{"title":"A Modified Perturb and Observe Maximum Power Point Tracking Technique for Handling Partial Shading","authors":"Saurabh Pal, A. Singhal, Subinoy Roy","doi":"10.1109/IATMSI56455.2022.10119319","DOIUrl":null,"url":null,"abstract":"To ensure that solar PV is operating at its peak efficiency, management approaches for solar PV operation are needed. Photovoltaic PV's current-voltage and power-voltage characteristics show several steps and many peaks when exposed to partial shadowing. It's possible to distinguish between LMPPs (local maximum power points) and an overall maximum power point (GMPP). Perturb and Observe is one of the high-power point techniques. This method is frequently used due to its ease of implementation and lower cost when compared to alternative methods. However, in the case of partial shading, this approach is unable to tell the difference between the local and global maximum power points. The standard perturbs and observe method's flaws will be fixed by the Modified Perturb and Observe Method, which is currently under development. Partial shadowing may now be detected using this new approach, and the position of both GMPP and LMPP can then be determined. The MATLAB/ SIMULINK-implemented boost converter and a photovoltaic system make up the test bed system. The suggested approach's functioning was verified by comparing the findings to those obtained using the more traditional “Ordinary Perturb and Observe” method. Researchers were able to use the novel approach in both natural and shady lighting situations to accurately measure the maximum power point. As well as being more precise, it is also quicker than previous approaches. So, the new technology dramatically improved efficiency and increased the amount of energy that could be harvested from solar PV arrays. In both partial shading and non-shading, the suggested model works well.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IATMSI56455.2022.10119319","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
To ensure that solar PV is operating at its peak efficiency, management approaches for solar PV operation are needed. Photovoltaic PV's current-voltage and power-voltage characteristics show several steps and many peaks when exposed to partial shadowing. It's possible to distinguish between LMPPs (local maximum power points) and an overall maximum power point (GMPP). Perturb and Observe is one of the high-power point techniques. This method is frequently used due to its ease of implementation and lower cost when compared to alternative methods. However, in the case of partial shading, this approach is unable to tell the difference between the local and global maximum power points. The standard perturbs and observe method's flaws will be fixed by the Modified Perturb and Observe Method, which is currently under development. Partial shadowing may now be detected using this new approach, and the position of both GMPP and LMPP can then be determined. The MATLAB/ SIMULINK-implemented boost converter and a photovoltaic system make up the test bed system. The suggested approach's functioning was verified by comparing the findings to those obtained using the more traditional “Ordinary Perturb and Observe” method. Researchers were able to use the novel approach in both natural and shady lighting situations to accurately measure the maximum power point. As well as being more precise, it is also quicker than previous approaches. So, the new technology dramatically improved efficiency and increased the amount of energy that could be harvested from solar PV arrays. In both partial shading and non-shading, the suggested model works well.