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Gbest-guided artificial bee colony algorithm based simultaneous placement of distributed generation and shunt capacitor in distribution networks

机译:基于Gbest指导的人工蜂群算法,在分布式网络中同时放置分布式发电和并联电容器

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This paper presents a combined placement of distributed generation (DG) and shunt capacitor in distribution network for the purpose of power loss reduction. The locations of DG and shunt capacitor are evaluated by using power loss index approach and index vector method, respectively. The population based Gbest-guided artificial bee colony meta-heuristic optimisation technique has been implemented to evaluate the optimum size of DG and shunt capacitor simultaneously. This methodology is being demonstrated on 33-bus and 85-bus distribution network. In addition to that, the two load scenarios are considered in this study. The technical analysis has been carried out for different combinations of DG and shunt capacitor. Comparison between various cases for power loss, minimum system voltage, voltage stability index and total voltage deviation are also mentioned in this paper. The numerical results obtained through proposed approach have been compared to the published research papers for showing its effectiveness.
机译:本文提出了分布式发电(DG)和并联电容器在配电网中的组合放置,目的是降低功率损耗。分别使用功率损耗指数法和指数矢量法评估了DG和并联电容器的位置。已经实施了基于人群的Gbest指导的人工蜂群元启发式优化技术,以同时评估DG和并联电容器的最佳尺寸。这种方法已在33总线和85总线的配电网络上得到证明。除此之外,本研究还考虑了两种负载情况。已经对DG和并联电容器的不同组合进行了技术分析。本文还提到了各种情况下的功率损耗,最小系统电压,电压稳定指数和总电压偏差的比较。通过提议的方法获得的数值结果已经与已发表的研究论文进行了比较,以显示其有效性。

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