Analysis of Factors Influencing Photovoltaic Generators Optimal Installation in Distribution Network

Mayke Bezerra Alencar, W. Neves, B. A. Souza
{"title":"Analysis of Factors Influencing Photovoltaic Generators Optimal Installation in Distribution Network","authors":"Mayke Bezerra Alencar, W. Neves, B. A. Souza","doi":"10.56293/ijasr.2022.5439","DOIUrl":null,"url":null,"abstract":"The installed capacity generation and the load distribution effects on the optimal location and sizing of photovoltaic generators in the distribution network are analyzed in this article. A genetic algorithm estimates the optimal location and sizing of photovoltaic generators. The calculation of the feeder annual energy losses, which are the objective function of the optimization problem, is performed by the backward/forward method. The complete feeder's annual active load duration curve is segmented into three levels. It is assumed that the load curves in all buses are identical to the feeder and the irradiance and ambient temperature are invariant to the average value for each load level. The analysis is based on scenarios created for a 69-bus test system.","PeriodicalId":13763,"journal":{"name":"International Journal of Applied Science and Engineering Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Applied Science and Engineering Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56293/ijasr.2022.5439","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

The installed capacity generation and the load distribution effects on the optimal location and sizing of photovoltaic generators in the distribution network are analyzed in this article. A genetic algorithm estimates the optimal location and sizing of photovoltaic generators. The calculation of the feeder annual energy losses, which are the objective function of the optimization problem, is performed by the backward/forward method. The complete feeder's annual active load duration curve is segmented into three levels. It is assumed that the load curves in all buses are identical to the feeder and the irradiance and ambient temperature are invariant to the average value for each load level. The analysis is based on scenarios created for a 69-bus test system.
影响光伏发电机组配电网优化安装的因素分析
分析了发电装机容量和负荷分布对配电网中光伏发电机组最优位置和最优规模的影响。采用遗传算法估计光伏发电机组的最优位置和规模。采用后向/正向法计算馈线年能量损失,作为优化问题的目标函数。整个馈线的年主动负荷持续时间曲线分为三个水平。假定负载曲线在所有公共汽车是相同的给料机和辐照度和环境温度不变的每个负载的平均值的水平。分析是基于场景创建69总线测试系统。
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