Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/13113
Title: A novel MPPT algorithm based on particle swarm optimization for photovoltaic systems
Authors: Koad, RBA
Zobaa, AF
El-Shahat, A
Keywords: Photovoltaic (PV) systems;Maximum power point tracking (MPPT);Perturb and Observe (P&O) Method;Incremental Conductance (IncCond);OPAL-RT;Particle swarm optimization (PSO);Partial shading conditions (PSC)
Issue Date: 2016
Citation: IEEE Transactions on Sustainable Energy, PP(99): (2016)
Abstract: In this paper a new maximum-power-point-tracking (MPPT) method for the photovoltaic (PV) system using an improved particle swarm optimization (PSO) algorithm is proposed. The proposed control scheme eliminates the problems in the conventional methods as it uses only a simple numerical calculation to initialize the particles around the global maximum power point (GMPP). Hence, the PSO will utilize less iteration to reach the MPP. The proposed algorithm is verified by using MATLAB SIMULINK tool, several simulations being carried out, and compared to Perturb and Observe (P&O) Method, Incremental Conductance (IncCond) Method, and conventional Practical Swarm Optimization based MPPT Algorithm. The simulation results indicate that the proposed algorithm can effectively enhance stability and fast tracking capability even under rapidly changing atmospheric conditions.
Description: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works
URI: http://bura.brunel.ac.uk/handle/2438/13113
DOI: http://dx.doi.org/10.1109/TSTE.2016.2606421
ISSN: 1949-3037
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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