基于遗传算法的SMIB系统PID电力系统稳定器设计:线性和非线性方法

P. R. Gandhi, S. K. Joshi
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引用次数: 6

摘要

本文通过基于PID的电力系统稳定器,解决了电力系统在不同运行工况下的低频振荡问题。将PSS参数的整定视为优化问题,采用遗传搜索算法对参数进行整定。本文考虑同步电机(模型1.1)的四阶线性和非线性模型,其中包括发电机主磁场绕组和阻尼器绕组在q轴上,以找出单机无限母线系统机电模式的灵敏度。通过特征值分析和参与因子法确定了电压自动控制器和pid -电力系统稳定器的有效性。非线性仿真结果表明了PID-PSS在各种干扰下提高电力系统稳定性的有效性和能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of PID power system stabilizer using GA for SMIB system: Linear and non-linear approach
In this paper, low frequency oscillations in power system under the different operating conditions have been solved through PID based power system stabilizer. The tuning of the parameters of the PSS are considered as optimization problem, and the parameters are tuned using genetic search algorithm. Here forth-order linear and non-linear model of the synchronous machine (model 1.1) which includes both the generator main field winding and the damper winding in q-axis is considered for finding out the sensitivity of electromechanical modes of single machine infinite bus system. The effectiveness of automatic voltage controller, and PID-power system stabilizer are identified through eigen value analysis and participation factor method. The non-linear simulation results show the effectiveness and capability of PID-PSS for power system stability improvement under various disturbances.
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