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

Abstract 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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Publication Details

Journal
Clean Energy
Published
2024-08-26
DOI
https://doi.org/10.1093/ce/zkae061
Citations
14
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.43
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article

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

Elmostafa Chetouani, Hamza Mokhliss, Rachid Bendaoud, Mohssin Aoutoul et al.
14 citations
Clean Energy
Photovoltaic System Optimization Techniques
1.43
article

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

Elmostafa Chetouani, Hamza Mokhliss, Rachid Bendaoud, Mohssin Aoutoul, Said Bounouar, R. Rmaily, Yassine El Alami, Ahmed Faize, Fatima Ouerradi
article en
14 citations

Abstract

Abstract 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.

Clean EnergyVol. 8(5)
Mohamed I University (MA), Chouaib Doukkali University (MA), Université Hassan 1er (MA), University of Hassan II Casablanca (MA)
Openalex Percentile: Top 20%
Photovoltaic System Optimization Techniques
1.43
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Optimizing solar energy efficiency with an improved hill-climbing maximum power point tracking control approach: hardware implementation — Elmostafa Chetouani, Hamza Mokhliss, et al. · Clean Energy (2024) | TGRS Research Map | TGRS