DocumentCode :
3245611
Title :
Input filtering of MPPT control by exponential moving average in photovoltaic system
Author :
Tajiri, H. ; Kumano, Tatsuo
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
fYear :
2012
fDate :
2-5 Dec. 2012
Firstpage :
372
Lastpage :
377
Abstract :
This paper studies MPPT (Maximum Power Point Tracking) control performance in the existence of noise, paying special attention to the output degradation problem of photovoltaic (PV) system. So called Perturb and Observe (P&O) method is chosen among many MPPT methods. In particular, exponential moving average (EMA) is used as a preprocessing filter, which is a data averaging technique, and its effect on the output power is discussed. Varying the illumination scenario, the DC output from the chopper is carefully studied by numerical simulation. It is confirmed that the degradation in output power decreases when the proposed method is used.
Keywords :
maximum power point trackers; photovoltaic power systems; power generation control; EMA; MPPT control performance; P&O method; PV system; data averaging technique; exponential moving average; maximum power point tracking; numerical simulation; perturb-observe method; photovoltaic system; preprocessing filter; Choppers (circuits); Conferences; Integrated circuit modeling; Maximum power point tracking; Noise; Numerical simulation; Exponential moving average; Maximum Power Point Tracking; Noise; Perturb and Observe; Photovoltaic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
Type :
conf
DOI :
10.1109/PECon.2012.6450240
Filename :
6450240
Link To Document :
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