基于三种粒子群算法的STATCOM多目标无功潮流优化

N. Mancer, B. Mahdad, K. Srairi
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引用次数: 20

摘要

本文提出了一种有效的粒子群算法(PSO),通过动态调整多个STATCOM控制器的参数设置,求解基于多目标最优无功潮流的柔性交流输电系统(FACTS)。考虑了两个目标函数(功率损耗和电压偏差)来验证该方法的鲁棒性。在IEEE 30总线标准测试系统上对该改进的PSO算法进行了性能测试;通过与标准粒子群算法的仿真对比,验证了该算法在求解多目标无功问题时的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi Objective Optimal Reactive Power Flow Based STATCOM Using Three Variant of PSO
This paper proposes, an efficient variant of particle swarm optimization (PSO) to solve the multi-objective optimal reactive power flow (ORPF) based flexible AC transmission system (FACTS) using multi STATCOM Controllers by adjusting dynamically their parameters setting. Two objectives function are considered (power loss and voltage devia- tion) to validate the robustness of the proposed approach. The performance of the proposed variant based PSO approach has been tested on the standard test system IEEE 30-bus; simulation results compared to the standard PSO confirm the effectiveness of the proposed variant to solving the multi-objective reactive power considering multi STATCOM Control- lers.
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