Optimal Integration of DSTATCOM and Distributed Generation in the Distribution System using FLFBA

G. H. Reddy, Aditya N. Koundinya, Sadhan Gope, M. Raju
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Abstract

In this paper, optimal allocation of DSTATCOM and distributed generation (DG) are determined for distribution system (DS) using Fractional Lévy Flight Bat Algorithm (FLFBA). To do this work, improvement of the minimum voltage stability index (min VSI) in a DS is considered as an objective function. At the time of analysis of this work, minimum active and reactive power losses are also considered. Two types of DG i.e. Type 1 DG which generates only real power and Type 2 DG, which generates both real and reactive power are used in this work. To evaluate the usefulness of the proposed techniques, it is implemented on the test system of IEEE 69 bus DS. The work is also solved with other meta-heuristic optimization algorithms likes bat algorithm (BA), firefly algorithm (FA), and particle swarm optimization (PSO) algorithms. To validate the implemented approach, the results obtained from these three algorithms are compared with the results of FLFBA.
基于FLFBA的配电系统DSTATCOM与分布式发电的优化集成
本文采用分数阶l飞行蝙蝠算法(FLFBA)确定了配电系统(DS) DSTATCOM和分布式发电(DG)的最优分配。为了完成这项工作,将DS中的最小电压稳定指数(min VSI)的改进视为目标函数。在分析本工作时,还考虑了最小有功和无功损耗。在这项工作中使用了两种类型的DG,即只产生实功率的1型DG和同时产生实功率和无功功率的2型DG。为了评估所提出的技术的有效性,在IEEE 69总线DS测试系统上进行了实现。这项工作也可以用其他的元启发式优化算法来解决,比如蝙蝠算法(BA)、萤火虫算法(FA)和粒子群优化算法(PSO)。为了验证所实现的方法,将这三种算法得到的结果与FLFBA的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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