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Substation electronic transformer state evaluation method based on wavelet neural network

An electronic transformer and wavelet neural network technology, which is applied in the field of substation electronic transformer state evaluation based on wavelet neural network, can solve the problems of inability to meet the real-time online monitoring and analysis of intelligent substations, and reduce the sample demand and the system. The effect of high analysis efficiency, improved convergence speed and success rate

Active Publication Date: 2019-02-26
STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the current intelligent substation adopts the regular maintenance strategy of the traditional substation, which cannot meet the real-time online monitoring and analysis problems of the existing intelligent substation. Transformer Condition Assessment Method

Method used

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  • Substation electronic transformer state evaluation method based on wavelet neural network
  • Substation electronic transformer state evaluation method based on wavelet neural network
  • Substation electronic transformer state evaluation method based on wavelet neural network

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Embodiment 1

[0043] The state evaluation method of substation electronic transformer based on wavelet neural network mainly includes the following steps:

[0044]S1. According to the electronic transformer working condition monitoring index system, the original data signals of the main quantity, auxiliary quantity and communication quantity required by the system are collected according to the set time frequency evaluation;

[0045] S2. Using a signal correlation algorithm, select a signal pair from the original data signal, and compare the correlation between different signals at the same time point and their changing trends to obtain the correlation between the two;

[0046] S3. Analyze the change of the correlation situation to evaluate the operating state of the electronic transformer. When the correlation degree obtained by the correlation algorithm changes greatly, the parameter sequence has a high probability of failure to the device, so as to analyze the obvious failure;

[0047] S...

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Abstract

The invention discloses a substation electronic transformer state evaluation method based on wavelet neural network, which establishes an electronic transformer operating condition monitoring index system and a basic electronic transformer operating condition monitoring index system based on the operating parameters required by the intelligent substation secondary equipment operating state modeling. According to the big data characteristics of intelligent substation, at first, that massive parameter are analyzed by use the signal correlation algorithm, relevant laws are used to monitor, in addition, and the on-line monitoring scheme of electronic transformer based on wavelet neural network is established. Further analysis is made, the algorithm is verified by experimental and simulation data. The results show that the signal correlation analysis can real-time monitor the relationship between the parameters, and the trained wavelet neural network algorithm can better identify the fault.

Description

technical field [0001] The invention relates to a state evaluation method for electronic transformers in substation intelligent substations, in particular to a state evaluation method for electronic transformers in substations based on wavelet neural networks. Background technique [0002] In recent years, the state has actively promoted the investment and construction of smart grids. Among them, as the infrastructure and technical indicators of smart grid development, smart substations account for an increasing proportion of the total investment in grid construction. At the same time, a number of traditional substations will gradually undergo intelligent transformation and move closer to smart substations. Under the transformation and new construction of smart substations, the requirements for the reliability of power grid operation have not been reduced, that is, to prevent protection refusal and misoperation of smart substations caused by communication failures or softwa...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/04
CPCG06Q10/0639G06Q50/06G06N3/045
Inventor 郑永康卢音朴刘勇谭夕柳李游姜华陈小平王晓涛李红军朱祚恒陈运华黄永浩包旭辉周召均杨伟孙渊赵梓宏周文越朱鑫矫坤霖张艺范爱玲
Owner STATE GRID SICHUAN ELECTRIC POWER CORP ELECTRIC POWER RES INST
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