Reactive Power Management by Optimal Positioning of FACTS Controllers using MFO Algorithm

Lalit Kumar, M. M. Kar, Sanjay Kumar
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引用次数: 8

Abstract

In this article, the moth flame optimization (MFO) algorithm is applied for reactive power planning (RPP) by placing FACTS controllers in optimal position. The main objective of the article is to minimize the real power loss considering different loading conditions. Furthermore, the operating cost of the transmission system and voltage profile is evaluated which plays a critical role in choosing the Controller based technique is compared with some other evolutionary techniques like Particle Swarm Optimization (PSO) and Biogeography-based optimization (BBO) which is applied on IEEE 30 bus system. The superiority of MFO is demonstrated in terms of real power losses, operating cost, and voltage profile of the system compared to PSO and BBO techniques and can be suggested for RPP.
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基于MFO算法的FACTS控制器最优定位无功管理
本文将蛾焰优化(MFO)算法应用于无功规划(RPP),将FACTS控制器置于最优位置。本文的主要目的是考虑不同的负载条件,使实际功率损失最小。在此基础上,对输电系统的运行成本和电压分布进行了评估,并与基于粒子群优化(PSO)和基于生物地理的优化(BBO)等进化算法进行了比较。与PSO和BBO技术相比,MFO的优势体现在实际功率损耗、运行成本和系统电压分布方面,可以推荐用于RPP。
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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