A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems

IF 3.2 Q3 Mathematics

Results in Control and Optimization Pub Date : 2025-03-22 DOI:10.1016/j.rico.2025.100555

Haewon Byeon , Wajdi Alghamdi , Munni Evin , M. Sucharitha , D. David Neels Ponkumar , A. Prakash , J. Sunil

{"title":"A novel swarm intelligence-based approach for solving optimal power flow problems in modern power systems","authors":"Haewon Byeon , Wajdi Alghamdi , Munni Evin , M. Sucharitha , D. David Neels Ponkumar , A. Prakash , J. Sunil","doi":"10.1016/j.rico.2025.100555","DOIUrl":null,"url":null,"abstract":"<div><div>Optimal power flow is the major concern with electric power systems. According to the OPF issue solution, the most suitable points are the compensator output, transformer tap, generator voltage, and generator output powers. In order to solve the optimum power flow difficulties related to the C-UPFC, this research suggested an Improved Pelican optimization algorithm (IPOA). Install the superior flexible AC transmission system (FACTS) in accordance with the transmission line (TL) in a series configuration to provide independent voltage control that combines power flow regulation. The suggested POA method ensures efficiency over the conventional IEEE 57 bus systems. Define the emission fuel cost and fuel cost during the C-UPFC installation. The suggested C-UPFC, when integrated optimally, considerably improves the voltage profile by decreasing power loss, as shown in the experiments. In addition, compared to all previous methods, the suggested algorithm produces superior outcomes, with the suggested method, you may expect to pay 202 tons per hour for emissions and 799.56 tons per hour for gasoline.</div></div>","PeriodicalId":34733,"journal":{"name":"Results in Control and Optimization","volume":"19 ","pages":"Article 100555"},"PeriodicalIF":3.2000,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Results in Control and Optimization","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666720725000414","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}

引用次数: 0

Abstract

Optimal power flow is the major concern with electric power systems. According to the OPF issue solution, the most suitable points are the compensator output, transformer tap, generator voltage, and generator output powers. In order to solve the optimum power flow difficulties related to the C-UPFC, this research suggested an Improved Pelican optimization algorithm (IPOA). Install the superior flexible AC transmission system (FACTS) in accordance with the transmission line (TL) in a series configuration to provide independent voltage control that combines power flow regulation. The suggested POA method ensures efficiency over the conventional IEEE 57 bus systems. Define the emission fuel cost and fuel cost during the C-UPFC installation. The suggested C-UPFC, when integrated optimally, considerably improves the voltage profile by decreasing power loss, as shown in the experiments. In addition, compared to all previous methods, the suggested algorithm produces superior outcomes, with the suggested method, you may expect to pay 202 tons per hour for emissions and 799.56 tons per hour for gasoline.

查看原文本刊更多论文

基于群智能的现代电力系统最优潮流问题求解方法

最优潮流是电力系统的主要问题。根据OPF问题的解决方案，最合适的点是补偿器输出、变压器抽头、发电机电压和发电机输出功率。为了解决与C-UPFC相关的最优潮流问题，本研究提出了一种改进的Pelican优化算法（IPOA）。根据传输线（TL）串联配置，安装高级柔性交流输电系统（FACTS），提供独立的电压控制，结合潮流调节。建议的POA方法确保了传统IEEE 57总线系统的效率。定义C-UPFC安装期间的排放燃料成本和燃料成本。如实验所示，所建议的C-UPFC在优化集成时，通过降低功率损耗大大改善了电压分布。此外，与之前的所有方法相比，建议的算法产生了更好的结果，使用建议的方法，您可能期望每小时支付202吨的排放量和799.56吨的汽油费用。

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分钟内获得全文求助全文

来源期刊