差分进化算法在电力系统经济调度问题中的应用

2021 International Conference on Intelligent Computing, Automation and Applications (ICAA) Pub Date : 2021-06-01 DOI:10.1109/ICAA53760.2021.00017

Yaming Ren, Mei-Chun Liao

{"title":"差分进化算法在电力系统经济调度问题中的应用","authors":"Yaming Ren, Mei-Chun Liao","doi":"10.1109/ICAA53760.2021.00017","DOIUrl":null,"url":null,"abstract":"Differential evolution algorithm belongs to intelligent algorithm. The initial population of differential evolution algorithm is generated randomly within the constraint range of variable upper and lower limits, and the vector between random individuals in the population is used as the orientation of individuals. Differential evolution algorithm can effectively search for the optimal solution in the global scope, and it does not need the differentiable and convex properties of the objective function. In this paper, we use the differential evolution algorithm to solve the economic scheduling problem of power system, and the simulation results prove the effectiveness and correctness of the differential evolution algorithm.","PeriodicalId":121879,"journal":{"name":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Application of Differential Evolution Algorithm to Power System Economic Dispatch Problem\",\"authors\":\"Yaming Ren, Mei-Chun Liao\",\"doi\":\"10.1109/ICAA53760.2021.00017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Differential evolution algorithm belongs to intelligent algorithm. The initial population of differential evolution algorithm is generated randomly within the constraint range of variable upper and lower limits, and the vector between random individuals in the population is used as the orientation of individuals. Differential evolution algorithm can effectively search for the optimal solution in the global scope, and it does not need the differentiable and convex properties of the objective function. In this paper, we use the differential evolution algorithm to solve the economic scheduling problem of power system, and the simulation results prove the effectiveness and correctness of the differential evolution algorithm.\",\"PeriodicalId\":121879,\"journal\":{\"name\":\"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAA53760.2021.00017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAA53760.2021.00017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

差分进化算法属于智能算法。差分进化算法的初始种群是在可变上下限约束范围内随机生成的，种群中随机个体之间的向量作为个体的方向。微分进化算法可以有效地在全局范围内寻找最优解，并且不需要目标函数的可微性和凸性。本文采用差分进化算法求解电力系统的经济调度问题，仿真结果证明了差分进化算法的有效性和正确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Application of Differential Evolution Algorithm to Power System Economic Dispatch Problem

Differential evolution algorithm belongs to intelligent algorithm. The initial population of differential evolution algorithm is generated randomly within the constraint range of variable upper and lower limits, and the vector between random individuals in the population is used as the orientation of individuals. Differential evolution algorithm can effectively search for the optimal solution in the global scope, and it does not need the differentiable and convex properties of the objective function. In this paper, we use the differential evolution algorithm to solve the economic scheduling problem of power system, and the simulation results prove the effectiveness and correctness of the differential evolution algorithm.

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

2021 International Conference on Intelligent Computing, Automation and Applications (ICAA)

自引率

0.00%

发文量