{"title":"基于MATLAB/Simulink的光伏系统最大功率点跟踪技术评估","authors":"Moein Jazayeri, S. Uysal, K. Jazayeri","doi":"10.1109/GREENTECH.2014.21","DOIUrl":null,"url":null,"abstract":"This paper mainly focuses on the performance evaluation of \"Perturb&Observe\" and \"Incremental Conductance\" algorithms as the most commonly utilized two Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems. Matlab/SIMULINK platform is used to model and simulate the entire system. The simulation model of a PV module is constructed based on the one-diode mathematical model of a solar cell and the model is validated using the manufacturer's datasheet parameters for a commercially available PV module. A boost type DC/DC converter topology is utilized and modeled and simulation models for \"P&O\" and \"IncCond\" algorithms are constructed. According to the results, both of the algorithms have shown almost similar performances under identical test conditions. Despite its relatively high complexity, the IncCond algorithm has been slightly more efficient and has reached to the MPP in a shorter time period, while most probably the simple structure of the P&O algorithm has caused it to be the most preferred MPPT algorithm. The paper provides reliable information on the performance and characteristics of the mentioned two MPPT techniques which can be used by system designers to improve the overall efficiency and reduce the cost of PV system applications.","PeriodicalId":194092,"journal":{"name":"2014 Sixth Annual IEEE Green Technologies Conference","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"32","resultStr":"{\"title\":\"Evaluation of Maximum Power Point Tracking Techniques in PV Systems Using MATLAB/Simulink\",\"authors\":\"Moein Jazayeri, S. Uysal, K. Jazayeri\",\"doi\":\"10.1109/GREENTECH.2014.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper mainly focuses on the performance evaluation of \\\"Perturb&Observe\\\" and \\\"Incremental Conductance\\\" algorithms as the most commonly utilized two Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems. Matlab/SIMULINK platform is used to model and simulate the entire system. The simulation model of a PV module is constructed based on the one-diode mathematical model of a solar cell and the model is validated using the manufacturer's datasheet parameters for a commercially available PV module. A boost type DC/DC converter topology is utilized and modeled and simulation models for \\\"P&O\\\" and \\\"IncCond\\\" algorithms are constructed. According to the results, both of the algorithms have shown almost similar performances under identical test conditions. Despite its relatively high complexity, the IncCond algorithm has been slightly more efficient and has reached to the MPP in a shorter time period, while most probably the simple structure of the P&O algorithm has caused it to be the most preferred MPPT algorithm. The paper provides reliable information on the performance and characteristics of the mentioned two MPPT techniques which can be used by system designers to improve the overall efficiency and reduce the cost of PV system applications.\",\"PeriodicalId\":194092,\"journal\":{\"name\":\"2014 Sixth Annual IEEE Green Technologies Conference\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"32\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Sixth Annual IEEE Green Technologies Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GREENTECH.2014.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Sixth Annual IEEE Green Technologies Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GREENTECH.2014.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evaluation of Maximum Power Point Tracking Techniques in PV Systems Using MATLAB/Simulink
This paper mainly focuses on the performance evaluation of "Perturb&Observe" and "Incremental Conductance" algorithms as the most commonly utilized two Maximum Power Point Tracking (MPPT) techniques for photovoltaic systems. Matlab/SIMULINK platform is used to model and simulate the entire system. The simulation model of a PV module is constructed based on the one-diode mathematical model of a solar cell and the model is validated using the manufacturer's datasheet parameters for a commercially available PV module. A boost type DC/DC converter topology is utilized and modeled and simulation models for "P&O" and "IncCond" algorithms are constructed. According to the results, both of the algorithms have shown almost similar performances under identical test conditions. Despite its relatively high complexity, the IncCond algorithm has been slightly more efficient and has reached to the MPP in a shorter time period, while most probably the simple structure of the P&O algorithm has caused it to be the most preferred MPPT algorithm. The paper provides reliable information on the performance and characteristics of the mentioned two MPPT techniques which can be used by system designers to improve the overall efficiency and reduce the cost of PV system applications.