A Cost Effective Solution to Security Constrained Unit Commitment and Dispatch Problem using Hybrid Search Algorithm

Sushil Prashar, Vikram Kumar Kamboj, Kultaar Deep Singh
{"title":"A Cost Effective Solution to Security Constrained Unit Commitment and Dispatch Problem using Hybrid Search Algorithm","authors":"Sushil Prashar, Vikram Kumar Kamboj, Kultaar Deep Singh","doi":"10.1051/e3sconf/202018401071","DOIUrl":null,"url":null,"abstract":"The Security constraints unit commitment (SCUC) is a powerful scheduling technique used in power markets for daily planning. SCUC is a framework that combines two common algorithms in the electricity industry: Unit Commitment (UC) and Economic Dispatch (ED), while adding a new dimension – Security. Load demand is changing continuously due to variation of load of industrial, residential and commercial sectors. Thus, it is very important to decide which generating unit should be kept on and how much power should be dispatched so that time varying load demand can be meet on Hourly basis and there should be no scope of occurrence of loss of load hour (LOLH). In the proposed research, the recently developed hybrid meta-heuristics search algorithm i.e. GWO-RES has been applied to solve the security constrained Unit Commitment and dispatch problem of Electric power system. The efficiency of the proposed hybrid algorithm has been tested for standard IEEE-14 Bus, 30-Bus and 56-bus system and it has been experimentally found that GWO-RES performs much better than hybrid GWO-PS and GWO-RS algorithm.","PeriodicalId":11445,"journal":{"name":"E3S Web of Conferences","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1051/e3sconf/202018401071","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"E3S Web of Conferences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1051/e3sconf/202018401071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

The Security constraints unit commitment (SCUC) is a powerful scheduling technique used in power markets for daily planning. SCUC is a framework that combines two common algorithms in the electricity industry: Unit Commitment (UC) and Economic Dispatch (ED), while adding a new dimension – Security. Load demand is changing continuously due to variation of load of industrial, residential and commercial sectors. Thus, it is very important to decide which generating unit should be kept on and how much power should be dispatched so that time varying load demand can be meet on Hourly basis and there should be no scope of occurrence of loss of load hour (LOLH). In the proposed research, the recently developed hybrid meta-heuristics search algorithm i.e. GWO-RES has been applied to solve the security constrained Unit Commitment and dispatch problem of Electric power system. The efficiency of the proposed hybrid algorithm has been tested for standard IEEE-14 Bus, 30-Bus and 56-bus system and it has been experimentally found that GWO-RES performs much better than hybrid GWO-PS and GWO-RS algorithm.
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
基于混合搜索算法的安全约束机组承诺与调度问题的经济有效解决
安全约束单元承诺(SCUC)是电力市场中用于日常规划的一种强大的调度技术。scc是一个框架,它结合了电力行业中两种常见的算法:单位承诺(Unit Commitment, UC)和经济调度(Economic Dispatch, ED),同时增加了一个新的维度——安全性。由于工业、住宅和商业部门负荷的变化,负荷需求不断变化。因此,确定哪台发电机组应保持运行,应分配多少电力,以满足时变负荷的每小时需求,而不应出现负荷损失小时(LOLH)的范围是非常重要的。本研究将新发展的混合元启发式搜索算法GWO-RES应用于电力系统安全约束下的机组承诺与调度问题。在标准的IEEE-14总线、30总线和56总线系统上测试了该混合算法的效率,实验发现GWO-RES算法的性能明显优于GWO-PS和GWO-RS混合算法。
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
E3S Web of Conferences
E3S Web of Conferences Energy-Energy (all)
CiteScore
0.90
自引率
0.00%
发文量
1133
期刊介绍: E3S Web of Conferences is an Open Access publication series dedicated to archiving conference proceedings in all areas related to Environment, Energy and Earth Sciences. The journal covers the technological and scientific aspects as well as social and economic matters. Major disciplines include: soil sciences, hydrology, oceanography, climatology, geology, geography, energy engineering (production, distribution and storage), renewable energy, sustainable development, natural resources management… E3S Web of Conferences offers a wide range of services from the organization of the submission of conference proceedings to the worldwide dissemination of the conference papers. It provides an efficient archiving solution, ensuring maximum exposure and wide indexing of scientific conference proceedings. Proceedings are published under the scientific responsibility of the conference editors.
期刊最新文献
Rapid Analysis of Heavy Metal Element Adsorption by SCG Based on LIBS Technology Biomass carbon aerogel modified cathodes for high-efficiency removal of Roxithromycin in water by electro-Fenton method Fabrication of Dyes Adsorption Separation Membrane Via Post-Thermal Annealing Mediated Phase Inversion of Sulfonated Polyarylene Ethers Copolymers Characterization of zeolitic imidazole framework (ZIF-8) catalyst for potential biodiesel production from waste cooking oil (WCO) Screening Key Factors in the Preparation of Alkaline-Based Adsorbents for Amoxicillin Removal Using Design of Experiments
×
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:604180095
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