{"title":"Optimal Photovoltaic Distributed Generation Placement for Losses Reduction using Improved Lighting Search Algorithm","authors":"L. A. Wong, N. Asrina Ramlee, Tien Ming Hii","doi":"10.1109/PECON.2018.8684163","DOIUrl":null,"url":null,"abstract":"This paper presents an approach to obtain the optimal photovoltaic-based distribution generation (PVDG) placement using quantum-inspired binary lightning search algorithm (QBLSA). The objective function is computed with the aim to reduce the power losses in the PVDG integrated power network. The performance of the QBLSA has been validated.","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 7th International Conference on Power and Energy (PECon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PECON.2018.8684163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents an approach to obtain the optimal photovoltaic-based distribution generation (PVDG) placement using quantum-inspired binary lightning search algorithm (QBLSA). The objective function is computed with the aim to reduce the power losses in the PVDG integrated power network. The performance of the QBLSA has been validated.