利用混合粒子化学反应优化算法求解经济调度问题

Maisam Abbas, Aftab Ahmad, Yasir Kamal, Hamayoon Shah
{"title":"利用混合粒子化学反应优化算法求解经济调度问题","authors":"Maisam Abbas, Aftab Ahmad, Yasir Kamal, Hamayoon Shah","doi":"10.31580/ojst.v4i3.2015","DOIUrl":null,"url":null,"abstract":"The electrical power demand is on heave due to constant increase in demand from manufacturing firms and ménage. Therefore optimized and cost operative power generation is the requirement of the day. In power system operation and planning the Economic Dispatch (ED) problem is prevailing and noteworthy one. The ED problem of several standards is disentangled with so many classical and meta-heuristics optimization techniques. In the triumphed research work, a unique and innovative optimization procedure, Chemical Reaction Optimization (CRO) hybridized with Particle Swarm Optimization (PSO) algorithm is recommended for the solution of ED problem. Generating unit power limits, load fulfillment and prohibited operating zones are considered as constrained for different IEEE standard ED problems. The non-convex economic dispatch problem is coded at Hybrid Particle Chemical Reaction Optimization (HP-CRO) charter and employed in MATLAB for 50 trials, 50 search agents and 1000 iterations. The offered technique is applied on various IEEE standard test systems including 6, 15 and 40 generating units. The exhibited results are paralleled with stated practices mentioned in the literature for above test systems. The results obtained from proposed techniques give an edge to those obtained from other techniques from cost point of view.","PeriodicalId":19674,"journal":{"name":"Open Access Journal of Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A solution to economic dispatch problem using hybrid particle chemical reaction optimization (HP-CRO) algorithm\",\"authors\":\"Maisam Abbas, Aftab Ahmad, Yasir Kamal, Hamayoon Shah\",\"doi\":\"10.31580/ojst.v4i3.2015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The electrical power demand is on heave due to constant increase in demand from manufacturing firms and ménage. Therefore optimized and cost operative power generation is the requirement of the day. In power system operation and planning the Economic Dispatch (ED) problem is prevailing and noteworthy one. The ED problem of several standards is disentangled with so many classical and meta-heuristics optimization techniques. In the triumphed research work, a unique and innovative optimization procedure, Chemical Reaction Optimization (CRO) hybridized with Particle Swarm Optimization (PSO) algorithm is recommended for the solution of ED problem. Generating unit power limits, load fulfillment and prohibited operating zones are considered as constrained for different IEEE standard ED problems. The non-convex economic dispatch problem is coded at Hybrid Particle Chemical Reaction Optimization (HP-CRO) charter and employed in MATLAB for 50 trials, 50 search agents and 1000 iterations. The offered technique is applied on various IEEE standard test systems including 6, 15 and 40 generating units. The exhibited results are paralleled with stated practices mentioned in the literature for above test systems. The results obtained from proposed techniques give an edge to those obtained from other techniques from cost point of view.\",\"PeriodicalId\":19674,\"journal\":{\"name\":\"Open Access Journal of Science and Technology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Access Journal of Science and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.31580/ojst.v4i3.2015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Access Journal of Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31580/ojst.v4i3.2015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

由于制造业和娱乐业的需求不断增加,电力需求正在下降。因此,优化和低成本的发电是当今的要求。在电力系统运行规划中,经济调度问题是一个普遍存在且值得关注的问题。许多标准的优化问题被许多经典的和元启发式的优化技术所解决。在成功的研究工作中,提出了一种独特而创新的优化方法,即化学反应优化(CRO)与粒子群优化(PSO)算法的混合优化方法。针对不同的IEEE标准ED问题,考虑了发电机组功率限制、负荷完成和禁止操作区域的约束。采用混合粒子化学反应优化(HP-CRO)算法对非凸经济调度问题进行编码,并在MATLAB中进行50次试验、50个搜索代理和1000次迭代。所提供的技术已应用于各种IEEE标准测试系统,包括6、15和40发电机组。所展示的结果与上述测试系统的文献中提到的陈述实践是平行的。从成本的角度来看,从所建议的技术中获得的结果比从其他技术中获得的结果具有优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A solution to economic dispatch problem using hybrid particle chemical reaction optimization (HP-CRO) algorithm
The electrical power demand is on heave due to constant increase in demand from manufacturing firms and ménage. Therefore optimized and cost operative power generation is the requirement of the day. In power system operation and planning the Economic Dispatch (ED) problem is prevailing and noteworthy one. The ED problem of several standards is disentangled with so many classical and meta-heuristics optimization techniques. In the triumphed research work, a unique and innovative optimization procedure, Chemical Reaction Optimization (CRO) hybridized with Particle Swarm Optimization (PSO) algorithm is recommended for the solution of ED problem. Generating unit power limits, load fulfillment and prohibited operating zones are considered as constrained for different IEEE standard ED problems. The non-convex economic dispatch problem is coded at Hybrid Particle Chemical Reaction Optimization (HP-CRO) charter and employed in MATLAB for 50 trials, 50 search agents and 1000 iterations. The offered technique is applied on various IEEE standard test systems including 6, 15 and 40 generating units. The exhibited results are paralleled with stated practices mentioned in the literature for above test systems. The results obtained from proposed techniques give an edge to those obtained from other techniques from cost point of view.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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