An Optimal Accommodation of Distributed Generation in Power Distribution Systems

B. Kiran Babu, Sydulu Maheswarapu
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引用次数: 2

Abstract

This work presents a novel Multi Verse Optimisation (MVO) algorithm to solve the optimal accommodation of distributed generation (OADG) problem of power distribution systems (PDS). The proposed algorithm uses the concepts of white-hole, black-hole and worm-hole to realise the algorithm steps. The white-hole is used in the exploration phase. Whereas the black-hole and worm-hole are used in exploitation phase. The objectives to be optimised are: minimisation of real power loss, minimisation of bus voltage deviation, and maximisation of voltage stability index. The proposed approach is validated through IEEE 33-bus and IEEE 69-bus radial power distribution systems and results are compared with genetic algorithm (GA), Particle swarm optimisation (PSO), Hybrid GA-PSO, Teaching learning based optimisation (TLBO), and Quasi-oppositional teaching learning based optimisation (QOTLBO) algorithms and found to be promising.
配电系统中分布式发电的最优调节
本文提出了一种新的多节点优化(MVO)算法来解决配电系统(PDS)中分布式发电(OADG)的最优调节问题。该算法采用白洞、黑洞和虫洞的概念来实现算法步骤。白洞用于探测阶段。而在开发阶段则采用黑洞和虫洞。要优化的目标是:实际功率损耗最小化,母线电压偏差最小化,电压稳定指数最大化。该方法通过IEEE 33总线和IEEE 69总线径向配电系统进行了验证,并与遗传算法(GA)、粒子群优化(PSO)、混合GA-PSO、基于教学的优化(TLBO)和基于准对立教学的优化(QOTLBO)算法进行了比较,发现其具有良好的应用前景。
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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