期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2018
卷号：96
期号：17
出版社：Journal of Theoretical and Applied
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.
