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基于配电线路磁场逆问题的非接触电流检测反演方法

邱奕茗 周强 韦甜柳 李巍巍 马立修 孙建超

南方电网技术2023,Vol.17Issue(11):108-119,12.
南方电网技术2023,Vol.17Issue(11):108-119,12.DOI:10.13648/j.cnki.issn1674-0629.2023.11.011

基于配电线路磁场逆问题的非接触电流检测反演方法

Non-Contact Current Detection Inversion Method Based on Magnetic Field Inverse Problem of Distribution Lines

邱奕茗 1周强 1韦甜柳 2李巍巍 2马立修 1孙建超1

作者信息

  • 1. 山东理工大学电气与电子工程学院,山东 淄博 255000
  • 2. 直流输电技术全国重点实验室(南方电网科学研究院),广州 510663
  • 折叠

摘要

Abstract

With the acceleration of smart grid construction,the requirements for extracting and analyzing the parameter information of power system to ensure the safe and stable operation of power system are getting higher.At present,a large number of overhead distribution line current in distribution system is difficult to achieve effective non-contact detection.To solve this problem,a non-contact three-phase overhead distribution line current detection method based on magnetic field inversion is proposed.Firstly,the inversion optimization model of line current is established according to the inverse magnetic field problem.Secondly,the non-dominated sorting genetic algorithm(NSGA-Ⅲ)with reference point mechanism is used to solve the model.The optimal solution that meets the requirements of decision makers is selected by combining the technique for order preference by similarity to ideal solu-tion(TOPSIS)method,and the fitting curve is drawn and the characteristic parameters are extracted.Finally,the simulation analysis and experiment are used to verify the effectiveness and accuracy of the proposed inversion method.

关键词

工频磁场/三相架空配电线路/NSGA-Ⅲ/多目标寻优

Key words

power-frequency magnetic field/three-phase overhead distribution lines/NSGA-Ⅲ/multi-objective optimization

分类

信息技术与安全科学

引用本文复制引用

邱奕茗,周强,韦甜柳,李巍巍,马立修,孙建超..基于配电线路磁场逆问题的非接触电流检测反演方法[J].南方电网技术,2023,17(11):108-119,12.

基金项目

中国南方电网有限责任公司科技项目(SKLHVDC-2021-KF-16) (SKLHVDC-2021-KF-16)

山东省自然科学基金项目(ZR2022ME156). Supported by the Science and Technology Project of China Southern Power Grid Co.,Ltd.(SKLHVDC-2021-KF-16) (ZR2022ME156)

the Natural Science Foundation of Shandong Province(ZR2022ME156). (ZR2022ME156)

南方电网技术

OA北大核心CSCDCSTPCD

1674-0629

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