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

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3 Author(s)
Tey, L.H. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; So, P.L. ; Chu, Y.C.

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.

Published in:

Transmission and Distribution Conference and Exhibition 2002: Asia Pacific. IEEE/PES  (Volume:2 )

Date of Conference:

6-10 Oct. 2002