Grid-Connected Bulk Wind Energy System Installing Neural- Controlled Switched Reluctance Generators | ||||
| ERJ. Engineering Research Journal | ||||
| Article 13, Volume 24, Issue 4, October 2001, Page 201-215 PDF (487.72 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2001.71142 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Amal Mohamed; Fadia M. A. Ghali; Khaled S. Sakkoury | ||||
| Electronics Research Institute, Cairo, Egypt | ||||
| Abstract | ||||
| The paper presents modeling and simulation of the wind energy conversion system (WECS) that consists of variable speed wind turbine, switched reluctance generator (SRG), inverter system and neural network (NN) controller. The wind park system under study consists of a number of WECS's operating as utility connected. The input mechanical power fluctuations, induced by operating wind turbines at slightly disturbed wind velocity, lead to inject variable electrical power into the grid. The NN controller is acting on the SRG to assure feeding constant electrical power to the grid at each point of mechanical power fluctuation and each corresponding wind velocity. This objective is achieved by adjusting the onloff switching angles of the SRG power converter. Simulation results are presented to show the main characteristics of the SRG and verification of the proposed WECS control system | ||||
| Keywords | ||||
| Wind Energy Conversion System; Switched Reluctance Machine; Neuro -Controller | ||||
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