电力系统运行中负荷对低频振荡的贡献

C. Sharma, P. Singh
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引用次数: 7

摘要

基于特征的工具通常用于预测电力系统低频振荡的发展。必须开发一种方法来研究载荷和载荷特性对低频振荡发展的影响。本文主要研究电力系统低频振荡的建模问题。目的是检验荷载及其建模对上述研究的影响。研究表明,低频振荡是一个小信号稳定性问题。这允许使用特征向量和特征值来检查电力系统在负荷变化时的稳定性。在此研究中,必须建立动态电力系统的数学模型,并利用潮流计算模型中各变量的初始值。电力系统模型由非线性方程组成,这些非线性方程必须对系统的运行值进行线性化。然后,可以从线性化的电力系统模型中构造系统状态矩阵。用Matlab 7.0编写软件进行上述计算。本文还运用了参与因子、模式形等工具。这些工具在检查负载对系统稳定性的影响时非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Contribution of loads to low frequency oscillations in power system operation
Eigen-based tools have normally been used to predict the development of low frequency oscillation in power systems. A method must be developed to study the effect of loading and load characteristics on the development of low frequency oscillations. This paper is concerned about modeling a power system for low frequency oscillations studies. The purpose is to examine the effect of loads and their modeling on the study mentioned. Research shows that low frequency oscillations are a small signal stability problem. This allows the use of Eigenvectors and Eigenvalues to examine the stability of the power system in the advent of load variation. In this study a mathematical model of the dynamic power system must be built and the initial values of the variables in the model calculated using a load flow. The power system model consists of the non-linear equations which must be linearized about the operating values of the system. The system state matrix can then be constructed from the linearized power system model. Software was written in Matlab 7.0 to perform these mentioned computations. This paper also uses tools such as Participation factors and Mode shape. These tools were useful in examining the effect of loads on the system stability.
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