Integration of Distributed Generation and Plug-in Electric Vehicles on Power Distribution System by Using Queuing Theory

Author:

Oonsivilai Anant1ORCID,Boribun Banyat2,Pao-la-or Padej1

Affiliation:

1. School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand

2. Department of Smart Electronics and Electric Vehicles, Faculty of Technology, Udon Thani Rajabhat University, Udon Thani 41000, Thailand

Abstract

Plug-in electric vehicles (PEVs) and distributed generation (DG) can positively and negatively impact the distribution system. Therefore, this paper presents the modeling and analysis of DG and PEVs’ penetration levels of the three-phase unbalanced radial distribution system. The study aims to optimize the distribution system’s DG sizing and PEV charging to minimize total power loss. The test system is the 4th circuit of the Nonsung service station along Thaharn Road, Muang District, Udon Thani, Thailand. According to objective function and constraints, such control variables as installation buses and rated outputs of DG and the penetration levels of PEVs were obtained to evaluate the total power loss. Significantly, the charging demand of PEVs is an uncertain load estimated by queuing theory integration with the minimization tool called the differential evaluation (DE) method. According to the result comparison of a four case simulation, the total power losses of queuing theory and DE application are minimum. Finally, total power losses conform to the regulation of the Provincial Electricity Authority (PEA), Thailand.

Funder

SUT Research

Development Fund

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

Reference24 articles.

1. Optimal investment planning for distributed generation in a competitive electricity market;Bhattacharya;IEEE Trans. Power Syst.,2004

2. Distributed generation: Semantic hype or the dawn of a new era?;Puttgen;IEEE Power Energy Mag.,2003

3. Optimal sizing and placement of DG in a radial distribution network using sensitivity based methods;Singh;Int. Electr. Eng. J. (IEEJ),2014

4. Optimal distributed generation allocation for reliability, losses, and voltage improvement;Borges;Int. J. Electr. Power Energy Syst.,2006

5. Hung, D.Q. (2014). Smart Integration of Distributed Renewable Generation and Battery Energy Storage. [Ph.D. Thesis, The University of Queensland].

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