Comparative Analysis on Optimal Placement of TCSC under Single Line Contingency by Using PSO and GA

Author:

Oo Su Myat Noe, ,Myint Swe Swe,Usuda Shouji

Abstract

In the network contingencies, the branch overloading and voltage violation are the most serious conditions and may lead to security problems. The application of Thyristor Controlled Series Capacitor (TCSC) can provide the required apparent reactance smoothly and rapidly and can reduce network contingency problems. This paper focuses an application of Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to find out the optimal locations of TCSC devices under single contingency to reduce the voltage drops at system buses and line flow improvement on transmission lines. The suitability of the proposed technique is examined on Myanmar Electric Power System. The optimized location provided by each method is applied to single line contingency condition and the responses are observed. According to the simulation results, PSO method can provide the better the stability performance under single line contingency.

Publisher

EJournal Publishing

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Instrumentation

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Data-Driven Small-Signal Stability Boundary Based on Damping Ratio Sensitivity;2022 5th International Conference on Energy, Electrical and Power Engineering (CEEPE);2022-04-22

2. Co-ordination Among Multiple Hybrid AC/DC Microgrids for Optimal Power Sharing and Power Management Based on Multi Objective Particle Swarm Optimization;2022 6th International Conference on Green Energy and Applications (ICGEA);2022-03-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3