Modelling and simulation of boost converter with maximum power point tracking (MPPT) for photovoltaic application

This paper presents the proposed model and simulation of a DC to DC converter with maximum power point tracking (MPPT) using fuzzy logic controller (FLC) for a standalone Photovoltaic (PV) System. This research will focus on the developing high performance DC to DC converter with fuzzy logic control...

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Bibliographic Details
Main Authors: Mat Su, Ahmad Shaharuddin, Abdul Ghani, Rasli, Slamet, Slamet
Format: Article
Language:English
Published: Penerbit UTM 2014
Subjects:
Online Access:http://eprints.utm.my/id/eprint/54154/1/AhmadShaharuddinMat2014_Modellingandsimulationofboost.pdf
http://eprints.utm.my/id/eprint/54154/
http://dx.doi.org/10.11113/jt.v71.3842
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Institution: Universiti Teknologi Malaysia
Language: English
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Summary:This paper presents the proposed model and simulation of a DC to DC converter with maximum power point tracking (MPPT) using fuzzy logic controller (FLC) for a standalone Photovoltaic (PV) System. This research will focus on the developing high performance DC to DC converter with fuzzy logic controller based to extract the maximum power that generated by the PV panel. The system composed of the PV array and DC-DC boost converter with MPPT system. The maximum power point tracking control is based on adaptive fuzzy logic to control ON/OFF time of IGBT switch of DC-DC boost converter. The proposed DC to DC converter is designed by using the Multisim software while the controller programme will be carried out by using the Matlab Simulink software. Pulse width modulation will be generated by the controller to trigger the IGBT gate. The performance of the proposed model is evaluated by the simulation and the result show that our proposed converter can convert more power from generated voltage. By using the fuzzy logic method to track the maximum power of the PV array, it is faster and the voltage is stable