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基于UBSS算法的电力系统低频振荡辨识方法

夏远洋 李啸骢 徐俊华 刘治理 刘源

中国电机工程学报2024,Vol.44Issue(13):5073-5083,中插5,12.
中国电机工程学报2024,Vol.44Issue(13):5073-5083,中插5,12.DOI:10.13334/j.0258-8013.pcsee.230143

基于UBSS算法的电力系统低频振荡辨识方法

Identification of Low-frequency Oscillation in Power Systems Based on Underdetermined Blind Source Separation Algorithm

夏远洋 1李啸骢 2徐俊华 1刘治理 3刘源3

作者信息

  • 1. 广西电力系统最优化与节能技术重点试验室(广西大学),广西壮族自治区 南宁市 530004
  • 2. 南宁学院智能制造学院,广西壮族自治区 南宁市 530200
  • 3. 雅砻江流域水电开发有限公司,四川省 成都市 610051
  • 折叠

摘要

Abstract

Low frequency oscillation(LFO)monitoring and analysis are crucial for power system fault diagnosis and grid recovery.In this paper,LFO mode identification method based on underdetermined blind source separation principle is proposed,including underdetermined blind source separation(UBSS)and Hilbert transform(HT).A solution that includes underdetermined blind source separation,modal order determination,and oscillation parameter identification has been proposed and demonstrated for the first time in a systematic manner.The proposed UBSS-HT method uses the energy ratio function to determine the fault time,and uses Bayesian information criteria(BIC)to achieve modal order determination.It expounds the theory of dimension space,demonstrates the feasibility of building virtual multi-channel,realizes source signal separation through blind source separation,and finally identifies oscillation parameters through HT in Hilbert space.The performance of the proposed method is evaluated through a large number of system modeling simulations and on-site recording data experiments,verifying its effectiveness,accuracy,and anti-interference ability.

关键词

欠定盲源分离/低频振荡/能量比函数/维度变换/源数估计

Key words

underdetermined blind source separation(UBSS)/low-frequency oscillation/energy ratio function/dimension transformation/source number estimation

分类

信息技术与安全科学

引用本文复制引用

夏远洋,李啸骢,徐俊华,刘治理,刘源..基于UBSS算法的电力系统低频振荡辨识方法[J].中国电机工程学报,2024,44(13):5073-5083,中插5,12.

基金项目

国家自然科学基金项目(51267001,U1965202) (51267001,U1965202)

广西自然科学基金项目(2014GXNSFAA118338) (2014GXNSFAA118338)

广西科学研究与技术开发计划项目(14122006-29). Project Supported by National Natural Science Foundation of China(51267001,U1965202) (14122006-29)

Guangxi Natural Science Foundation(2014GXNSFAA118338) (2014GXNSFAA118338)

Guangxi Scientific Research and Technical Development Project(14122006-29). (14122006-29)

中国电机工程学报

OA北大核心CSTPCD

0258-8013

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