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考虑发电机控制装置的低频振荡定位及识别方法

蒋平 郑斌青 冯双 吴熙 舒展

电力系统自动化2017,Vol.41Issue(18):40-45,6.
电力系统自动化2017,Vol.41Issue(18):40-45,6.DOI:10.7500/AEPS20161118007

考虑发电机控制装置的低频振荡定位及识别方法

Location and Identification Method for Low Frequency Oscillation Source Considering Control Devices of Generator

蒋平 1郑斌青 1冯双 1吴熙 1舒展2

作者信息

  • 1. 东南大学电气工程学院,江苏省南京市210096
  • 2. 国网江西省电力公司电力科学研究院,江西省南昌市330096
  • 折叠

摘要

Abstract

Negative damping oscillation and forced power oscillation are two typical kinds of low frequency oscillation (LFO).The control devices of the generator including the governor and the exciter are the main source of oscillation,which have essential differences to cause LFO.Thus locating and identifying the source of LFO correctly is of great importance to the adoption of reasonable suppression methods and improvement of system stability.This paper presents a method to locate and identify the LFO sources based on the contribution of the generator control devices to the system damping and the phase shift characteristics of the forced disturbance source.Firstly,based on the study of the generator control devices,the general rules of the electric parameters response of two kinds of oscillation are extracted.Then the criteria of LFO source location and identification is presented.And according to the principle of the location and identification criteria,the calculation method of the criterion index based on empirical mode decomposition (EMD) algorithm is proposed.Finally,the oscillation source location and identification method flow is made to realize the location and analysis of the oscillation sources.The feasibility and effectiveness of the proposed method are verified by practical examples.

关键词

低频振荡/弱阻尼/强迫功率振荡/振荡源/控制装置/经验模态分解

Key words

low frequency oscillation/weak damping/forced power oscillation/oscillation source/control devices/empirical mode decomposition (EMD)

引用本文复制引用

蒋平,郑斌青,冯双,吴熙,舒展..考虑发电机控制装置的低频振荡定位及识别方法[J].电力系统自动化,2017,41(18):40-45,6.

基金项目

This work is supported by National Natural Science Foundation of China (No.51577032).国家自然科学基金资助项目(51577032). (No.51577032)

电力系统自动化

OA北大核心CSCDCSTPCD

1000-1026

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