Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing
The model-based methods of maximum power point (MPP) tracking in photovoltaic installations are widely known. One of these methods proposes the use of tracking by direct estimation of the maximum power point resistance using irradiance measurement processing. It proposes six different models for thi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/24/7247 |
| _version_ | 1827699851116150784 |
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| author | Juan Ríos Juan Manuel Enrique Antonio Javier Barragán José Manuel Andújar |
| author_facet | Juan Ríos Juan Manuel Enrique Antonio Javier Barragán José Manuel Andújar |
| author_sort | Juan Ríos |
| collection | DOAJ |
| description | The model-based methods of maximum power point (MPP) tracking in photovoltaic installations are widely known. One of these methods proposes the use of tracking by direct estimation of the maximum power point resistance using irradiance measurement processing. It proposes six different models for this estimate. In the present work, an exhaustive analysis to determine the robustness and accuracy of the different models was carried out. To perform the analysis, irradiance data sets, used to fit the parameters of the models, were collected. In addition, tests were done to determine MPP tracking accuracy of each of the six models. To carry out the tests, all models were compared with a widely used maximum power point tracking algorithm, <i>perturb & observe</i>, for different values of irradiance, temperature, and load. |
| first_indexed | 2024-03-10T13:59:18Z |
| format | Article |
| id | doaj.art-a215f9522b91438c961472f840a828ec |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T13:59:18Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a215f9522b91438c961472f840a828ec2023-11-21T01:19:12ZengMDPI AGSensors1424-82202020-12-012024724710.3390/s20247247Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement ProcessingJuan Ríos0Juan Manuel Enrique1Antonio Javier Barragán2José Manuel Andújar3Departamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, SpainDepartamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, SpainDepartamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, SpainDepartamento de Ingeniería Electrónica, de Sistemas Informáticos y Automática, Universidad de Huelva, 21007 Huelva, SpainThe model-based methods of maximum power point (MPP) tracking in photovoltaic installations are widely known. One of these methods proposes the use of tracking by direct estimation of the maximum power point resistance using irradiance measurement processing. It proposes six different models for this estimate. In the present work, an exhaustive analysis to determine the robustness and accuracy of the different models was carried out. To perform the analysis, irradiance data sets, used to fit the parameters of the models, were collected. In addition, tests were done to determine MPP tracking accuracy of each of the six models. To carry out the tests, all models were compared with a widely used maximum power point tracking algorithm, <i>perturb & observe</i>, for different values of irradiance, temperature, and load.https://www.mdpi.com/1424-8220/20/24/7247irradiancemeasurement processingmaximum power point trackingMPPTmaximum power point resistancemaximum power point tracking efficiency |
| spellingShingle | Juan Ríos Juan Manuel Enrique Antonio Javier Barragán José Manuel Andújar Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing Sensors irradiance measurement processing maximum power point tracking MPPT maximum power point resistance maximum power point tracking efficiency |
| title | Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing |
| title_full | Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing |
| title_fullStr | Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing |
| title_full_unstemmed | Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing |
| title_short | Comparative Analysis of Robustness and Tracking Efficiency of Maximum Power Point in Photovoltaic Generators, Using Estimation of the Maximum Power Point Resistance by Irradiance Measurement Processing |
| title_sort | comparative analysis of robustness and tracking efficiency of maximum power point in photovoltaic generators using estimation of the maximum power point resistance by irradiance measurement processing |
| topic | irradiance measurement processing maximum power point tracking MPPT maximum power point resistance maximum power point tracking efficiency |
| url | https://www.mdpi.com/1424-8220/20/24/7247 |
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