A Hybrid CSO-P&O based Global MPPT for PV Generators Working under Partial Shading Scenarios

Mounir Derri, Adil Mehdary, Touria Haidi, Yassine El Hafid, Badr Nasiri, Abderrahmane Janyene

Abstract


The present research introduces a hybrid approach for global maximum power point tracking (MPPT) in photovoltaic generators that operate under partial shading scenarios. The proposed strategy combines the cuckoo search optimisation (CSO) technique with the perturbation and observation (P&O) approach to achieve efficient and accurate power generation from the PV modules. By integrating the CSO and P&O, the MPPT system can effectively handle the challenges posed by PSCs. The P&O component provides intelligent decision-making capabilities to adaptively adjust the operating point, while the CSO algorithm facilitates the global search for global MPP. The performance of the hybrid CSO-P&O based GMPPT strategy is exanimated through Matlab/Simulink simulations and compared with particle search optimisation (PSO), cuckoo search optimisation (CSO) and grey wolf optimisation (GWO) based MPPT techniques. Furthermore, the suggested approach was validated on the Arduino Due board using the processor-in-loop (PIL) technique. The simulation and processor-in-loop results prove that the suggested approach is more powerful in terms of tracking precision, convergence speed, and efficiency under situations of partial shading.


Keywords


Photovoltaic energy; partial shading scenario; boost converter; cuckoo search algorithm; metaheuristic algorithms.

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DOI (PDF): https://doi.org/10.20508/ijrer.v15i2.14854.g9054

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