随机激励作用下电力系统机电振荡机理解析
Analysis of the Mechanism of Electromechanical Oscillations for Power System under Random Excitation
DOI: 10.12677/JEE.2019.72017, PDF,   
作者: 姜锦涛：东北电力大学电气工程学院，吉林 吉林
关键词: 随即激励；低频振荡；环境响应信号；模态参数；Random Excitation； Low Frequency Oscillation； Ambient Signal； Mode Parameters
摘要: 随机激励作用下的电力系统响应中蕴含有丰富的动态信息。本文以随机微分方程和电力系统随机激励特征为基础，通过对电力系统随机微分–代数方程的线性化，推导了随机激励下电力系统动态响应的解析形式，从数学角度证明了机电振荡特征在电力系统随机响应中的存在性，揭示了利用随机激励作用下系统响应提取系统振荡特征的基本机理。以负荷随机激励下IEEE四机两区域系统响应数据及某区域电网扰动录波数据为例，通过与理论振荡特征参数的比较及对概率统计结果的分析，探讨了利用随机响应识别系统机电振荡特征的正确性，进一步夯实了基于随机响应电力系统振荡特征辨识的理论基础。
Abstract: There is a wealth of dynamic information hidden in system responses which are subject to the random excitations. On the basis of the stochastic differential algebraic equations and features of random excitations, by linearizing the equations, this paper derivates the analytical expressions of the power system dynamic response under random excitation. So we mathematically prove the presence of power oscillation characteristics in power ambient data. It reveals the basic mechanism of system oscillation characteristics by using ambient signals. Based on the case of small fluctuations caused by random changes of loads of IEEE-four generators two areas system, comparing the identified parameters with theoretical characteristic parameters and analysis of the results of probability distributions, we conclude that it is feasible and effective to identify the oscillation characteristics by using the ambient data. Our work further reinforces the theoretical basis of the oscillation characteristics identification on the basis of the ambient signal.
文章引用：姜锦涛. 随机激励作用下电力系统机电振荡机理解析[J]. 电气工程, 2019, 7(2): 136-143. https://doi.org/10.12677/JEE.2019.72017

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