Control and optimization of fuzzy based maximum power point tracking in solar photovoltaic system

Chin, C. S. and Neelakantan, Prabhakaran and Yoong, Hou Pin and Teo, Kenneth Tze Kin (2010) Control and optimization of fuzzy based maximum power point tracking in solar photovoltaic system. In: 4th Global Conference on Power Control and Optimization (PCO'20, 2-4 December 2010, Sarawak, Malaysia.

Full text not available from this repository.


Solar photovoltaic (PV) electrification is an important renewable energy source. The electric which is converted directly from solar irradiation via PV panel is not steady due to different solar intensity. To maximize the PV panel output power, perturb and observe (P&O) maximum power point tracking (MPPT) has been implemented into PV system. Through a buck-boost DC-DC converter, MPPT is able to vary the PV operating voltage and search for the maximum power that the PV panel can produce. The implementation of fuzzy logic has been proposed in this paper. Based on the input change of power and input change of power with respect to change of voltage, fuzzy can determine the size of perturbed voltage and facilitate in maximum power tracking faster and minimize the voltage variation after the maximum power point has been identified. Simulation results show that the performance of fuzzy based MPPT is better than conventional P&O MPPT.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Photovoltaic, MPPT, Fuzzy logic, Perturb & observe
Subjects: Q Science > QA Mathematics
T Technology > TD Environmental technology. Sanitary engineering
Divisions: SCHOOL > School of Engineering and Information Technology
Depositing User: Unnamed user with email
Date Deposited: 20 Jul 2012 08:45
Last Modified: 30 Dec 2014 01:33

Actions (login required)

View Item View Item

Browse Repository
   UMS News
Quick Search

   Latest Repository

Link to other Malaysia University Institutional Repository

Malaysia University Institutional Repository