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首页> 外文期刊>International Journal of Systems Signal Control & Engineering Applications >Robust Power System Stabilizer Design Using Genetic Local Search Technique for Single Machine Connected to an Infinite Bus
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Robust Power System Stabilizer Design Using Genetic Local Search Technique for Single Machine Connected to an Infinite Bus

机译：基于遗传局部搜索技术的单机连接无限总线的鲁棒电力系统稳定器设计

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The genetic local search technique hybridizes the genetic algorithm and the local search (such as hill climbing) in order to eliminate the disadvantages in genetic algorithm. The parameters of the power system stabilizer (gain, phase lead time constant) are tuned by considering the single machine connected to infinite bus system. Here, power system stabilizer are used for damping low frequency local mode of oscillations. Eigen value analysis shows that the proposed GLSPSS based PSS have better performance compared with conventional and the Genetic Algorithm Based Power System Stabilizer (GAPSS). Integral of time multiplied absolute value of error (ITAE) is taken as the performance index of the selected system. Genetic and Evolutionary Algorithm (GEA) toolbox is used along with MATLAB/SIMULINK for simulation.
机译：遗传局部搜索技术将遗传算法和局部搜索（例如爬坡）混合在一起，以消除遗传算法的缺点。电力系统稳定器的参数（增益，相位超前时间常数）通过考虑连接到无限总线系统的单台电机进行调整。在此，电力系统稳定器用于衰减低频本地振荡模式。特征值分析表明，与常规算法和基于遗传算法的电力系统稳定器（GAPSS）相比，基于GLSPSS的PSS具有更好的性能。将时间乘以误差的绝对值（ITAE）的积分作为所选系统的性能指标。遗传和进化算法（GEA）工具箱与MATLAB / SIMULINK一起用于仿真。

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