Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm | Zendy

Hasan Mahamudul | Zendy; Saad Mekhilef | Zendy; Metselaar Ibrahim Henk | Zendy

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Photovoltaic System Modeling with Fuzzy Logic Based Maximum Power Point Tracking Algorithm

Author(s) -

Hasan Mahamudul,

Saad Mekhilef,

Metselaar Ibrahim Henk

Publication year - 2013

Publication title -

international journal of photoenergy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.426

H-Index - 51

eISSN - 1687-529X

pISSN - 1110-662X

DOI - 10.1155/2013/762946

Subject(s) - maximum power point tracking , photovoltaic system , duty cycle , maximum power principle , fuzzy logic , computer science , boost converter , power (physics) , control theory (sociology) , algorithm , point (geometry) , control (management) , mathematics , engineering , artificial intelligence , inverter , electrical engineering , geometry , quantum mechanics , physics

This paper represents a novel modeling technique of PV module with a fuzzy logic based MPPT algorithm and boost converter in Simulink environment. The prime contributions of this work are simplification of PV modeling technique and implementation of fuzzy based MPPT system to track maximum power efficiently. The main highlighted points of this paper are to demonstrate the precise control of the duty cycle with respect to various atmospheric conditions, illustration of PV characteristic curves, and operation analysis of the converter. The proposed system has been applied for three different PV modules SOLKAR 36 W, BP MSX 60 W, and KC85T 87 W. Finally the resultant data has been compared with the theoretical prediction and company specified value to ensure the validity of the system.

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