经济负荷调度问题中不同粒子群算法的比较分析

K. Kalita, A. Rai, Kunal Pandey, Rachana Garg
{"title":"经济负荷调度问题中不同粒子群算法的比较分析","authors":"K. Kalita, A. Rai, Kunal Pandey, Rachana Garg","doi":"10.1109/ComPE49325.2020.9200066","DOIUrl":null,"url":null,"abstract":"The determination of optimal power generation by generating units in an interconnected power system at the least possible cost, subject to power balance and limits of generation constraints, is called Economic Load Dispatch (ELD) problem. Different variants of Particle Swarm Optimization (PSO) applied on the problem of ELD are compared in this paper. The various methods viz - Conventional PSO, Simulated Annealing based PSO (SA-PSO), PSO with Time-Varying Acceleration Constant (PSO-TVAC) and Adaptive PSO (APSO). These methods are tested on a six-generator electrical power system. A comparative analysis of all these methods has been done on the basis of their ability to give an optimum solution, convergence","PeriodicalId":6804,"journal":{"name":"2020 International Conference on Computational Performance Evaluation (ComPE)","volume":"51 1","pages":"475-479"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comparative Analysis of different Variants of Particle Swarm Optimization for Economic Load Dispatch Problem\",\"authors\":\"K. Kalita, A. Rai, Kunal Pandey, Rachana Garg\",\"doi\":\"10.1109/ComPE49325.2020.9200066\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The determination of optimal power generation by generating units in an interconnected power system at the least possible cost, subject to power balance and limits of generation constraints, is called Economic Load Dispatch (ELD) problem. Different variants of Particle Swarm Optimization (PSO) applied on the problem of ELD are compared in this paper. The various methods viz - Conventional PSO, Simulated Annealing based PSO (SA-PSO), PSO with Time-Varying Acceleration Constant (PSO-TVAC) and Adaptive PSO (APSO). These methods are tested on a six-generator electrical power system. A comparative analysis of all these methods has been done on the basis of their ability to give an optimum solution, convergence\",\"PeriodicalId\":6804,\"journal\":{\"name\":\"2020 International Conference on Computational Performance Evaluation (ComPE)\",\"volume\":\"51 1\",\"pages\":\"475-479\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computational Performance Evaluation (ComPE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComPE49325.2020.9200066\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Performance Evaluation (ComPE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComPE49325.2020.9200066","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

在电力平衡和发电约束的限制下,互联电力系统中各发电机组以尽可能低的成本确定最优发电量的问题被称为经济负荷调度问题。本文比较了粒子群算法在ELD问题上的应用。各种方法包括传统粒子群算法、基于模拟退火的粒子群算法(SA-PSO)、时变加速度常数粒子群算法(PSO- tvac)和自适应粒子群算法(APSO)。这些方法在一个六台发电机的电力系统上进行了测试。在给出最优解和收敛性的基础上,对所有这些方法进行了比较分析
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of different Variants of Particle Swarm Optimization for Economic Load Dispatch Problem
The determination of optimal power generation by generating units in an interconnected power system at the least possible cost, subject to power balance and limits of generation constraints, is called Economic Load Dispatch (ELD) problem. Different variants of Particle Swarm Optimization (PSO) applied on the problem of ELD are compared in this paper. The various methods viz - Conventional PSO, Simulated Annealing based PSO (SA-PSO), PSO with Time-Varying Acceleration Constant (PSO-TVAC) and Adaptive PSO (APSO). These methods are tested on a six-generator electrical power system. A comparative analysis of all these methods has been done on the basis of their ability to give an optimum solution, convergence
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