Application of Particle Swarm Optimization for MPPT in Photovoltaic System

Thom Thi Hoang

Abstract


In this paper, a new differential particle swarm optimization (MPSO) method is investigated for maximum power point tracking (MPPT) for the photovoltaic (PV) system in order to enhance the operating efficiency of the PV system. The MPSO-based MPPT method is not only able to tract the MPP using few iterations, but also avoids the steady-state oscillation phenomenon. Moreover, the proposed method is capable for extracting the optimization power under varying temperature condition as well as large fluctuations of irradiation. To demonstrate the effectiveness of the proposed, the obtained results are compared to those obtained using the conventional perturb and observation (P&O), incremental conductance (IncCond), and classical particle swarm optimization (PSO). Furthermore, a boost converter supplied by a solar array simulator is done to check the stability of the circuit. Meanwhile, the MPSO-MPPT algorithm is embedded in the PV system simulated by using Simulink software and MATLAB Toolbox. The simulating results show the superiority of the proposed approach in improving the efficiency of the photovoltaic system

In this paper, a new differential particle swarm optimization (MPSO) method is investigated for maximum power point tracking (MPPT) for the photovoltaic (PV) system in order to enhance the operating efficiency of the PV system. The MPSO-based MPPT method is not only able to tract the MPP using few iterations, but also avoids the steady-state oscillation phenomenon. Moreover, the proposed method is capable for extracting the optimization power under varying temperature condition as well as large fluctuations of irradiation. To demonstrate the effectiveness of the proposed, the obtained results are compared to those obtained using the conventional perturb and observation (P&O), incremental conductance (IncCond), and classical particle swarm optimization (PSO). Furthermore, a boost converter supplied by a solar array simulator is done to check the stability of the circuit. Meanwhile, the MPSO-MPPT algorithm is embedded in the PV system simulated by using Simulink software and MATLAB Toolbox. The simulating results show the superiority of the proposed approach in improving the efficiency of the photovoltaic system.


Keywords


maximum power point tracking; incremental conductance; particle swarm optimization; photovoltaic system

References


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DOI: http://doi.org/10.11591/ijeecs.v19.i2.pp%25p
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