Abstract This article proffers an advanced solution to allocate the distributed generation (DG) and shunt capacitor (SC) banks optimally in radial distribution system (RDS) to alleviate the power losses, revamp the voltage profile, inflate the voltage stability index, shrink the total voltage deviation, and acquire more energy savings. In the framework of finding the optimal site and size of DGs and SC banks, Particle swarm optimization (PSO) technique is modified with constriction factor and the same is aimed to apply in IEEE 33-bus system and practical Brazil 136-bus RDS. Different case studies are carried out for multiobjective problems while considering equality and inequality constraints. A comparative analysis with PSO and modified PSO is presented to project the precedence of the adopted algorithm. In addition, the obtained results are also compared to the recently surfaced few state-of-the-art algorithms to present the optimizing capability of the implemented algorithm.

中文翻译：

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径向配电系统中分布式发电和并联电容器组的选址和选型，使用压缩因子粒子群优化

摘要 本文提出了一种先进的解决方案，在径向配电系统 (RDS) 中优化分配分布式发电 (DG) 和并联电容器 (SC) 组，以减轻功率损耗，改善电压分布，提高电压稳定指数，缩小总容量。电压偏差，并获得更多的节能。在寻找DGs和SC组的最佳位置和大小的框架下，粒子群优化（PSO）技术修改了收缩因子，同样旨在应用于IEEE 33总线系统和实用的巴西136总线RDS。在考虑平等和不平等约束的同时，针对多目标问题进行了不同的案例研究。提出了与 PSO 和修改后的 PSO 的比较分析，以预测所采用算法的优先级。此外，