Title :
Adaptive P&O-fuzzy control MPPT for PV boost dc-dc converter
Author :
Mohd Zainuri, Muhammad ; Mohd Radzi, Mohd Amran ; Soh, Azura Che ; Rahim, N.A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
Abstract :
This paper proposes an adaptive perturb and observe (P&O)-fuzzy control maximum power point tracking (MPPT) for photovoltaic (PV) boost dc-dc converter. The proposed technique combines both advantages of P&O and fuzzy logic technique. P&O is known as very simple and widely used in the market and fuzzy is also simple and provides fast response. Combination of them should improve MPPT´s performance especially with existing of noise. For comparative evaluation, conventional P&O and conventional fuzzy logic have been developed. All the algorithms together with PV module of Kyocera KD210GH-2PU connected to PV boost dc-dc converter were simulated in MATLAB-Simulink respectively. Performance assessment covers overshoot, time response, oscillation and stability as described further in this paper.
Keywords :
adaptive control; fuzzy control; fuzzy logic; maximum power point trackers; stability; Kyocera KD210GH-2PU; MATLAB-Simulink; MPPT; adaptive P&O-fuzzy control; adaptive perturb and observe-fuzzy control; fuzzy logic; maximum power point tracking; oscillation; photovoltaic boost dc-dc converter; stability; time response; Algorithm design and analysis; Fuzzy logic; Maximum power point tracking; Noise; Oscillators; Temperature; Time factors; boost dc-dc converter; fuzzy logic; maximum power point tracking; perturb and observe; photovoltaic;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450270
