Modified differential evolution algorithm for optimal power flow with FACTS devices

R. P. Singh, Dharmbir Prasad, Pankaj Kumar, Md. Irfan Khan
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引用次数: 1

Abstract

This paper investigates potential of modified differential evolution (MDE) algorithm, to find solution for optimal power flow (OPF) problem of power system. The performance of the proposed MDE algorithm is experienced on the modified IEEE-30 bus test systems integrating flexible ac transmission systems (FACTS) devices, that is, thyristor controlled phase shifter (TCPS) and thyristor controlled series capacitor (TCSC) at preset locations. The OPF problem of the present work is formulated with five different objective functions viz. (a) fuel cost (with valve point effect) minimization, (b) power transmission losses minimization, (c) emission reduction (d) fuel cost (without valve point effect) minimization and (e) minimization of combined economic and environmental cost. The proposed implementation exploits MDE, resulting in a much shorter execution time while retaining the best possible solution of OPF problem.
带有FACTS装置的最优潮流的改进差分进化算法
本文研究了改进差分进化算法求解电力系统最优潮流问题的潜力。在集成柔性交流传输系统(FACTS)器件(即晶闸管控制移相器(TCPS)和晶闸管控制串联电容器(TCSC)的改进的IEEE-30总线测试系统上,对所提出的MDE算法的性能进行了试验。本工作的OPF问题由五个不同的目标函数组成,即(a)燃料成本(有阀点效应)最小化,(b)输电损失最小化,(c)减排,(d)燃料成本(无阀点效应)最小化和(e)经济和环境综合成本最小化。提出的实现利用MDE,在保留OPF问题的最佳解决方案的同时,大大缩短了执行时间。
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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