Title :
Fuzzy Cognitive Networks + Fuzzy Controller as a self adapting control system for Tracking Maximum Power Point of a PV-Array
Author :
Boutalis, Yiannis S. ; Karlis, Athanassios D. ; Kottas, Theodoros L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi
Abstract :
In this paper the advantage of a new method is proposed, capable of extracting maximum power from photovoltaic (PV) arrays, by using a fuzzy cognitive network (FCN), which is in close cooperation with a fuzzy controller. The advantage of the presented method is that the control system can adapt to different changes that might happen during the life cycle of the PV module, such as a destroyed cell of the PV array
Keywords :
adaptive control; cognitive systems; fuzzy control; photovoltaic power systems; power generation control; self-adjusting systems; fuzzy cognitive networks; fuzzy controller; maximum power point tracking; photovoltaic arrays; self adapting control system; Adaptive arrays; Automatic control; Control systems; Fuzzy control; Fuzzy set theory; Fuzzy systems; Photovoltaic systems; Solar power generation; Solar radiation; Temperature measurement;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347483
