Optimal power flow solution by a modified particle swarm optimization algorithm

H. Hajian-Hoseinabadi, S. H. Hosseini, M. Hajian
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引用次数: 19

Abstract

This paper presents a modified particle swarm optimization (MPSO) algorithm for solving the optimal power flow (OPF) problems. The main distinction of this approach is in using particlepsilas worth experience in stead of the best previous experience. The proposed approach is evaluated on the IEEE 30-bus test system which minimizes the total fuel cost considering operational constraints such as power flow equations, transmission flow limits, bus voltages and reactive power of generators. The results obtained using the proposed approach are compared with results of other optimization methods.
用改进的粒子群算法求解最优潮流
提出了一种求解最优潮流问题的改进粒子群算法(MPSO)。这种方法的主要区别在于,它使用的是更有价值的经验,而不是最好的经验。在IEEE 30总线测试系统上对该方法进行了评估,该方法考虑了功率流方程、传输流限制、母线电压和发电机无功功率等运行约束,使总燃料成本最小化。并与其他优化方法的结果进行了比较。
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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