DocumentCode :
3362604
Title :
Three-Phrase Active Power Filter Based on DSP for Power Distribution Systems
Author :
Wei, Ping ; Chen, Houquan ; Zhan, Zhixiong
Author_Institution :
Dept. of Inf. Eng., Nanchang Univ., Nanchang
fYear :
2009
fDate :
27-31 March 2009
Firstpage :
1
Lastpage :
5
Abstract :
With the use of nonlinear loads increasing rapidly, which inject undesired harmonic currents into power distribution systems, shunt active power filters (SAF) are being considered as a potential candidate for solving harmonic problems in order to meet harmonic standards and guidelines. This paper presents a new digital signal processor (DSP)-based control method for a three-phase shunt active power filter. Compared to conventional analog-based methods, the DSP-based solution provides a flexible and cheaper method to control the SAF. The proposed control method for determining the reference compensating currents of the three-phase shunt active power Alters based on artificial neural network (ANN) is presented. Finally, the simulation and experimental result also shows that both controller techniques can reduce harmonics in three-phase electric systems drawn by nonlinear loads and reduce hardware components.
Keywords :
active filters; digital signal processing chips; neurocontrollers; power distribution control; power harmonic filters; ANN; DSP-based control; artificial neural network; digital signal processor; harmonic current; nonlinear load; power distribution system; three-phase electric system; three-phrase shunt active power filter; Active filters; Artificial neural networks; Digital signal processing; Digital signal processors; Guidelines; Nonlinear control systems; Power distribution; Power harmonic filters; Power system harmonics; Process control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-2486-3
Electronic_ISBN :
978-1-4244-2487-0
Type :
conf
DOI :
10.1109/APPEEC.2009.4918934
Filename :
4918934
Link To Document :
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