Low-cost Pyranometer-Based ANN Approach for MPPT in Solar PV Systems
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866911339750883328 |
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| author | Arruda, Luiz Fernando M. Ferber, Moises Greff, Diego |
| author_facet | Arruda, Luiz Fernando M. Ferber, Moises Greff, Diego |
| contents | This article presents a study on the application of artificial neural networks (ANNs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems using low-cost pyranometer sensors. The proposed approach integrates pyranometers, temperature sensors, and an ANN to estimate the duty cycle of a DC/DC converter, enabling the system to consistently operate at its maximum power point. The strategy was implemented in the local control of a Cuk converter and experimentally validated against the conventional Perturb and Observe (P&O) method. Results demonstrate that the ANN-based technique, leveraging affordable sensor technology, achieves accurate MPPT performance with reduced fluctuations, enhancing the responsiveness and efficiency of PV tracking systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_10313 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Low-cost Pyranometer-Based ANN Approach for MPPT in Solar PV Systems Arruda, Luiz Fernando M. Ferber, Moises Greff, Diego Systems and Control This article presents a study on the application of artificial neural networks (ANNs) for maximum power point tracking (MPPT) in photovoltaic (PV) systems using low-cost pyranometer sensors. The proposed approach integrates pyranometers, temperature sensors, and an ANN to estimate the duty cycle of a DC/DC converter, enabling the system to consistently operate at its maximum power point. The strategy was implemented in the local control of a Cuk converter and experimentally validated against the conventional Perturb and Observe (P&O) method. Results demonstrate that the ANN-based technique, leveraging affordable sensor technology, achieves accurate MPPT performance with reduced fluctuations, enhancing the responsiveness and efficiency of PV tracking systems. |
| title | Low-cost Pyranometer-Based ANN Approach for MPPT in Solar PV Systems |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2510.10313 |