Academic Journal
Probabilistic Global Maximum Power Point Tracking Algorithm for Continuously Varying Partial Shading Conditions on Autonomous PV Systems
| العنوان: | Probabilistic Global Maximum Power Point Tracking Algorithm for Continuously Varying Partial Shading Conditions on Autonomous PV Systems |
|---|---|
| المؤلفون: | Cao, Kha Bao Khanh, Boitier, Vincent |
| المساهمون: | Équipe Énergie et Systèmes Embarqués (LAAS-ESE), Laboratoire d'analyse et d'architecture des systèmes (LAAS), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT) |
| المصدر: | ISSN: 1949-243X. |
| بيانات النشر: | HAL CCSD Scientific Research Publishing (SCIRP) |
| سنة النشر: | 2024 |
| المجموعة: | Université Toulouse 2 - Jean Jaurès: HAL |
| مصطلحات موضوعية: | Global Maximum Power Point Tracking, GMPPT, fast varying partial shading conditions, autonomous PV systems, GMPPT review, Photovoltaic, PV, [SPI]Engineering Sciences [physics] |
| الوصف: | International audience ; A photovoltaic (PV) string with multiple modules with bypass diodes frequently deployed on a variety of autonomous PV systems may present multiple power peaks under uneven shading. For optimal solar harvesting, there is a need for a control schema to force the PV string to operate at global maximum power point (GMPP). While a lot of tracking methods have been proposed in the literature, they are usually complex and do not fully take advantage of the available characteristics of the PV array. This work highlights how the voltage at operating point and the forward voltage of the bypass diode are considered to design a global maximum power point tracking (GMPPT) algorithm with a very limited global search phase called Fast GMPPT. This algorithm successfully tracks GMPP between 94% and 98% of the time under a theoretical evaluation. It is then compared against Perturb and Observe, Deterministic Particle Swarm Optimization, and Grey Wolf Optimization under a sequence of irradiance steps as well as a power-over-voltage characteristics profile that mimics the electrical characteristics of a PV string under varying partial shading conditions. Overall, the simulation with the sequence of irradiance steps shows that while Fast GMPPT does not have the best convergence time, it has excellent convergence rate as well as causes the least amount of power loss during the global search phase. Experimental test under varying partial shading conditions shows that while the GMPPT proposal is simple and lightweight, it is very performant under a wide range of dynamically varying partial shading conditions and boasts the best energy efficiency (94.74%) out of the 4 tested algorithms. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| Relation: | hal-04437742; https://laas.hal.science/hal-04437742; https://laas.hal.science/hal-04437742/document; https://laas.hal.science/hal-04437742/file/epe_article_CAO_BOITIER.pdf |
| DOI: | 10.4236/epe.2024.161002 |
| الاتاحة: | https://laas.hal.science/hal-04437742 https://laas.hal.science/hal-04437742/document https://laas.hal.science/hal-04437742/file/epe_article_CAO_BOITIER.pdf https://doi.org/10.4236/epe.2024.161002 |
| Rights: | http://creativecommons.org/licenses/by/ ; info:eu-repo/semantics/OpenAccess |
| رقم الانضمام: | edsbas.8173FED7 |
| قاعدة البيانات: | BASE |
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