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Energies 2017, 10(12), 2036; https://doi.org/10.3390/en10122036

Fuzzy Logic Based MPPT Controller for a PV System

Facultad de Ingeniería, Universidad del Magdalena, Carrera 32 No. 22-08, 470004 Santa Marta, Colombia
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Received: 19 October 2017 / Revised: 16 November 2017 / Accepted: 22 November 2017 / Published: 2 December 2017
(This article belongs to the Special Issue PV System Design and Performance)
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Abstract

The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature; therefore, it is necessary to implement maximum power point tracking controllers (MPPT) to obtain the maximum power of a PV system regardless of variations in climatic conditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O) algorithm, which presents oscillation problems around the operating point; the reason why improving the results obtained with this algorithm has become an important goal to reach for researchers. This paper presents the design and modeling of a fuzzy controller for tracking the maximum power point of a PV System. Matlab/Simulink (MathWorks, Natick, MA, USA) was used for the modeling of the components of a 65 W PV system: PV module, buck converter and fuzzy controller; highlighting as main novelty the use of a mathematical model for the PV module, which, unlike diode based models, only needs to calculate the curve fitting parameter. A P&O controller to compare the results obtained with the fuzzy control was designed. The simulation results demonstrated the superiority of the fuzzy controller in terms of settling time, power loss and oscillations at the operating point. View Full-Text
Keywords: fuzzy logic controller; maximum power point tracking (MPPT); dc-dc converter; photovoltaic system fuzzy logic controller; maximum power point tracking (MPPT); dc-dc converter; photovoltaic system
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Robles Algarín, C.; Taborda Giraldo, J.; Rodríguez Álvarez, O. Fuzzy Logic Based MPPT Controller for a PV System. Energies 2017, 10, 2036.

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