基于粒子群算法的H∞环整形鲁棒电力系统稳定器设计

Swapan Santra, S. Paul
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引用次数: 0

摘要

电力系统稳定器(PSS)是用来为发电机的振荡提供阻尼的。阻尼是通过调制发电机的励磁来实现的,以便为转子转速偏差提供足够的电转矩。本文提出了一种基于粒子群优化的鲁棒电力系统稳定器设计方法,该方法采用H∞、回路整形技术。采用粒子群算法设计了基于权重函数选择和超前滞后补偿器的控制器参数。本设计基于McFarlane-Glover的归一化质因数分解H∞环整形技术。利用MATLAB对一个简单的单机无限母线(SMIB)系统在各种负载条件下的仿真,验证了该方法设计的鲁棒电力系统稳定器(RPSS)的有效性。
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PSO based robust power system stabilizer design using H∞ loop shaping technique
Power system stabilizer (PSS) is used to provide damping to the generator's oscillations. The damping is achieved through modulation of generator's excitation so as to provide adequate electrical torque to the rotor speed deviations. In this paper a particle swarm optimization (PSO) based robust power system stabilizer design using H∞, loop shaping technique is reported. Weighting function selection and the lead lag compensator based controller parameters has been designed using PSO algorithm. This design is based upon normalized coprime factorization H∞ loop shaping technique by McFarlane-Glover. The efficacy of robust power system stabilizer (RPSS), designed through this method has been demonstrated by simulation of a simple single machine infinite bus (SMIB) system for various loading conditions using MATLAB.
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