سال انتشار: ۱۳۹۰

محل انتشار: چهارمین کنفرانس نیروگاههای برق

تعداد صفحات: ۱۰

نویسنده(ها):

Maziar Rezaei Rad – Kashan University/Electrical Engineering Department, Kashan, Iran
Mani Rezaei Rad – Mazandaran University/Electrical and Computer Engineering Department, Babol, Iran
Shahabeddin Akbari – Kashan University/Electrical Engineering Department, Kashan, Iran
Seyyed Abbas Taher – Kashan University/Electrical Engineering Department, Kashan, Iran

چکیده:

In this paper, an on-line method for maximum power point tracker using fuzzy set theory is presented to improve energy conversion efficiency. This method is proposed, by using a fuzzy cognitive network, which is in close cooperation with the presented fuzzy controller. The proposed approach is based on the combination of Particle Swarm Optimization (PSO) and Adaptive-Network-based Fuzzy Inference Systems (ANFIS) methods, and it is used for the determination of proper weight matrices that lead the Fuzzy Cognitive Map to desired steady states. The method gives a good maximum power operation of any PV. 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. All the analytical and simulation results of this research are presented.