Lyapunov exponents over variable window sizes for prediction of rotor angle stability

Haosen Guo, Chen-Ching Liu, Guanqun Wang
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引用次数: 5

Abstract

A PMU-based method using Maximal Lyapunov Exponent (MLE) to determine the stability of a system following a disturbance has been established in previous research. This paper proposes a new method to determine the proper time window of MLE in an on-line environment. Spectral analysis is applied to the oscillation waveforms to calculate the variable window size of MLE. Two MLEs are calculated using the same window size but at different initial times. The consistency of the two MLEs indicates that sufficient information has been included in the first time window to characterize the system dynamics. Otherwise, the window size needs to be adapted for the operating condition. This method increases the accuracy of prediction given by MLE. A case study using a 200-bus system is presented to validate the feasibility of the proposed method.
李雅普诺夫指数在可变窗口尺寸上的转子角稳定性预测
在以往的研究中,已经建立了一种基于pmu的方法,利用极大李雅普诺夫指数(MLE)来确定扰动后系统的稳定性。本文提出了一种确定在线环境下最大似然估计适当时窗的新方法。通过对振荡波形进行频谱分析,计算出了MLE的变窗大小。两个mle使用相同的窗口大小,但在不同的初始时间计算。两个mle的一致性表明,在第一个时间窗口中包含了足够的信息来表征系统动力学。否则,窗口大小需要根据操作条件进行调整。该方法提高了MLE给出的预测精度。以200总线系统为例,验证了该方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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