利用混合PSOGSA算法优化潮流

2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON) Pub Date : 2014-12-29 DOI:10.1109/RTUCON.2014.6998173

Jordan Radosavljević, N. Arsic, M. Jevtic

{"title":"利用混合PSOGSA算法优化潮流","authors":"Jordan Radosavljević, N. Arsic, M. Jevtic","doi":"10.1109/RTUCON.2014.6998173","DOIUrl":null,"url":null,"abstract":"This paper presents a new hybrid algorithm based on the particle swarm optimization (PSO) and the gravitational search algorithm (GSA) for solving the optimal power flow (OPF) in power systems. Performance of this approach for the OPF problem is studied and evaluated on the standard IEEE 30-bus test system with different objective functions. Simulation results on the OPF problem show that the hybrid PSOGSA algorithm provides effective and robust high-quality solution.","PeriodicalId":259790,"journal":{"name":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Optimal power flow using hybrid PSOGSA algorithm\",\"authors\":\"Jordan Radosavljević, N. Arsic, M. Jevtic\",\"doi\":\"10.1109/RTUCON.2014.6998173\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new hybrid algorithm based on the particle swarm optimization (PSO) and the gravitational search algorithm (GSA) for solving the optimal power flow (OPF) in power systems. Performance of this approach for the OPF problem is studied and evaluated on the standard IEEE 30-bus test system with different objective functions. Simulation results on the OPF problem show that the hybrid PSOGSA algorithm provides effective and robust high-quality solution.\",\"PeriodicalId\":259790,\"journal\":{\"name\":\"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RTUCON.2014.6998173\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RTUCON.2014.6998173","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

摘要

提出了一种基于粒子群算法和引力搜索算法的电力系统最优潮流求解混合算法。在具有不同目标函数的标准IEEE 30总线测试系统上对该方法求解OPF问题的性能进行了研究和评价。对OPF问题的仿真结果表明，混合PSOGSA算法提供了有效且鲁棒的高质量解。

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

Optimal power flow using hybrid PSOGSA algorithm

This paper presents a new hybrid algorithm based on the particle swarm optimization (PSO) and the gravitational search algorithm (GSA) for solving the optimal power flow (OPF) in power systems. Performance of this approach for the OPF problem is studied and evaluated on the standard IEEE 30-bus test system with different objective functions. Simulation results on the OPF problem show that the hybrid PSOGSA algorithm provides effective and robust high-quality solution.

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

2014 55th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)

自引率

0.00%

发文量