ABSTRACT In a competitive electricity power market, reactive power planning (RPP) is a pivotal matter for the power system researchers from operational and economical view points. RPP is concerned with the installation or removal of reactive power equipment in power system. This article proposes an effective way to find out the optimal parameter settings related to the system active power loss as well as operational cost. Genetic Algorithm (GA)-based strategy is applied to determine the optimal values of reactive power generation of generators, size of shunt capacitors, transformer tap settings prior to minimizing the system operating cost due to active power loss, installation cost of shunt capacitors at the weak nodes, and the cost of line-charging elements. The proposed approach is applied to IEEE 30 and IEEE 57 bus test system. Finally, a comparative analysis has been done to validate the efficacy of GA-based approach with some well-established meta-heuristic algorithms.

中文翻译：

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最优无功功率管理问题：使用进化算法的解决方案

摘要 在竞争激烈的电力市场中，无功功率规划 (RPP) 是电力系统研究人员从运营和经济角度考虑的关键问题。RPP 与电力系统中无功功率设备的安装或拆除有关。本文提出了一种有效的方法来找出与系统有功功率损耗和运行成本相关的最佳参数设置。应用基于遗传算法 (GA) 的策略来确定发电机无功发电的最佳值、并联电容器的大小、变压器抽头设置，然后将由于有功功率损耗导致的系统运行成本、并联电容器的安装成本降至最低。弱节点，以及线路充电元件的成本。所提出的方法应用于IEEE 30 和IEEE 57 总线测试系统。最后，