Oumlkheir BOUCHIBA, Tahar MERIZGUI*, Bachir GAOUI, Saliha CHETTIH, Ali CHEKNANE
LMSF Laboratory, Electrical Engineering Department, Laghouat 03000, Algeria
Abstract: This work proposes the hybrid renewable sources, for instance, the wind generator and the photovoltaic modules used to produce energy to recharge the solar battery storage system automatically. In addition, the proposed hybrid system could operate in a grid-attached or autonomous mode. The coordination control algorithms are compared with regard to fine power transfer between maximum power point tracking P&O (Perturbe and Observe) and IncCond (Incremeted Conductance). The performance of the wind turbine was analysed for different wind speed values. The efficiency of the solar photovoltaic system was tested for various irradiance levels. Hybrid renewable resources have been modeled and simulated using the Simulink in the MATLAB software. The simulation result indicates that the performance of the P & O algorithm is more satisfactory than that of the IncCond algorithm as regards the recharging of batteries in a hybrid system with guaranteed continuous product power. Therefore the authors strongly believe that the P&O method decreases the complete time for battery recharge compared to IncCond MPPT (Maximum Power Point Tracking) algorithm control.
Keywords: Perturb and Observe (P&O), Incremental Inductance (IncCond), Wind, Photovoltaic, Maximum power point tracker (MPPT).
CITE THIS PAPER AS:
Oumlkheir BOUCHIBA, Tahar MERIZGUI, Bachir GAOUI, Saliha CHETTIH, Ali CHEKNANE, Design and analysis of maximum power point tracking algorithms for PV/Wind hybrid system, Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 30(2), pp. 41-52, 2020. https://doi.org/10.33436/v30i2y202004