Comparison of PSO, DE and Hybrid DE-PSO for LFC of Wind Power Systems

Rodik Wahyu Indrawan, H. Setiadi, Muhammmad Aldo Setiawan, R. P. Prastio
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Abstract

Abstract—This paper investigates the performance of particle swarm optimization (PSO), differential evolution (DE), and hybrid particle swarm optimization- differential evolution (HDEPSO) for solving load frequency control (LFC) problems. Wind power systems LFC model is used to compare the performance of PSO, DE and HPSODE for solving LFC problems. All the simulation are carried out in MATLAB/SIMULINK environment. From the simulation results, it is noticeable that by designing LFC of wind power system using HPSODE, the overshoot and settling time of the wind power system can be reduced and accelerated.
风电系统LFC的PSO、DE和混合DE-PSO比较
摘要:本文研究了粒子群优化(PSO)、差分进化(DE)和混合粒子群优化-差分进化(HDEPSO)求解负载频率控制(LFC)问题的性能。利用风电系统LFC模型,比较了PSO、DE和HPSODE在解决LFC问题时的性能。所有仿真均在MATLAB/SIMULINK环境下进行。从仿真结果可以看出,利用HPSODE设计风电系统的LFC,可以减小和加快风电系统的超调时间和稳定时间。
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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