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基于相轨迹MLE指标的暂态功角稳定在线辨识

魏少攀 杨明 韩学山 马世英

电力系统自动化2017,Vol.41Issue(16):71-79,9.
电力系统自动化2017,Vol.41Issue(16):71-79,9.DOI:10.7500/AEPS20170105007

基于相轨迹MLE指标的暂态功角稳定在线辨识

Online Identification for Transient Angle Stability Based on MLE Index of Phase Trajectory

魏少攀 1杨明 1韩学山 1马世英2

作者信息

  • 1. 电网智能化调度与控制教育部重点实验室(山东大学),山东省济南市250061
  • 2. 中国电力科学研究院,北京市100192
  • 折叠

摘要

Abstract

In order to realize the transient angle stability prediction,an on-line transient stability identification method is proposed,in which the maximum Lyapunov exponent (MLE) of the dynamical system is used to analyze the characteristics of rotor speed difference-rotor angle difference in the phase plane.Firstly,MLE stability principle and calculation mechanism are described.Secondly,with the single machine system as an example,the relationship between rotor speed difference-rotor angle difference characteristics and transient angle stability in different scenarios is analyzed strictly from the perspective of physical mechanism.Furthermore,following an improvement of the MLE method by using the recursive least square algorithm (RLS) and the automatic optimization of parameters according to phase trajectory characteristics,the criteria of transient power angle stability is proposed,and the online identification method is formed.Finally,the method is extended to the multi-machine system by double machine equivalent.The simulation results of the New England 10 machine 39-node system verify the effectiveness of the method.The proposed method is valid for both first swing and multi swing stability judgment problems,and has strong fault tolerance to generator grouping.

关键词

广域测量系统(WAMS)/暂态功角稳定/转速差-功角差特性/最大李雅普诺夫指数(MLE)/递推最小二乘

Key words

wide area measurement system (WAMS)/transient angle stability/rotor speed difference-rotor angle difference characteristics/maximum Lyapunov exponent (MLE)/recursive least square (RLS)

引用本文复制引用

魏少攀,杨明,韩学山,马世英..基于相轨迹MLE指标的暂态功角稳定在线辨识[J].电力系统自动化,2017,41(16):71-79,9.

基金项目

国家自然科学基金资助项目(51477091) (51477091)

国家电网公司科技项目(XTT1-15-056).This work is supported by National Natural Science Foundation of China (No.51477091) and State Grid Corporation of China (No.XTT1-15-056). (XTT1-15-056)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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