Comparison of EPSO, PSO and EP Approaches in Transmission Loss Minimization in Power System Network

Author:

Jumaat Siti Amely1,Musirin Ismail2,Rahmat Nur Azzamudin2

Affiliation:

1. Universiti Tun Hussein Onn Malaysia

2. Universiti Teknologi MARA Malaysia

Abstract

The paper presents a comparison of Computational Intelligence techniques are Evolutionary Programming Swarm Optimization (EPSO), Particle Swarm Optimization (PSO), Evolutionary Programming (EP) to optimal placement and sizing of Static Var Compensator. The technique has been implemented to minimize the transmission loss and improve the voltage profile of the system. Simulation performed on standard IEEE 118-Bus RTS and indicated that EPSO a feasible to achieve the objective function.

Publisher

Trans Tech Publications, Ltd.

Reference9 articles.

1. S. Biansoongnern, in Optimal SVC and TCSC Placement for Minimization of Transmission Losses presented at the International Conference on Power System Technology 2006 (PowerCon 2006) (2006).

2. S.A. Jumaat, I. Musirin, M.M. Othman, and H. Mokhlis in Computational Intelligence Based Techniques Multiple FACTS Device Installation for Power System Security (Journal of Theoretical and Applied Information Technology, 31st December 2012, Vol. 46 No. 2, 2012).

3. M.R. Al Rashid, M.E. El-Hawary, in Application of Computational Intelligence Techniques for Solving the Revived Optimal Power Flow Problem, (Electric Power Systems Research 79, 2009).

4. Miranda. V and F. N, in EPSO-Best-Of-Two-Worlds Meta-Heuristics Applied to power system problems presented at the Congress on Evolutionary Computation, 2002. CEC '02. 2002, (2002).

5. J. Kennedy and R. Eberhart in Particle Swarm Optimization presented at the IEEE International Conference on Neural Networks, Perth, Australia, (1995).

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