Grid-Connected Bulk Wind Energy System Installing Neural- Controlled Switched Reluctance Generators

Document Type : Original Article

Authors

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