Optimization of Scaling Factors of Fuzzy–MPPT Controller for Stand-alone Photovoltaic System by Particle Swarm Optimization

In this paper, we present a novel fuzzy logic controller, for tracking the maximum power point of boost-based PV system. The fuzzy logic controller is used to improve its dynamic response with sudden irradiations and temperature conditions. This paper deals with the optimal adjustment of scaling fac...

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Bibliographic Details
Published in:Energy procedia 2017-03, Vol.111, p.954-963
Main Authors: Jouda, Arfaoui, Elyes, Feki, Rabhi, Abdelhamid, Abdelkader, Mami
Format: Article
Language:English
Subjects:
DC-DC Boost converter
Engineering Sciences
Fuzzy logic control (FLC)
MATLAB/Simulink
Maximum power point tracking(MPPT)
Particle Swarm Optimization (PSO)
Photovoltaic (PV)
Scaling Factors
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Summary:In this paper, we present a novel fuzzy logic controller, for tracking the maximum power point of boost-based PV system. The fuzzy logic controller is used to improve its dynamic response with sudden irradiations and temperature conditions. This paper deals with the optimal adjustment of scaling factors for fuzzy controllers, these parameters affects the controller performance in term of speed, accuracy and stability. Hence, scaling factors are optimized by using Particle Swarm Optimization algorithm. Numerical simulations are carried out to highlight the tracking control performance of the fuzzy-MPPT using PSO algorithm for tuning the scaling factors. Then the optimized FLC is applied to DC-DC Boost converter. This paper provides reliable information on the performance of the optimized fuzzy-MPPT strategy which can be used by system designers to improve the overall efficiency and reduce the cost of PV system application.
ISSN:1876-6102
1876-6102
DOI:10.1016/j.egypro.2017.03.258