考虑电压稳定性和损耗的突变约束因子粒子群算法在N-1事故中对TCSC进行定位和评级的应用

S. Jayachitra, G. Baskar, T. Feridinand
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引用次数: 3

摘要

本文采用粒子群优化(PSO)、收缩因子优化(CFPSO)、柯西突变-CFPSO (CM-CFPSO)和高斯突变-CFPSO (GM-CFPSO)算法对串联fact控制器晶闸管控制串联电容器(TCSC)在单线意外(N-1)下的最佳布置和设置策略进行了研究,以减少输电线路的过载和功率损耗,提高电力系统的电压稳定性。在CM-CFPSO和GM-CFPSO方法中,提出了一种新的位置方程,并结合了收缩因子法(CF)的特点。为了检测最严重的输电线路,在N-1事故情况下计算综合严重指数(COSI),选取最严重的前3条线路进行研究。为了验证所提出方法的结果,在标准的IEEE 30总线网络上进行了仿真研究。从卓越解、执行时间和稳定收敛性三个方面进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of mutation inspired constrained factor PSO considering voltage stability and losses by locating and rating TCSC during N-1 contingency
This paper describes, a strategy for optimal placement and setting of series FACTS controller thyristor controlled series capacitor (TCSC) under single line contingency (N-1) using particle swarm optimisation (PSO), constriction factor PSO (CFPSO), Cauchy mutation-CFPSO (CM-CFPSO) and Gaussian mutation-CFPSO (GM-CFPSO) algorithm in order to reduce over loading and power loss in transmission lines and to improve voltage stability of a power system. In this proposed CM-CFPSO and GM-CFPSO methods, a new-fangled position equation is framed and the features of the constriction factor approach (CF) is incorporated with the proposed approach. To detect the most severe transmission line, composite severity index (COSI) is calculated under N-1 contingency and top three severe lines are taken for this research work. To validate the consequence of proposed approach, simulation studies are carried out on a standard IEEE 30-bus network. Appraisals are made in provisions of eminence solution, execution time and stable convergence behaviour.
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