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Artificial bee colony based algorithm for maximum power pointtracking (MPPT) for PV systems operating under partial shaded conditions
Benyoucef, Abou soufyane; Chouder, Aissa; Kara, Kamel; Silvestre Bergés, Santiago; Shaed, Oussama Ait
Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica; Universitat Politècnica de Catalunya. MNT - Grup de Recerca en Micro i Nanotecnologies
Artificial bee colony (ABC) algorithm has several characteristics that make it more attractive than other bio-inspired methods. Particularly, it is simple, it uses fewer control parameters and its convergence is independent of the initial conditions. In this paper, a novel artificial bee colony based maximum power point tracking algorithm (MPPT) is proposed. The developed algorithm, does not allow only overcoming the common drawback of the conventional MPPT methods, but it gives a simple and a robust MPPT scheme. A co-simulation methodology, combining Matlab/Simulink™ and Cadence/Pspice™, is used to verify the effectiveness of the proposed method and compare its performance, under dynamic weather conditions, with that of the Particle Swarm Optimization (PSO) based MPPT algorithm. Moreover, a laboratory setup has been realized and used to experimentally validate the proposed ABC-based MPPT algorithm. Simulation and experimental results have shown the satisfactory performance of the proposed approach.
Peer Reviewed
Àrees temàtiques de la UPC::Energies::Energia solar fotovoltaica::Centrals solars fotovoltaiques
Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Modelització matemàtica
Photovoltaic power generation
Mathematical optimization
Maximum power point tracking
Photovoltaic systems
Partially shaded conditions
Artificial bee colony algorithm
Co-simulation Simulink/Pspice
DSP implementation
Energia solar fotovoltaica
Optimització matemàtica

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