一种基于共生生物搜索算法的损耗最小配电电路重构

2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA) Pub Date : 2019-04-01 DOI:10.1109/ICPEA.2019.8818519

S. Venkatesh, G. Gokulakrishnan, K. S. Kumar, N. Murali

{"title":"一种基于共生生物搜索算法的损耗最小配电电路重构","authors":"S. Venkatesh, G. Gokulakrishnan, K. S. Kumar, N. Murali","doi":"10.1109/ICPEA.2019.8818519","DOIUrl":null,"url":null,"abstract":"The work gives a novel evolutionary technique for the re-configuration test IEEE systems. The framework applied for optimization is Symbiotic Organism Search Algorithm (SOSA). The aim is to find optimal reconfiguration and to improve the active loss in the consumer side. This approach is examined on 16 and 33 IEEE test circuits. The results shows a valid improvement of active losses. The time required for execution is less when compared to other approaches.","PeriodicalId":427328,"journal":{"name":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Novel Distribution Circuit Reconfiguration for Loss Minima With Symbiotic Organism Search Algorithm\",\"authors\":\"S. Venkatesh, G. Gokulakrishnan, K. S. Kumar, N. Murali\",\"doi\":\"10.1109/ICPEA.2019.8818519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The work gives a novel evolutionary technique for the re-configuration test IEEE systems. The framework applied for optimization is Symbiotic Organism Search Algorithm (SOSA). The aim is to find optimal reconfiguration and to improve the active loss in the consumer side. This approach is examined on 16 and 33 IEEE test circuits. The results shows a valid improvement of active losses. The time required for execution is less when compared to other approaches.\",\"PeriodicalId\":427328,\"journal\":{\"name\":\"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)\",\"volume\":\"63 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPEA.2019.8818519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPEA.2019.8818519","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

该工作为重构测试系统提供了一种新的进化技术。优化应用的框架是共生生物搜索算法(SOSA)。其目的是找到最佳的重新配置，并改善消费者端的主动损耗。该方法在16和33 IEEE测试电路上进行了测试。结果表明，有源损耗得到了有效的改善。与其他方法相比，执行所需的时间更少。

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

A Novel Distribution Circuit Reconfiguration for Loss Minima With Symbiotic Organism Search Algorithm

The work gives a novel evolutionary technique for the re-configuration test IEEE systems. The framework applied for optimization is Symbiotic Organism Search Algorithm (SOSA). The aim is to find optimal reconfiguration and to improve the active loss in the consumer side. This approach is examined on 16 and 33 IEEE test circuits. The results shows a valid improvement of active losses. The time required for execution is less when compared to other approaches.

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

2019 IEEE 2nd International Conference on Power and Energy Applications (ICPEA)

自引率

0.00%

发文量