基于粒子群优化的阿尔及利亚电力系统无功优化调度

Y. Amrane, M. Boudour
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引用次数: 11

摘要

提出了一种求解最优无功调度问题的粒子群算法。所提出的粒子群算法已被应用于ORPD问题中,其目标是使有功功率损耗最小化和改善电压分布,满足潮流方程、发电机电压限制、可切换电容器组、变压器分接开关限制和输电线路限制的各种约束。本文提出的方法在IEEE 30总线和阿尔及利亚电力系统114总线上进行了测试,并与文献中另外两种方法遗传算法(GA)、内点法(IPM)等方法进行了比较。结果表明了该方法的有效性和鲁棒性。因此,建议的PSO可以是。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal reactive power dispatch based on particle swarm optimization approach applied to the Algerian electric power system
This paper proposes a particle swarm optimization method for solving optimal reactive power dispatch (ORPD) problem. The proposed PSO have been applied for the ORPD problem with different objectives such as minimization of active power losses and improving the voltage profile satisfying various constraints of power flow equation, generator voltage limits, switchable capacitor banks, transformer tap changer limits, and transmission line limits. The proposed method has been examined and tested on the IEEE 30-bus and the Algerian electric power system 114-bus and the obtained results compared with two other methods, namely, Genetic Algorithm (GA), interior point method (IPM) and other methods in the literature. The result comparisons demonstrate the potential of the proposed approach and show its effectiveness and robustness to solve the ORPD problem. Therefore, the proposed PSO can be a.
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