Chaymae Boubii, Brahim El Bhiri, I. E. Kafazi, R. Bannari
{"title":"A comparison between MPC, Perturb & Observe, and Incremental Conductance Method","authors":"Chaymae Boubii, Brahim El Bhiri, I. E. Kafazi, R. Bannari","doi":"10.1109/GPECOM58364.2023.10175795","DOIUrl":null,"url":null,"abstract":"The permanent change in the climate, in particular the change in temperature and solar radiation, directly affects the amount of photovoltaic energy obtained. For this, scientists have used a technology that follows the maximum power point to ensure a continuous harvest of maximum power. This technology is the MPPT. Despite the varying temperature, irradiation, or shading effects, the latter is used to derive the MPP. This method allows us to manage the necessary energy with fewer panels while also lowering the expense of extending the photovoltaic frame. Numerous regular and atypical MPPT calculations exist. This paper aims to study and analyze one of the MPPT programming methods, precisely the predictive control model approach. This method has become more interesting daily because of its optimal results compared to the results of the two traditional MPPT algorithms (the P&O and the InC). So, we used this article to simulate MPC algorithm in the MATLAB/SIMULINK software.","PeriodicalId":288300,"journal":{"name":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 5th Global Power, Energy and Communication Conference (GPECOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GPECOM58364.2023.10175795","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
The permanent change in the climate, in particular the change in temperature and solar radiation, directly affects the amount of photovoltaic energy obtained. For this, scientists have used a technology that follows the maximum power point to ensure a continuous harvest of maximum power. This technology is the MPPT. Despite the varying temperature, irradiation, or shading effects, the latter is used to derive the MPP. This method allows us to manage the necessary energy with fewer panels while also lowering the expense of extending the photovoltaic frame. Numerous regular and atypical MPPT calculations exist. This paper aims to study and analyze one of the MPPT programming methods, precisely the predictive control model approach. This method has become more interesting daily because of its optimal results compared to the results of the two traditional MPPT algorithms (the P&O and the InC). So, we used this article to simulate MPC algorithm in the MATLAB/SIMULINK software.