Long-term operation optimization of integrated generation systems by fuzzy logic-based management

The aim of this paper is to implement a smart control strategy to improve the long-term energy performance of stand alone electric generation systems integrated by renewable energy systems (photovoltaic and wind energy conversion systems).

[1]  James A. Momoh,et al.  Overview and literature survey of fuzzy set theory in power systems , 1995 .

[2]  F. Valenciaga,et al.  Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy , 2005, IEEE Transactions on Energy Conversion.

[3]  Alfio Consoli,et al.  A logistical model for performance evaluations of hybrid generation systems , 1997 .

[4]  K.W.E. Cheng,et al.  The study of the energy management system based-on fuzzy control for distributed hybrid wind-solar power system , 2004, Proceedings. 2004 First International Conference on Power Electronics Systems and Applications, 2004..

[5]  F. Bonanno,et al.  Energy management optimization of integrated generation systems by fuzzy logic control , 1998, Proceedings of the 1998 IEEE International Conference on Control Applications (Cat. No.98CH36104).

[6]  Adel M. Sharaf,et al.  A rule-based fuzzy logic controller for a PWM inverter in a stand alone wind energy conversion scheme , 1993 .

[7]  Zhe Chen,et al.  A hybrid generation system using variable speed wind turbines and diesel units , 2003, IECON'03. 29th Annual Conference of the IEEE Industrial Electronics Society (IEEE Cat. No.03CH37468).