Parametric Analysis: Determining the Efficacy of Varied Approaches under Deregulated Electricity Market

M. Hooda, Yogendra K Awasthi, A. Siddiqui, N. Thakur
{"title":"Parametric Analysis: Determining the Efficacy of Varied Approaches under Deregulated Electricity Market","authors":"M. Hooda, Yogendra K Awasthi, A. Siddiqui, N. Thakur","doi":"10.1109/SPIN52536.2021.9566060","DOIUrl":null,"url":null,"abstract":"“The deregulation of power systems and the restructuring of energy utilities into new competitive markets make some novel conditions in the system function”. In such conditions, the solutions of the issues bring new challenges in designing the integrated system. Previously, three contributions were established on the topic of deregulated electricity market (DEM) enhancement. The first contribution deployed the hybrid model termed as “Group Search with Gravitational Force (GS-GF) to meet demand side management principles”. The second contribution concerned on solving the issues of profit maximization using “hybrid Krill Herd and Sine-Cosine Algorithm (KHSCA)” for DEM. Accordingly, the third contribution presented a hybrid “Cuckoo Search GWO (CS-GWO) algorithm” to resolve profit based issues under deregulated power market. This work intends to make a parametric analysis among the three works, thereby determining the most appropriate model that would highly assist in the enhancement of deregulated electricity market.","PeriodicalId":343177,"journal":{"name":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 8th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN52536.2021.9566060","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 deregulation of power systems and the restructuring of energy utilities into new competitive markets make some novel conditions in the system function”. In such conditions, the solutions of the issues bring new challenges in designing the integrated system. Previously, three contributions were established on the topic of deregulated electricity market (DEM) enhancement. The first contribution deployed the hybrid model termed as “Group Search with Gravitational Force (GS-GF) to meet demand side management principles”. The second contribution concerned on solving the issues of profit maximization using “hybrid Krill Herd and Sine-Cosine Algorithm (KHSCA)” for DEM. Accordingly, the third contribution presented a hybrid “Cuckoo Search GWO (CS-GWO) algorithm” to resolve profit based issues under deregulated power market. This work intends to make a parametric analysis among the three works, thereby determining the most appropriate model that would highly assist in the enhancement of deregulated electricity market.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
参数分析:在解除管制的电力市场下确定不同方法的效能
“电力系统的放松管制和能源公用事业的重组进入新的竞争市场,在系统功能方面创造了一些新的条件”。在这种情况下,这些问题的解决给集成系统的设计带来了新的挑战。在此之前,关于放松管制的电力市场(DEM)增强的主题建立了三个贡献。第一个贡献部署了称为“满足需求侧管理原则的引力群搜索(GS-GF)”的混合模型。第二个贡献涉及使用“混合磷虾群和正弦余弦算法(KHSCA)”解决DEM的利润最大化问题。据此,第三篇论文提出了一种混合的“布谷鸟搜索GWO (CS-GWO)算法”,以解决解除管制的电力市场中基于利润的问题。本文拟对三者进行参数化分析,从而确定最合适的模型,对加强放松管制的电力市场有很大的帮助。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Temperature Compensation Circuit for ISFET based pH Sensor Knowledge Adaptation for Cross-Domain Opinion Mining Voltage Profile Enhancement of a 33 Bus System Integrated with Renewable Energy Sources and Electric Vehicle Power Quality Enhancement of Cascaded H Bridge 5 Level and 7 Level Inverters PIC simulation study of Beam Tunnel for W- Band high power Gyrotron
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1