Improvement of photovoltaic systems with tracking of the maximum power point in low-irradiation atmospheric conditions
Dieudonné Marcel Djanssou (1*), Dadjé Abdouramani (2), Fabrice Kwefeu Mbakop (3), Noël Djongyang (4) (1) Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon - Cameroon
(2) School of Geology and Mining Engineering, University of Ngaoundéré, Ngaoundéré, Cameroon. - Cameroon
(3) Department of Renewable Energy and Energy Performance, Higher Institute of Agriculture, Forestry, Water and Environment, University of Ebolowa, Ebolowa, Cameroon - Cameroon
(4) Department of Renewable Energy, National Advanced School of Engineering of Maroua, University of Maroua, Cameroon - Cameroon
(*) Corresponding Author
Received: March 17, 2023; Revised: September 14, 2023
Accepted: November 06, 2023; Published: December 31, 2023
Abstract
This paper discusses the efficient use of photovoltaic energy in areas with low solar irradiation. To extract the maximum power at low irradiation, we used a maximum power point tracking (MPPT) algorithm based on the combination of fuzzy logic (FL) and the sliding mode (SM) associated with a Proportionnel-Intégral (PI) regulator. The system parameters are calculated using the particle swarm optimization (PSO) technique, which thus ensures the stability of the controller. The performance of the proposed technique is compared with the conventional perturb and observe (P&O) technique in terms of tracking time and tracking efficiency at low irradiation. The simulation results prove that the technique has high tracking efficiency and less convergence time under low irradiation, with fewer power oscillations, low ripple and no overshoot.
http://dx.doi.org/10.55981/jet.544 Keywords
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