Modeling of the Load Duration Curve Using the Asymmetric Generalized Gaussian Distribution: Case of the Tunisian Power System

O.M.M. Mohamed, M. Jaidane-Saidane, J. Souissi
{"title":"Modeling of the Load Duration Curve Using the Asymmetric Generalized Gaussian Distribution: Case of the Tunisian Power System","authors":"O.M.M. Mohamed, M. Jaidane-Saidane, J. Souissi","doi":"10.1109/PES.2008.4596461","DOIUrl":null,"url":null,"abstract":"This paper proposes a new estimation technique of the load duration curve (LDC) which takes into account recent modifications of the load demand in the Tunisian power system (STEG) related to the increasing of the air conditioning load. This approach is based on the estimation of the hourly peak load distribution by asymmetric generalized Gaussian distribution (AGG). Numerical results indicate that AGG technique is accurate, efficient and robust.","PeriodicalId":371212,"journal":{"name":"Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 10th International Conference on Probablistic Methods Applied to Power Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PES.2008.4596461","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

Abstract

This paper proposes a new estimation technique of the load duration curve (LDC) which takes into account recent modifications of the load demand in the Tunisian power system (STEG) related to the increasing of the air conditioning load. This approach is based on the estimation of the hourly peak load distribution by asymmetric generalized Gaussian distribution (AGG). Numerical results indicate that AGG technique is accurate, efficient and robust.
非对称广义高斯分布下的负荷持续时间曲线建模——以突尼斯电力系统为例
本文提出了一种新的负荷持续时间曲线估计技术,该技术考虑了突尼斯电力系统(STEG)最近因空调负荷增加而引起的负荷需求变化。该方法基于非对称广义高斯分布(AGG)对小时峰值负荷分布的估计。数值结果表明,AGG技术具有准确、高效、鲁棒性好等优点。
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:604180095
Book学术官方微信