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基于TT变换谐波显著化的双馈新能源场站送出线故障性质识别方法

吴佳毅 徐峰 郑燃 潘武略

广东电力2024,Vol.37Issue(6):32-42,11.
广东电力2024,Vol.37Issue(6):32-42,11.DOI:10.3969/j.issn.1007-290X.2024.06.004

基于TT变换谐波显著化的双馈新能源场站送出线故障性质识别方法

Fault Nature Identification Method for Transmission Line of Doubly-fed New Energy Cluster Station Based on TT Transform Harmonic Saliency

吴佳毅 1徐峰 2郑燃 2潘武略1

作者信息

  • 1. 国网浙江省电力有限公司,浙江 杭州 310000
  • 2. 国网金华供电公司,浙江 金华 321000
  • 折叠

摘要

Abstract

Fault property identification is an important basis for adaptive reclosing.However,the grid connection of new energy clusters changes system harmonic characteristics during the open-phase operation and exacerbates the risk of misjudgement or failure of existing fault property identification schemes.Thus,this paper proposes a fault nature identification method for the transmission line of doubly-fed new energy cluster station based on TT transform harmonic saliency.Firstly,it introduces the harmonic feed-out characteristics of arc and doubly-fed induction generators(DFIG)during open-phase operation,and analyzes the principle of harmonic characteristic change during reclosing.To cope with different harmonic scenarios,it uses the time-time(TT)transform to effectively amplify the odd harmonic effective value characteristics and enhance the fault visibility.By threshold rectification,it constructs a fault nature and arc extinction moment identification method adapted to DFIG cluster access.PSCAD simulation verification shows that the proposed method is flexible and simple in threshold adjustment,which can accurately recognize the fault nature and arc extinction time in different fault locations,different fault angles and noise interference scenarios.This method has good adaptability when dealing with DFIG cluster access,and makes up for the shortcomings of the traditional fault nature identification scheme.The proposed method can also effectively improve the fault nature identification accuracy of new energy centralized transmission lines,which is conducive to improving the reclosing success rate.

关键词

故障性质识别/熄弧判别/集群双馈风力机场站/故障谐波/TT变换

Key words

fault nature identification/arc extinguishing judgment/DFIG cluster station/fault harmonics/TT transform

分类

信息技术与安全科学

引用本文复制引用

吴佳毅,徐峰,郑燃,潘武略..基于TT变换谐波显著化的双馈新能源场站送出线故障性质识别方法[J].广东电力,2024,37(6):32-42,11.

基金项目

国网浙江省电力有限公司科技项目(5211JH230001) (5211JH230001)

广东电力

OA北大核心CSTPCD

1007-290X

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