Title :
Improvement of power quality using adaptive shunt active filter
Author :
Tey, L.H. ; So, P.L. ; Chu, Y.C.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
fDate :
4/1/2005 12:00:00 AM
Abstract :
Problems caused by power quality have great adverse economical impact on the utilities and customers. Current harmonics are one of the most common power quality problems and are usually resolved by the use of shunt passive or active filters. In this paper, a new control design using artificial neural networks is proposed to make the conventional shunt active filter adaptive. The proposed adaptive shunt active filter can compensate for harmonic currents, power factor and nonlinear load unbalance. A self-charging technique is also proposed to regulate the dc capacitor voltage at the desired level with the use of a PI controller. The design concept of the adaptive shunt active filter is verified through simulation studies and the results obtained are discussed.
Keywords :
active filters; adaptive filters; neural nets; power harmonic filters; power supply quality; power system analysis computing; power system harmonics; adaptive shunt active filter; artificial neural networks; control design; current harmonics; dc capacitor voltage; nonlinear load unbalance; power factor; power quality; power quality problems; selfcharging technique; Active filters; Adaptive control; Artificial neural networks; Control design; Power generation economics; Power harmonic filters; Power quality; Power system harmonics; Programmable control; Reactive power; Adaptive shunt active filter; artificial neural networks; power quality; self charging;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2004.838641