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Siting and Sizing of Distributed Generation and Shunt Capacitor Banks in Radial Distribution System Using Constriction Factor Particle Swarm Optimization

机译：使用收缩因子粒子群优化的径向分布系统分布式发电和分流电容器组的选址和尺寸

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摘要

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.
机译：本文提出了先进的解决方案来在径向分配系统（RDS）中最佳地分配分布式生成（DG）和并联电容器（SC）银行以缓解功率损耗，请重新调节电压曲线，膨胀电压稳定性指数，缩小总电压偏差，获得更多节能。在找到最佳站点和DGS和SC银行大小的框架中，通过收缩因子修改粒子群优化（PSO）技术，其旨在在IEEE 33总线系统和实用的巴西136总线RDS中应用。在考虑平等和不等式限制的同时，对多目标问题进行不同案例研究。提出了与PSO和改进PSO的比较分析，以投影采用算法的优先措施。此外，也可以将所得结果与最近浮出的少数最先进的算法进行比较，以呈现所实现算法的优化能力。

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