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Yassine El Alami, Elmostafa Chetouani, Hamza Mokhliss, Fatima Ouerradi, Mohssin Aoutoul, Said Bounouar, Rachid Bendaoud, Ahmed Faize, Redouane Rmaily. Optimizing solar energy efficiency with an improved hill-climbing maximum power point tracking control approach: hardware implementation[J]. Clean Energy, 2024, 8(5): 167-176. DOI: 10.1093/ce/zkae061
Citation: Yassine El Alami, Elmostafa Chetouani, Hamza Mokhliss, Fatima Ouerradi, Mohssin Aoutoul, Said Bounouar, Rachid Bendaoud, Ahmed Faize, Redouane Rmaily. Optimizing solar energy efficiency with an improved hill-climbing maximum power point tracking control approach: hardware implementation[J]. Clean Energy, 2024, 8(5): 167-176. DOI: 10.1093/ce/zkae061

Optimizing solar energy efficiency with an improved hill-climbing maximum power point tracking control approach: hardware implementation

  • This article implements maximum power point tracking (MPPT) based on the improved hill-climbing algorithm for photovoltaic (PV) systems feeding resistive loads. A direct current-to-direct current boost converter is inserted between the PV system and the load to achieve matching. The converter is managed using MPPT based on the hill-climbing algorithm. The objective of this paper is to optimize the code program to achieve the best compromise between accuracy and rapidity by implementing this algorithm using a microcontroller. Two PV systems are tested under identical meteorological conditions. In the first, an improved hill-climbing MPPT controller is used whereas, in the second, the conventional version is employed. The experimental results obtained show a significant enhancement in terms of speed for the improved algorithm with a value of 0.4 s for the response time and 3% for the oscillation power; those values remain satisfactory in terms of precision of the algorithm compared with the conventional system studied and the compared algorithm from the literature.
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