ARTIFICIAL NEURAL NETWORK BASED UNIFIED POWER QUALITY CONDITIONER FOR POWER QUALITY IMPROVEMENTS OF DOUBLY FED INDUCTION GENERATOR

摘要

To reduce the mathematical operations and different transformations, the artificial neural network (ANN) approach is proposed for the unified power quality conditioner (UPQC). This paper proposes a voltage source inverter (VSI) based UPQC with ANN controller when a Doubly Fed Induction Generator (DFIG) is connected to the grid. The performance of UPQC with ANN controller is tested under different sag, harmonic and swell conditions, the algorithm used for the ANN control is Gradient Descent with Momentum to generate the referencing signals and maintain the UPQC dc link capacitor voltage. The simulations are carried out in the software Matlab/Simulink. Results shows efficiency of the ANN control strategy in compensating currents and voltages of the system.