Neural network-controlled unified power quality conditioner for system harmonics compensation

Author

Tey, L.H. ; So, P.L. ; Chu, Y.C.

Author_Institution

Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore

Volume

2

fYear

2002

fDate

6-10 Oct. 2002

Firstpage

1038

Abstract

This paper presents the design of artificial neural network (ANN)-controlled unified power quality conditioner (UPQC) for harmonics compensation in a low-voltage AC system. Simple time-domain extraction technique is used to determine the harmonic components present in the load current and source voltage. The topology is based on two 3-phase pulse width modulated (PWM) voltage source inverters (VSIs). The control of these inverters is carried out using Levenberg-Marquardt backpropagation (LMBP) ANN techniques. The simulation results show that the ANN-controlled UPQC can significantly reduce harmonic distortion in the supply system.

Keywords

PWM invertors; backpropagation; harmonics suppression; neurocontrollers; power supply quality; power system control; power system harmonics; time-domain analysis; 3-phase pulse width modulated voltage source inverters; Levenberg-Marquardt backpropagation; PWM VSI; harmonic components; harmonic distortion reduction; harmonics compensation; load current; low-voltage AC system; neural network-controlled unified power quality conditioner; source voltage; system harmonics compensation; time-domain extraction technique; unified power quality conditioner; Artificial neural networks; Backpropagation; Network topology; Neural networks; Power quality; Power system harmonics; Pulse inverters; Pulse width modulation inverters; Time domain analysis; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES

Print_ISBN

0-7803-7525-4

Type

conf

DOI

10.1109/TDC.2002.1177620

Filename

1177620