R. Divya, Ashitha R Nair, S. Harisankar, V. G. S. Sai, M. Nair
{"title":"Illustration of Maximum Power Point Tracking of Photovoltaic Array with Boost Converter Via Perturb and Observe Algorithm","authors":"R. Divya, Ashitha R Nair, S. Harisankar, V. G. S. Sai, M. Nair","doi":"10.1109/AEEES54426.2022.9759789","DOIUrl":null,"url":null,"abstract":"In the present era, Renewable Energy Sources (RESs) are replacing fossil fuels with the objective of promoting replenishable and clean sources of energy. Solar energy is one such RES that is gaining popularity for its availability throughout the day at different intensities and vast potentiality in the processes aiding grid integrations. The features of Photovoltaic (PV) cells mainly rely on climatic conditions like temperature, irradiance that are prone to fluctuations. In addition to this, the unpredictable nature of PV systems necessitates a requirement to assess and test the data corresponding to solar energy using appropriate Maximum Power Point Tracking (MPPT) techniques. This paper focuses on the mechanism of Perturb and Observe (PO) algorithm, a highly efficient MPPT technique implemented on a Solar PV array coupled with a boost converter on MATLAB/SIMULINK with the aim of improving the overall optimality of the solar power data as well as the system on which it is used and also includes a brief comparison of the employed method with other widely used MPPT techniques.","PeriodicalId":252797,"journal":{"name":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 4th Asia Energy and Electrical Engineering Symposium (AEEES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEEES54426.2022.9759789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In the present era, Renewable Energy Sources (RESs) are replacing fossil fuels with the objective of promoting replenishable and clean sources of energy. Solar energy is one such RES that is gaining popularity for its availability throughout the day at different intensities and vast potentiality in the processes aiding grid integrations. The features of Photovoltaic (PV) cells mainly rely on climatic conditions like temperature, irradiance that are prone to fluctuations. In addition to this, the unpredictable nature of PV systems necessitates a requirement to assess and test the data corresponding to solar energy using appropriate Maximum Power Point Tracking (MPPT) techniques. This paper focuses on the mechanism of Perturb and Observe (PO) algorithm, a highly efficient MPPT technique implemented on a Solar PV array coupled with a boost converter on MATLAB/SIMULINK with the aim of improving the overall optimality of the solar power data as well as the system on which it is used and also includes a brief comparison of the employed method with other widely used MPPT techniques.
在当今时代,可再生能源(RESs)正在取代化石燃料,目的是促进可再生和清洁能源。太阳能就是这样一种可再生能源,由于其全天不同强度的可用性和在帮助电网整合过程中的巨大潜力而越来越受欢迎。光伏(PV)电池的特性主要依赖于温度、辐照度等容易波动的气候条件。除此之外,光伏系统的不可预测性要求使用适当的最大功率点跟踪(MPPT)技术评估和测试与太阳能相关的数据。本文重点介绍了Perturb and Observe (PO)算法的原理,这是一种基于MATLAB/SIMULINK的高效MPPT技术,用于太阳能光伏阵列与升压变换器耦合,旨在提高太阳能数据的整体最优性以及使用该算法的系统,并将所采用的方法与其他广泛使用的MPPT技术进行了简要比较。