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Direct-current transmission line fault distance measurement method based on neural network algorithm

A technology of direct current transmission lines and neural network algorithms, applied in neural learning methods, biological neural network models, fault locations, etc., can solve problems such as low accuracy and difficulty, and achieve the effect of improving prediction accuracy and generalization ability

Pending Publication Date: 2021-06-25
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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AI Technical Summary

Problems solved by technology

[0003] This application provides a DC transmission line fault location method based on a neural network algorithm to solve the difficulty in correctly identifying the nature of the second transmitted wave in the single-ended traveling wave distance measurement method for DC transmission line faults in the prior art. low degree problem

Method used

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  • Direct-current transmission line fault distance measurement method based on neural network algorithm
  • Direct-current transmission line fault distance measurement method based on neural network algorithm
  • Direct-current transmission line fault distance measurement method based on neural network algorithm

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Embodiment Construction

[0042] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.

[0043] see figure 1 , is a flow chart of a fault location method for direct current transmission lines based on neural network algorithm.

[0044] The present application provides a DC transmission line fault location method based on a neural network algorithm, comprising the following steps:

[0045] Build the UHV DC transmission system model, the UHV DC transmission system model includes: AC system model, converter station mo...

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Abstract

The invention discloses a direct-current transmission line fault distance measurement method based on a neural network algorithm. The method comprises the steps of building an extra-high-voltage direct-current transmission system model; obtaining a transient-state line mode component and a transient-state zero mode component which are independent from each other in the extra-high-voltage direct-current power transmission system model; solving a head wave head modulus maximum value ratio of the line mode component to the zero mode component in each scale; creating an AdaBoost-Elman integrated neural network model; respectively forming a training sample set and a test data set; using the training sample set to train the AdaBoost-Elman integrated neural network model, and using the training sample set to train the AdaBoost-Elman integrated neural network model; and testing the trained AdaBoost-Elman integrated neural network model by using the test data set to obtain a direct current transmission line fault distance prediction result, and comparing and analyzing the prediction result and a true value, and the invention has the characteristics of high prediction precision, strong generalization ability and fast convergence speed.

Description

technical field [0001] The present application relates to the technical field of relay protection for direct current transmission systems, in particular to a fault location method for direct current transmission lines based on a neural network algorithm. Background technique [0002] DC transmission lines are generally long, and the terrain along the line is complex. It is very difficult to find fault points through line inspection. Therefore, it is very important to study accurate fault location methods to quickly remove faults and improve the stability of power transmission systems. At present, fault location of UHVDC transmission lines mainly relies on traveling wave fault location technology. Double-ended traveling wave ranging is difficult to achieve due to the need for data communication equipment at both ends and simultaneous sampling at both ends, while single-ended traveling wave ranging has low cost and strong real-time performance, but is affected by factors such ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/04G06N3/08G01R31/08G06F113/04
CPCG06F30/27G06N3/04G06N3/08G01R31/085G01R31/088G06F2113/04G06F18/2148Y04S10/52
Inventor 邢超高敬业奚鑫泽刘明群何鑫李胜男徐志陈勇
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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