{"title":"Implementation of BAT Algorithm as Maximum Power Point Tracking Technique for Photovoltaic System Under Partial Shading Conditions","authors":"K. Tey, S. Mekhilef, M. Seyedmahmoudian","doi":"10.1109/ECCE.2018.8557460","DOIUrl":null,"url":null,"abstract":"Partial shading condition is one of the main problem in the implementation of PV system as electricity generation. Thus, a maximum power point tracking (MPPT) technique which able to track the global maximum power point (GMPP) is very important. This paper introduces a MPPT algorithm which is able to track the GMPP by using the bat optimization algorithm. Generally, the disadvantages of using optimization algorithm as MPPT method is the long tracking time required. The proposed bat algorithm has the capability to converge rapidly towards the GMPP along the searching process by using the variable pulse rate and loudness parameters. The simulation and experimental results of the proposed algorithm shows that the GMPP is able to be tracked within 1.5 seconds accurately for different partial shading condition.","PeriodicalId":415217,"journal":{"name":"2018 IEEE Energy Conversion Congress and Exposition (ECCE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Energy Conversion Congress and Exposition (ECCE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECCE.2018.8557460","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
Partial shading condition is one of the main problem in the implementation of PV system as electricity generation. Thus, a maximum power point tracking (MPPT) technique which able to track the global maximum power point (GMPP) is very important. This paper introduces a MPPT algorithm which is able to track the GMPP by using the bat optimization algorithm. Generally, the disadvantages of using optimization algorithm as MPPT method is the long tracking time required. The proposed bat algorithm has the capability to converge rapidly towards the GMPP along the searching process by using the variable pulse rate and loudness parameters. The simulation and experimental results of the proposed algorithm shows that the GMPP is able to be tracked within 1.5 seconds accurately for different partial shading condition.