Title :
The Optimal Design of Parallel Active Power Filter
Author :
Jianhong, Yao ; Jicheng, Liu
Author_Institution :
Sch. of Electr. & Inf. Eng., DaQing Pet. Inst., DaQing, China
Abstract :
Parallel active power filter (APF) is a new type of power electronic device which is used to suppress harmonic and compensate reactive power. The traditional active power filter has bad harmonic current detection accuracy and real-time in the detection circuit and slow current tracking speed in control circuit. Owing to these shortcomings, we put forward an improved ip, iq harmonic detection method, in which traditional Butterworth low-pass filter was replaced by the least mean square (LMS) adaptive filter; In the control circuit, a control method of active power filter which based on artificial neural network is proposed. Establishing simulating models of main circuit and control circuit, and the simulation results prove that improved parallel active power filter has high detect precision and good harmonic suppression effect.
Keywords :
active filters; adaptive filters; least mean squares methods; neural nets; power harmonic filters; reactive power; adaptive filter; artificial neural network; harmonic current detection accuracy; harmonic detection; harmonic suppression; least mean square; optimal design; parallel active power filter; power electronic device; reactive power compensation; Active filters; Adaptive filters; Artificial neural networks; Circuit simulation; Least squares approximation; Low pass filters; Power electronics; Power harmonic filters; Power system harmonics; Reactive power; Active Power Filter; Harmonic compensation; Instantaneous reactive power theory; neural network;
Conference_Titel :
Intelligent Computation Technology and Automation, 2009. ICICTA '09. Second International Conference on
Conference_Location :
Changsha, Hunan
Print_ISBN :
978-0-7695-3804-4
DOI :
10.1109/ICICTA.2009.493