding to any node is determined according to node identification information corresponding to any node; determining at least one matrix row element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to any node; according to the matrix row element information and the row position information, the matrix row information corresponding to any node is determined, the matrix elements of each row in the amplitude ratio matrix can be accurately determined, the accuracy of the amplitude ratio matrix is improved, a data base is provided for subsequent power distribution network fault detection, and the accuracy of the power distribution network fault detection is further improved.
In some embodiments, determining matrix column information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to any node and traveling wave amplitude information corresponding to each node includes: determining column position information corresponding to any node according to the node identification information corresponding to any node; determining at least one matrix element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; and determining matrix column information corresponding to any node according to the matrix column element information and the column position information.
The column position information may refer to information of a position of a column in the amplitude ratio matrix corresponding to the amplitude ratio matrix information, for example: if a certain amplitude ratio matrix has 3 rows and 3 columns, the column position information of the first column may be 1, the column position information of the second column may be 2, and the column position information of the third column may be 3.
The matrix element information may refer to matrix elements or data of any column in the amplitude ratio matrix corresponding to the amplitude ratio matrix information.
As an example, the server determines column position information corresponding to any node according to node identification information corresponding to any node, the server determines at least one matrix column element information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to any node and traveling wave amplitude information corresponding to each node, and the server determines matrix column information corresponding to any node according to each matrix column element information and column position information, specifically, taking a power distribution network as an example, if a node corresponding to the power distribution network may be represented as node 1, node 2 and node 3, traveling wave amplitude information corresponding to node 1 may be represented as V1, traveling wave amplitude information corresponding to node 2 may be represented as V2, traveling wave amplitude information corresponding to node 3 may be represented as V3, and matrix column information corresponding to node 1 may be represented as: V1/V1, V1/V2 and V1/V3, wherein the column position information corresponding to the node 1 is 1, and then V1/V1, V1/V2 and V1/V3 can represent the first column in the amplitude ratio matrix corresponding to the amplitude ratio matrix information, and at this time, the server determines that the matrix column information of the node 1 is: the first column of the amplitude ratio matrix is denoted as V1/V1, V1/V2 and V1/V3.
In this embodiment, the column position information corresponding to any node is determined according to the node identification information corresponding to any node; determining at least one matrix element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; according to the matrix element information and the column position information, matrix element information corresponding to any node is determined, matrix elements of each column in the amplitude ratio matrix can be accurately determined, accuracy of the amplitude ratio matrix is improved, a data base is provided for subsequent power distribution network fault detection, and accuracy of power distribution network fault detection is further improved.
In some embodiments, determining a fault section in the target power distribution network based on the magnitude ratio matrix information includes: acquiring fault index information corresponding to a target power distribution network; comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information; and determining a fault section in the target power distribution network according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information.
The fault index information may be information for judging whether abnormal data exists in the amplitude ratio matrix corresponding to the power distribution network.
The abnormal element information may refer to information matched with the fault index information in the amplitude ratio matrix, and in practical application, the abnormal element information may refer to matrix elements in any row and/or any column in the amplitude ratio matrix.
The position information may refer to information characterizing rows and columns of the abnormal element information in the amplitude ratio matrix.
As an example, the server obtains fault index information corresponding to the target power distribution network, the server compares the fault index information with the amplitude ratio matrix information, when a certain row and/or column of matrix elements in the amplitude ratio matrix are matched with the fault index information, the server takes the row and/or column of matrix elements as abnormal element information in the amplitude ratio matrix information, the server determines a corresponding node identifier according to the position information of the abnormal element information in a matrix corresponding to the amplitude ratio matrix information, and the server determines a fault section in the target power distribution network according to the node identifier.
In the embodiment, fault index information corresponding to the target power distribution network is obtained; comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information; according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information, determining a fault section in the target power distribution network, and screening out accurate abnormal elements based on the matching degree between each matrix element in the fault index information and the amplitude ratio matrix information, so that the fault section in the power distribution network is determined by utilizing the node identification corresponding to the abnormal elements, and the accuracy of power distribution network fault detection is improved.
In some embodiments, obtaining fault index information corresponding to a target power distribution network includes: acquiring theoretical traveling wave amplitude information of a target power distribution network in a fault simulation experiment state; determining theoretical amplitude ratio matrix information of the target power distribution network according to the topological structure and the theoretical traveling wave amplitude information of the target power distribution network; and determining fault index information corresponding to the target power distribution network according to the theoretical amplitude ratio matrix information.
The fault simulation experiment state can be a power distribution network operation state when a specific power transmission line or interval in the target power distribution network fails under manual control or setting.
The theoretical traveling wave amplitude information may be the traveling wave amplitude obtained when the traveling wave signal of the power distribution network acquired by the traveling wave acquisition device is analyzed from a theoretical angle under the condition that the influence of the control strategy of the power electronic equipment in the power distribution network on the traveling wave signal of the power distribution network in the fault simulation experimental state is ignored.
The theoretical amplitude ratio matrix information may refer to an amplitude ratio matrix corresponding to the power distribution network, which is constructed according to the theoretical traveling wave amplitude information and the topology structure of the power distribution network.
As an example, a server obtains theoretical traveling wave amplitude information of a target power distribution network in a fault simulation experiment state, the server combines a topological structure of the target power distribution network to analyze the theoretical traveling wave amplitude information to obtain theoretical amplitude ratio matrix information of the target power distribution network, the server determines fault index information corresponding to the target power distribution network according to the theoretical amplitude ratio matrix information, the fault index information can be used for judging nodes with faults in the power distribution network, specifically, as shown in fig. 3, a power distribution network topological structure schematic diagram is provided, and an amplitude ratio matrix F corresponding to the power distribution network shown in fig. 3 can be expressed as follows:
The amplitudes corresponding to the traveling wave signals collected by the traveling wave collection devices M 1、M2、M3、……、 M7 disposed at the node ends of the power distribution network in fig. 3 are respectively analyzed by taking a certain power transmission line M 1-M3 (the power transmission line can be regarded as a main line) in fig. 3 as an example, as shown in fig. 4, a schematic power transmission line network topology is provided, the wave impedances of the power transmission line M 1-M3 are assumed to be the same and can be represented as Z 2, the wave impedance of the branch line T 1-M2 is Z 1, and when a fault occurs at the end of the branch line T 1-M2, the relationship between the fault traveling wave amplitudes V 1、V2、V3 of the line end M 1、M2、M3 can be represented as:
If the influence of the line wave impedance is ignored, the following can be obtained after Z 1Z2 is eliminated:
Similarly, when a fault occurs at the end of line M 1-T1, the relationship between the fault traveling wave amplitude V 1、V2、V3 of M 1、M2、M3 can be expressed as:
When a fault occurs at the end of line M 3-T1, the relationship between the fault traveling wave amplitude V 1、V2、V3 of M 1、M2、M3 can be expressed as:
The transmission line M 1-M3 can be regarded as a T-type distribution line, the amplitude ratio of the three-terminal fault traveling wave of the transmission line M 1-M3 is unfolded to the dimension of the matrix to obtain an amplitude ratio matrix of the transmission line M 1-M3 at the moment, and the amplitude ratio matrix can be expressed as:
When a fault occurs at the end of branch line M 1-T1, the amplitude ratio matrix F 1 of transmission line M 1-M3 can be expressed as:
From the magnitude ratio matrix F 1, it can be seen that the first row elements in the matrix are all less than or equal to 1, and the first column elements in the matrix are all greater than or equal to 1, so that it can be obtained that the fault occurs on the branch of the device M 1, where the fault index information may include: the first row elements in the matrix are all less than or equal to 1, and the first column elements in the matrix are all greater than or equal to 1, so that a fault can be obtained on the branch of the device M 1.
When a fault occurs at the end of branch line T 1-M2, the amplitude ratio matrix F 2 of transmission line M 1-M3 can be expressed as:
From the magnitude ratio matrix F 2, it can be seen that the second row elements in the matrix are all less than or equal to 1, and the second column elements in the matrix are all greater than or equal to 1, so that it can be obtained that the fault occurs on the branch of the device M 2, where the fault index information may include: the second row elements in the matrix are all less than or equal to 1, and the second column elements in the matrix are all more than or equal to 1, so that the fault can be obtained to occur on the branch of the device M 2.
When a fault occurs at the end of branch line T 1-M2, the amplitude ratio matrix F 3 of transmission line M 1-M3 can be expressed as:
From the magnitude ratio matrix F 3, it can be seen that the third row element in the matrix is all less than or equal to 1, and the third column element in the matrix is all greater than or equal to 1, so that it can be obtained that the fault occurs on the branch of the device M 3, where the fault index information may include: the third row elements in the matrix are all less than or equal to 1, and the third column elements in the matrix are all more than or equal to 1, so that the fault can be obtained to occur on the branch of the device M 3.
In the embodiment, theoretical traveling wave amplitude information of the target power distribution network in a fault simulation experiment state is obtained; determining theoretical amplitude ratio matrix information of the target power distribution network according to the topological structure and the theoretical traveling wave amplitude information of the target power distribution network; according to the theoretical amplitude ratio matrix information, the fault index information corresponding to the target power distribution network is determined, and the accurate fault index information can be determined based on the theoretical traveling wave amplitude information of the power distribution network in the simulated fault state, so that a judgment basis is provided for subsequent fault detection, and the accuracy of the fault detection of the power distribution network is improved.
In some embodiments, in order to accurately locate a fault section in a power distribution network, a server may construct an amplitude ratio matrix of the power distribution network according to a topology structure or a topology diagram of the power distribution network by using amplitudes of traveling wave signals corresponding to the power distribution network, and taking a network topology structure of a target power transmission network as shown in fig. 3 as an example, if F 1 in fig. 3 has a single-phase earth fault, the server may integrate fault traveling wave data (traveling wave signals) collected by a traveling wave collecting device, take a voltage line mode, as shown in fig. 5, provide a schematic diagram of a mode component of a fault state voltage line, and the server performs S-transformation (a time-frequency analysis method) decomposition on the voltage line mode component to obtain a decomposition result, as shown in fig. 6, provide a schematic diagram of a mode component transformation decomposition result of the fault state voltage line, and calibrate initial wave head time and voltage amplitude information, and list an amplitude ratio matrix F 4, where the amplitude ratio matrix F 4 may be expressed as:
As can be seen from the amplitude ratio matrix F 4, the second row elements in the matrix are all less than or equal to 1, the second column elements in the matrix are all more than or equal to 1, and in combination with the fault index information, the server can determine that the fault interval of the power distribution network is on the branch of the device M 2 in fig. 3; if a single-phase earth fault occurs in F 2, the server can integrate fault traveling wave data (traveling wave signals) acquired by the traveling wave acquisition device, take a voltage line mode, as shown in fig. 7, provide another schematic diagram of voltage line mode components in fault state, the server performs S-transformation (a time-frequency analysis method) decomposition on the voltage line mode components to obtain a decomposition result, as shown in fig. 8, provide another schematic diagram of decomposition result of the voltage line mode component transformation in fault state, and calibrate initial wave head time and voltage amplitude information, list an amplitude ratio matrix F 5, and the amplitude ratio matrix F 5 can be expressed as:
As can be seen from the amplitude ratio matrix F 5, the fourth row element in the matrix is all less than or equal to 1, the fourth column element in the matrix is all greater than or equal to 1, and in combination with the fault index information, the server can determine that the fault interval of the power distribution network is on the branch of the device M 4 in fig. 3; if a single-phase ground fault occurs in F 3, the server can integrate fault traveling wave data (traveling wave signals) acquired by the traveling wave acquisition device, take a voltage line mode, as shown in fig. 9, provide a schematic diagram of a single-phase ground fault state voltage line mode component, the server decomposes the voltage line mode (component) by S conversion (a time-frequency analysis method), and obtain decomposition results, as shown in fig. 10, provide a schematic diagram of a single-phase ground fault state voltage line mode component conversion decomposition result, and calibrate initial wave head time and voltage amplitude information, list an amplitude ratio matrix F 6, and the amplitude ratio matrix F 6 can be expressed as:
As can be seen from the amplitude ratio matrix F 6, the seventh row elements in the matrix are all less than or equal to 1, and the seventh column elements in the matrix are all more than or equal to 1, and in combination with the fault index information, the server can determine that the fault interval of the power distribution network is on the branch of the device M 7 in fig. 3.
In this embodiment, the traveling wave positioning network formed by the traveling wave acquisition device acquires the traveling wave signal of the power distribution network, so that the influence of the novel power distribution network on the fault traveling wave initial wave head can be eliminated, a multi-terminal amplitude ratio matrix aiming at the power distribution network is established based on the amplitude of the traveling wave signal, the fault occurrence section is judged according to the characteristic elements in the amplitude ratio matrix, and finally the section where the fault is located is output, so that the accurate fault positioning can be performed based on the multi-terminal time difference, and the accuracy of the fault detection of the power distribution network is improved.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a power distribution network fault section positioning device based on the multi-terminal amplitude ratio matrix, which is used for realizing the power distribution network fault section positioning method based on the multi-terminal amplitude ratio matrix. The implementation scheme of the device for solving the problem is similar to that described in the above method, so the specific limitation in the embodiments of the device for positioning the fault section of the power distribution network based on the multi-terminal amplitude ratio matrix provided below can be referred to the limitation of the method for positioning the fault section of the power distribution network based on the multi-terminal amplitude ratio matrix hereinabove, and the description is omitted here.
In one exemplary embodiment, as shown in fig. 11, there is provided a power distribution network fault section locating device based on a multi-terminal amplitude ratio matrix, including: an acquisition module 1102, a determination module 1104, and a positioning module 1106, wherein:
The acquiring module 1102 is configured to acquire traveling wave amplitude information of a target power distribution network through traveling wave acquisition devices that are disposed at nodes of each power transmission line in the target power distribution network.
And the determining module 1104 is configured to determine the amplitude ratio matrix information of the target power distribution network according to the topology structure of the target power distribution network and the traveling wave amplitude information.
And the positioning module 1106 is used for determining a fault section in the target power distribution network according to the amplitude ratio matrix information.
In an exemplary embodiment, the determining module 1104 is specifically further configured to determine at least one node corresponding to the target power distribution network according to a topology structure of the target power distribution network; acquiring an association relation between each node and the traveling wave amplitude information, and determining at least one matrix element information according to the association relation; and determining the amplitude ratio matrix information of the target power distribution network according to the matrix element information.
In an exemplary embodiment, the determining module 1104 is specifically further configured to determine, for any node in the nodes, matrix row information corresponding to the any node according to a ratio between traveling wave amplitude information corresponding to the node and traveling wave amplitude information corresponding to the any node; determining matrix column information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; and determining the matrix element information according to the matrix row information and the matrix column information.
In an exemplary embodiment, the determining module 1104 is specifically further configured to determine row location information corresponding to the any node according to node identification information corresponding to the any node; determining at least one matrix row element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to any node; and determining matrix row information corresponding to any node according to the matrix row element information and the row position information.
In an exemplary embodiment, the determining module 1104 is specifically further configured to determine column location information corresponding to the any node according to node identification information corresponding to the any node; determining at least one matrix element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; and determining matrix column information corresponding to any node according to each matrix column element information and the column position information.
In an exemplary embodiment, the positioning module 1106 is specifically further configured to obtain fault indicator information corresponding to the target power distribution network; comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information; and determining a fault section in the target power distribution network according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information.
In an exemplary embodiment, the positioning module 1106 is specifically further configured to obtain theoretical traveling wave amplitude information of the target power distribution network in a fault simulation experimental state; determining theoretical amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the theoretical traveling wave amplitude information; and determining fault index information corresponding to the target power distribution network according to the theoretical amplitude ratio matrix information.
The modules in the power distribution network fault section positioning device based on the multi-terminal amplitude ratio matrix can be all or partially realized by software, hardware and a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In an exemplary embodiment, a computer device, which may be a terminal, is provided, and an internal structure thereof may be as shown in fig. 12. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program when executed by the processor is used for realizing a distribution network fault section positioning method based on the multi-terminal amplitude ratio matrix. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 12 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the method embodiments described above when the computer program is executed.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the method embodiments described above.
In an embodiment, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the steps of the method embodiments described above.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are both information and data authorized by the user or sufficiently authorized by each party, and the collection, use and processing of the related data are required to meet the related regulations.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (7)

1. A method for locating a fault section of a power distribution network based on a multi-terminal amplitude ratio matrix, the method comprising:
acquiring traveling wave amplitude information of a target power distribution network through traveling wave acquisition devices arranged on all power transmission line nodes in the target power distribution network;
determining amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the traveling wave amplitude information; determining at least one node corresponding to the target power distribution network according to the topological structure of the target power distribution network; acquiring an association relation between each node and the traveling wave amplitude information, and determining at least one matrix element information according to the association relation; according to the matrix element information, determining the amplitude ratio matrix information of the target power distribution network; for any node in the nodes, determining matrix row information corresponding to the any node according to the ratio between traveling wave amplitude information corresponding to the node and traveling wave amplitude information corresponding to the any node; determining matrix column information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; determining the matrix element information according to the matrix row information and the matrix column information;
Determining a fault section in the target power distribution network according to the amplitude ratio matrix information; acquiring fault index information corresponding to the target power distribution network; comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information; and determining a fault section in the target power distribution network according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information.
2. The method according to claim 1, wherein the determining the matrix row information corresponding to the any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to the any node includes:
Determining row position information corresponding to any node according to the node identification information corresponding to any node;
Determining at least one matrix row element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to each node and the traveling wave amplitude information corresponding to any node;
and determining matrix row information corresponding to any node according to the matrix row element information and the row position information.
3. The method according to claim 1, wherein determining matrix column information corresponding to any node according to a ratio between traveling wave amplitude information corresponding to the any node and traveling wave amplitude information corresponding to each node comprises:
Determining column position information corresponding to any node according to the node identification information corresponding to any node;
determining at least one matrix element information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node;
And determining matrix column information corresponding to any node according to each matrix column element information and the column position information.
4. The method according to claim 1, wherein the obtaining fault index information corresponding to the target power distribution network includes:
Acquiring theoretical traveling wave amplitude information of the target power distribution network in a fault simulation experiment state;
Determining theoretical amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the theoretical traveling wave amplitude information;
and determining fault index information corresponding to the target power distribution network according to the theoretical amplitude ratio matrix information.
5. A power distribution network fault section locating device based on a multi-terminal amplitude ratio matrix, the device comprising:
The acquisition module is used for acquiring traveling wave amplitude information of the target power distribution network through traveling wave acquisition devices of all power transmission line nodes arranged in the target power distribution network;
The determining module is used for determining the amplitude ratio matrix information of the target power distribution network according to the topological structure of the target power distribution network and the traveling wave amplitude information; determining at least one node corresponding to the target power distribution network according to the topological structure of the target power distribution network; acquiring an association relation between each node and the traveling wave amplitude information, and determining at least one matrix element information according to the association relation; according to the matrix element information, determining the amplitude ratio matrix information of the target power distribution network; for any node in the nodes, determining matrix row information corresponding to the any node according to the ratio between traveling wave amplitude information corresponding to the node and traveling wave amplitude information corresponding to the any node; determining matrix column information corresponding to any node according to the ratio between the traveling wave amplitude information corresponding to any node and the traveling wave amplitude information corresponding to each node; determining the matrix element information according to the matrix row information and the matrix column information;
the positioning module is used for determining a fault section in the target power distribution network according to the amplitude ratio matrix information; acquiring fault index information corresponding to the target power distribution network; comparing the fault index information with the amplitude ratio matrix information, and determining abnormal element information in the amplitude ratio matrix information; and determining a fault section in the target power distribution network according to the position information of the abnormal element information in the matrix corresponding to the amplitude ratio matrix information.
6. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 4 when the computer program is executed.
7. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 4.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106443347A (en) * 2016-10-09 2017-02-22 中国矿业大学 Power grid fault section positioning method based on fault transient state traveling wave decaying component
CN107422224A (en) * 2017-04-26 2017-12-01 中国矿业大学 A kind of asynchronous fault zone localization method of power network
CN107505538A (en) * 2017-09-22 2017-12-22 中国矿业大学 The asynchronous Fault Locating Method of half-wave power transmission circuit based on line mode voltage traveling wave amplitude attenuation characteristic
CN113945799A (en) * 2021-10-15 2022-01-18 广东电网有限责任公司惠州供电局 Power line network fault positioning method and device, electronic equipment and storage medium
CN115980514A (en) * 2023-02-20 2023-04-18 国网湖北省电力有限公司武汉供电公司 Complex power distribution network fault positioning method based on multi-terminal traveling wave frequency matrix

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113049922B (en) * 2020-04-22 2022-11-15 青岛鼎信通讯股份有限公司 Fault arc signal detection method adopting convolutional neural network

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106443347A (en) * 2016-10-09 2017-02-22 中国矿业大学 Power grid fault section positioning method based on fault transient state traveling wave decaying component
CN107422224A (en) * 2017-04-26 2017-12-01 中国矿业大学 A kind of asynchronous fault zone localization method of power network
CN107505538A (en) * 2017-09-22 2017-12-22 中国矿业大学 The asynchronous Fault Locating Method of half-wave power transmission circuit based on line mode voltage traveling wave amplitude attenuation characteristic
CN113945799A (en) * 2021-10-15 2022-01-18 广东电网有限责任公司惠州供电局 Power line network fault positioning method and device, electronic equipment and storage medium
CN115980514A (en) * 2023-02-20 2023-04-18 国网湖北省电力有限公司武汉供电公司 Complex power distribution network fault positioning method based on multi-terminal traveling wave frequency matrix

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
基于模量幅值比的高压交流输电线不对称接地故障单端定位;王勇棋 等;《电机与控制学报》;20231219;1-14 *

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