中国电机工程学报Issue(34)：188-196,9.
采用多参数2阶摄动灵敏度的电力系统低频振荡模态分析方法
Multiple Parameter Modal Analysis of Power System Low-frequency Oscillation Based on the 2nd Order Sensitivity Matrix
摘要
Abstract
A novel method was proposed to analyze oscillation modals applying 2nd order sensitivity matrix based multiple parameters, since the changed parameters of large-scale connected power grids made the analysis of low-frequency oscillation modals difficult. The 2nd order sensitivity matrices based multiple parameters for eigenvalue and eigenvector were deduced. On the basis of sensitivity matrices, the computing formulas for the 2nd eigenvalues and eigenvectors were formed to evaluate power system oscillation modals in the case of multiple parameter modification. The simulation results of IEEE four-machine and sixteen-machine systems have demonstrated that the proposed method can evaluate the small signal stability with high accuracy in the case of large multiple parameters modification to guide the dispatchers to improve the damping ratio of dominant modes. Meanwhile, burdensome deviations calculation is avoided in this method so that the solving steps are direct and explicit, and the process of calculating eigenvalues of high order state matrix is avoided. Much time has been saved in computation.关键词
低频振荡/模态分析/灵敏度矩阵/2阶摄动理论Key words
low-frequency/modal analysis/sensitivity matrix/2nd order perturbation theory分类
信息技术与安全科学引用本文复制引用
王彤,马静,王增平,王上行,彭明法..采用多参数2阶摄动灵敏度的电力系统低频振荡模态分析方法[J].中国电机工程学报,2013,(34):188-196,9.基金项目
国家重点基础研究发展计划项目(973项目)(2012CB 215200)；国家自然科学基金项目(51277193)；中央高校基本科研业务费专项资金项目(11MG01)；教育部留学回国人员科研启动基金资助项目(教外司留[2011]1139号)；河北自然科学基金项目(E2012502034) （973项目）
Supported by The National Basic Research Program of China (973 Program)(2012CB215200) （973 Program）
National Natural Science Foundation of China (51277193) （51277193）
The Chinese University Scientific Fund Project (11MG01) （11MG01）
The Project Sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry ([2011] No.1139) （[2011] No.1139）
Hebei Natural Science Foundation (E2012502034) （E2012502034）
