학술논문
Fuzzy Logic Controller Based Maximum Power Point Tracking and its Optimal Tuning in Photovoltaic Systems.
Document Type
Article
Author
Source
Subject
*PHOTOVOLTAIC power systems
*MEMBERSHIP functions (Fuzzy logic)
*DC-to-DC converters
*FUZZY logic
*LEAD-acid batteries
*MATHEMATICAL optimization
*PARTICLE swarm optimization
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Language
ISSN
1451-4869
Abstract
Conventionally, the parameters of a fuzzy logic controller (FLC) are obtained by a trial and error method or by human experience. In this paper, the problem of designing a FLC for maximum power point tracking (MPPT) of a photovoltaic system (PV) that consists of a PV generator, a DC-DC boost converter and a lead-acid battery is studied. The normalization gains, the membership functions and the fuzzy rules are automatically adjusted using a particles swarm optimization algorithm (PSO) in order to maximize the criterion based on the integration of the PV module power under standard temperature condition (STC) (T=25°C and S=1000 W/m²). The robustness test of the optimized fuzzy logic MPPT controller (FLC-MPPT) is carried out under different scenarios. Simulation results of the system clearly show that the proposed optimized FLCMPPT controller outperforms in terms of maximum efficiency the FLC-MPPT controller not optimized, the FLC-MPPT controller with optimized normalization gains and the FLC-MPPT controller with optimized normalization gains and membership functions. [ABSTRACT FROM AUTHOR]