Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis

Noor Aliff Nazmi Bin Noor Azhar, H. Mohamad, N. A. Salim, Zuhaila Mat Yasin
{"title":"Optimal DG Placement for Power System Reliability based on N-1 Contingency Analysis","authors":"Noor Aliff Nazmi Bin Noor Azhar, H. Mohamad, N. A. Salim, Zuhaila Mat Yasin","doi":"10.1109/SCOReD53546.2021.9652699","DOIUrl":null,"url":null,"abstract":"Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.","PeriodicalId":6762,"journal":{"name":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","volume":"16 1","pages":"174-179"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 19th Student Conference on Research and Development (SCOReD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SCOReD53546.2021.9652699","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Typically, consumers experience power outages as a result of transmission system issues. Transmission lines are one of the most used technical systems for transporting large amounts of electricity from one part of a country to the farthest point in the opposite direction. The transmission lines traverse many terrain types and geographic regions, which makes them more sensitive to various types of atmospheric disasters and causes frequent line faults and power outages. Therefore, power system reliability and power loss are important, since if these losses are higher than the industry norm, the amount of power accessible to customers will be reduced. Power from a distributed generator (DG) system is incorporated into a power system in this study to improve the power system reliability, average energy not supplied (AENS), and reduce transmission line losses. The results of an optimal DG installation are gained from the penetration of distributed generation in an IEEE 14-bus system by using the Evolutionary Programming (EP) optimization technique. The results prove that with the use of EP optimization, power system reliability can be improved post optimization.
基于N-1应急分析的电力系统可靠性DG优化配置
通常情况下,消费者会因传输系统问题而遭遇停电。输电线路是最常用的技术系统之一,用于将大量电力从一个国家的一个地区输送到相反方向的最远点。输电线路跨越多种地形和地理区域,对各种大气灾害更加敏感,线路故障和停电频发。因此,电力系统的可靠性和功率损耗是很重要的,因为如果这些损耗高于行业标准,客户可获得的电量将会减少。本研究将分布式发电机(DG)系统的电力并入电力系统,以提高电力系统的可靠性、平均不供能(AENS)和降低输电线路损耗。利用进化规划优化技术,从分布式发电渗透到IEEE 14总线系统中,得到了DG的最优安装结果。结果表明,采用EP优化方法可以提高优化后的电力系统可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信