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Power transmission line fault comprehensive identification method based on GMAPM and SOM-LVQ-ANN

An identification method and transmission line technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of not being able to identify low/high impedance fault power systems of transmission lines at the same time, and cannot meet the requirements

Inactive Publication Date: 2018-06-12
CHONGQING WATER RESOURCES & ELECTRIC ENG COLLEGE
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Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: there are defects in the algorithm, and the low / high impedance faults of the transmission line and the abnormal working conditions of the power system cannot be identified at the same time, and the faults under the abnormal working conditions of the power system (such as low-frequency oscillation in the low / high impedance faults) and developing faults of transmission lines, cannot meet the needs of two other new application areas

Method used

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  • Power transmission line fault comprehensive identification method based on GMAPM and SOM-LVQ-ANN
  • Power transmission line fault comprehensive identification method based on GMAPM and SOM-LVQ-ANN
  • Power transmission line fault comprehensive identification method based on GMAPM and SOM-LVQ-ANN

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Embodiment approach

[0134] The advantage of SOM-ANN just corresponds to the shortcoming of LVQ-ANN, and the shortcoming of SOM-ANN just corresponds to the advantage of LVQ-ANN, so the present invention forms SOM-LVQ-ANN ​​by cascading SOM-ANN and LVQ-ANN, to realize The advantages and disadvantages of each other complement each other. For the structure of SOM-LVQ-ANN, see Figure 4 .

[0135] In the following, GMAPM and SOM-LVQ-ANN ​​are combined to realize a comprehensive identification method for transmission line faults. In the implementation process, the algorithm needs to be adjusted appropriately according to the actual situation: ①The famous value sampling sequence x In ~x VIn The rated voltage / current is used as the benchmark to convert the per unit value sampling sequence to avoid the large difference in the value of the characteristic parameters of the voltage and current components, which will affect the stability of ANN training, and also to make the algorithm compatible with transm...

Embodiment

[0139] The application effects of the present invention will be described in detail below in conjunction with the embodiments. The ideal way to verify the performance of the transmission line fault comprehensive identification method is to use the actual fault waveform data recorded by the fault recorder as training samples and test samples, but because the type of actual fault cannot be predicted, relying on experience and existing fault identification methods cannot completely Reliable identification, so it is best to use simulation experiments for verification.

[0140] 1. Simulation model.

[0141] In order to ensure that the simulation is close to reality, the prototype of the selected simulation model is a 500kV, 346km ultra-high voltage transmission line in the Central China Power Grid. Its equivalent dual power supply model is as follows: Image 6 Shown: It consists of 10 Π-shaped equivalent circuits cascaded in order to set faults at different distances, R, C and X a...

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Abstract

The invention belongs to technical field of an electrical system and automation thereof, and discloses a power transmission line fault comprehensive identification method based on GMAPM and SOM-LVQ-ANN. The method comprises the steps of information extracting, wherein the GMAPM is adopted to process fault voltage / current signals containing non-continuous and / or mutable direct current, fundamentalwave, harmonic wave and noise components, and parallel analysis of multipath fault voltage / current signals is achieved; feature identification, wherein the SOM-LVQ-ANN is adopted. The method has not only both the strong autonomous learning capability and the generalization capability of the SOM-LVQ-ANN, but also has the advantages of LVQ-ANN of being capable of preassigning the fault type and conducting coding. The low-high impedance fault of the power transmission line, the abnormal conditions of the electrical system, the fault of the electrical system under the abnormal conditions, and thedevelopmental fault of a power transmission line can be identified simultaneously.

Description

technical field [0001] The invention belongs to the technical field of electric power systems and automation thereof, and in particular relates to a comprehensive fault identification method for transmission lines based on GMAPM and SOM-LVQ-ANN. Background technique [0002] Transmission line fault identification is referred to as fault identification for short, also known as fault classification, and its prototype is fault phase selection. Fault phase selection is an important part of traditional relay protection criteria, and an indispensable part of emerging relay protection criteria such as transient protection and traveling wave protection. At present, the application of fault identification has expanded from the pure relay protection field to two other new important fields. One is the field of relay protection testing. Modern testing requires the relay protection test device to have the power fault waveform reproduction function to provide real fault test signals for...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/02
CPCG01R31/50
Inventor 孙晓明
Owner CHONGQING WATER RESOURCES & ELECTRIC ENG COLLEGE
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