Boni Satya Varun Sai, Sarang A. Khadtare, D. Chatterjee
{"title":"An Improved MPPT Technique Under Partial Shading Condition Using Simple P&O Algorithm","authors":"Boni Satya Varun Sai, Sarang A. Khadtare, D. Chatterjee","doi":"10.1109/CISPSSE49931.2020.9212234","DOIUrl":null,"url":null,"abstract":"Partial shading (PS) affects the productivity of power generation in the photovoltaic system. During PS condition, PV panel shows multiple peaks in power-voltage (P- V) and current-voltage (I-V) characteristics, making conventional Maximum Power Point Tracking (MPPT) algorithms like Perturb and observe (P&O) method, Incremental conductance (I&C) method etc., fails to extract maximum power. Optimization based techniques like Particle swarm optimization (PSO), Cuckoo Search (CS) and Maximum power point scanning (MPPS) methods etc., can perform an active monitoring of maximum power under PS condition. Since, optimization-based systems are complex and time-consuming, in this paper an improved MPPT is proposed for tracking maximum power under PS condition. The Proposed MPPT method does not require any computational burden, making it more compatible for real time with good tracking efficiency. The proposed MPPT is verified for 3S configuration with various shading patterns showed satisfactory results with excellent dynamic behaviour and very high tracking efficiency.","PeriodicalId":247843,"journal":{"name":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISPSSE49931.2020.9212234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Partial shading (PS) affects the productivity of power generation in the photovoltaic system. During PS condition, PV panel shows multiple peaks in power-voltage (P- V) and current-voltage (I-V) characteristics, making conventional Maximum Power Point Tracking (MPPT) algorithms like Perturb and observe (P&O) method, Incremental conductance (I&C) method etc., fails to extract maximum power. Optimization based techniques like Particle swarm optimization (PSO), Cuckoo Search (CS) and Maximum power point scanning (MPPS) methods etc., can perform an active monitoring of maximum power under PS condition. Since, optimization-based systems are complex and time-consuming, in this paper an improved MPPT is proposed for tracking maximum power under PS condition. The Proposed MPPT method does not require any computational burden, making it more compatible for real time with good tracking efficiency. The proposed MPPT is verified for 3S configuration with various shading patterns showed satisfactory results with excellent dynamic behaviour and very high tracking efficiency.