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Artificial bee colony based algorithm for maximum power point tracking (MPPT) for PV systems operating under partial shaded conditions
Affiliation:1. SET Laboratory, Electronics Department, Blida 1 University, BP 270 Blida, Algeria;2. Electrical Engineering Department, Faculty of Technology, University of M''sila, BP 166 Ichbilia, Algeria;3. Electronic Engineering Department, Universitat Politècnica de Catalunya, C/ Jordi Girona 1-3, Campus Nord UPC, 08034 Barcelona, Spain;1. Department of Electrical and Electronics Engineering, National Institute of Technology, Tiruchirappalli 620015, India;2. Sudharsan Engineering College, Pudukkottai, Tamilnadu, India;1. Technical University of Cluj-Napoca, 26-28 St. G. Baritiu, 400027 Cluj-Napoca, Romania;2. Ecole Supérieure d''Electronique de l''Ouest – ESEO, 10 Bd. Jeanneteau, 49107 Angers, France
Abstract: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.
Keywords:Maximum power point tracking  Photovoltaic systems  Partially shaded conditions  Artificial bee colony algorithm  Co-simulation Simulink/Pspice  DSP implementation
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