Maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic system

Nopporn Patcharaprakiti, Suttichai Premrudeepreechacharn and Yosanai Sriuthaisiriwong

Renewable Energy, 2005, vol. 30, issue 11, 1771-1788

Abstract: This paper proposes a method of maximum power point tracking using adaptive fuzzy logic control for grid-connected photovoltaic systems. The system is composed of a boost converter and a single-phase inverter connected to a utility grid. The maximum power point tracking control is based on adaptive fuzzy logic to control a switch of a boost converter. Adaptive fuzzy logic controllers provide attractive features such as fast response, good performance. In addition, adaptive fuzzy logic controllers can also change the fuzzy parameter for improving the control system. The single phase inverter uses predictive current control which provides current with sinusoidal waveform. Therefore, the system is able to deliver energy with low harmonics and high power factor. Both conventional fuzzy logic controller and adaptive fuzzy logic controller are simulated and implemented to evaluate performance. Simulation and experimental results are provided for both controllers under the same atmospheric condition. From the simulation and experimental results, the adaptive fuzzy logic controller can deliver more power than the conventional fuzzy logic controller.

Keywords: Adaptive fuzzy logic control; Maximum power point tracking; Photovoltaic system (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:30:y:2005:i:11:p:1771-1788

DOI: 10.1016/j.renene.2004.11.018

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