Analysis on Distribution characteristics and Influencing Factors of Substation DC Magnetic Bias in Complex System

DING Guocheng; CHEN Qingtao; WU Xingwang; WANG Liufang; WU Weili; LIU Yong

doi:10.13296/j.1001-1609.hva.2020.08.021

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Analysis on Distribution characteristics and Influencing Factors of Substation DC Magnetic Bias in Complex System

更新时间：2025-04-26

- Analysis on Distribution characteristics and Influencing Factors of Substation DC Magnetic Bias in Complex System
- High VoltageApparatus Vol. 56, Issue 8, Pages: 134-142+147(2020)
- 作者机构：
  
  1. 国网安徽省电力公司电力科学研究院
  2. 国网安徽省电力公司
  3. 西安科技大学
  4. 安徽正广电电力技术有限公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2020.08.021
  CLC： TM63
- Published：2020
- 稿件说明：
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[1]丁国成,陈庆涛,吴兴旺,王刘芳,吴伟丽,刘勇.复杂系统变电站偏磁直流分布特性及影响因素分析[J].高压电器,2020,56(08):134-142+147.

DING Guocheng, CHEN Qingtao, WU Xingwang, et al. Analysis on Distribution characteristics and Influencing Factors of Substation DC Magnetic Bias in Complex System[J]. High voltageapparatus, 2020, 56(8): 134-142+147.
[1]丁国成,陈庆涛,吴兴旺,王刘芳,吴伟丽,刘勇.复杂系统变电站偏磁直流分布特性及影响因素分析[J].高压电器,2020,56(08):134-142+147. DOI： 10.13296/j.1001-1609.hva.2020.08.021.

DING Guocheng, CHEN Qingtao, WU Xingwang, et al. Analysis on Distribution characteristics and Influencing Factors of Substation DC Magnetic Bias in Complex System[J]. High voltageapparatus, 2020, 56(8): 134-142+147. DOI： 10.13296/j.1001-1609.hva.2020.08.021.

摘要

研究直流接地极周边交流系统变压器偏磁直流分布特征及其影响因素能够为治理变压器直流偏磁提供理论依据。首先

基于变电站偏磁直流分布模型

分析了各影响因素的作用机理;其次

利用主成分分析法对影响因素进行处理

在此基础上

提出基于神经网络的变电站偏磁直流估测模型;最后

利用某电网变电站监测直流数据对上述分析方法进行验证

分析了偏磁电流对影响因素的敏感性

结果表明

所建模型的有效性

能够为规划阶段避免或降低中性点偏磁直流提供有用参考。

Abstract

For the purpose of DC magnetic bias control of transformer

a substation DC magnetic bias distributionmodel is built to analyze the influencing mechanisms of various factors on the substation DC magnetic bias distribu-tion. The influencing factors are disposed by using the method of principal component analysis

and a forecast modelof substation DC magnetic bias based on neural network is proposed. The present analysis method is validated usingthe DC monitoring data of substations in a power system

and the sensitivity of the DC magnetic bias to the influenc-ing factors is analyzed. The results show that the proposed model is effective

and it may serve as a useful referenceto avoid or reduce the DC magnetic bias in neutral point in planning phase.

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