{"title":"基于Harris Hawk优化器的无功规划问题无功源管理","authors":"Swetha Shekarappa G, Sheila Mahapatra, Saurav Raj","doi":"10.1186/s43067-023-00111-3","DOIUrl":null,"url":null,"abstract":"Abstract Reactive power management has grown more crucial for increased synchronization in modern power systems, since transmission loss minimization is a basic condition for secure power system operation. This paper proposes the Oppositional-based Harris Hawk Optimizer technique as an advanced meta-heuristic nature inspired methodology, which is applied on the conventional Ward Hale 6 bus system and the IEEE 30 bus system. The solution space is further altered by combining HHO with the Oppositional Based Learning technique in order to enhance approximation for the current solution. The suggested OHHO outperforms HHO as well as other optimization methodologies recently published articles, according to simulation results obtained on typical test systems.","PeriodicalId":100777,"journal":{"name":"Journal of Electrical Systems and Information Technology","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Management of Var sources for the reactive power planning problem by oppositional Harris Hawk optimizer\",\"authors\":\"Swetha Shekarappa G, Sheila Mahapatra, Saurav Raj\",\"doi\":\"10.1186/s43067-023-00111-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Reactive power management has grown more crucial for increased synchronization in modern power systems, since transmission loss minimization is a basic condition for secure power system operation. This paper proposes the Oppositional-based Harris Hawk Optimizer technique as an advanced meta-heuristic nature inspired methodology, which is applied on the conventional Ward Hale 6 bus system and the IEEE 30 bus system. The solution space is further altered by combining HHO with the Oppositional Based Learning technique in order to enhance approximation for the current solution. The suggested OHHO outperforms HHO as well as other optimization methodologies recently published articles, according to simulation results obtained on typical test systems.\",\"PeriodicalId\":100777,\"journal\":{\"name\":\"Journal of Electrical Systems and Information Technology\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Electrical Systems and Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s43067-023-00111-3\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Electrical Systems and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s43067-023-00111-3","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
摘要在现代电力系统中,无功功率管理对于提高同步性能变得越来越重要,因为传输损耗最小化是电力系统安全运行的基本条件。本文提出了基于对立的Harris Hawk Optimizer技术作为一种先进的元启发式方法,并将其应用于传统的Ward Hale 6总线系统和IEEE 30总线系统。通过将HHO与基于对立的学习技术相结合,进一步改变了解空间,以增强对当前解的近似。根据在典型测试系统上获得的仿真结果,所建议的OHHO优于HHO以及最近发表的其他优化方法。
Management of Var sources for the reactive power planning problem by oppositional Harris Hawk optimizer
Abstract Reactive power management has grown more crucial for increased synchronization in modern power systems, since transmission loss minimization is a basic condition for secure power system operation. This paper proposes the Oppositional-based Harris Hawk Optimizer technique as an advanced meta-heuristic nature inspired methodology, which is applied on the conventional Ward Hale 6 bus system and the IEEE 30 bus system. The solution space is further altered by combining HHO with the Oppositional Based Learning technique in order to enhance approximation for the current solution. The suggested OHHO outperforms HHO as well as other optimization methodologies recently published articles, according to simulation results obtained on typical test systems.