DocumentCode :
2612518
Title :
A Novel ANN-based Adaptive Harmonic Current Detecting Method for Active Power Filters
Author :
Qing, Hu ; Qingding, Guo ; Dongmei, Yu ; Chunfang, Liu
Author_Institution :
Sch. of Electr. Eng., Shenyang Univ. of Technol.
fYear :
2005
fDate :
2005
Firstpage :
1
Lastpage :
5
Abstract :
Harmonic current detecting is a key to improving the harmonic current compensation effects of active power filter (APF). An adaptive harmonic currents detecting method based on ANN is presents in this paper. This method is brought forward via combining the adaptive noise canceling technology with artificial neural network (ANN), and an adaptive harmonic current detecting circuit, namely neuron is proposed in term of it. Not only its configuration is simple, but also its algorithm is easy to realize by analog hardware circuit. The simulation results show that the circuit not only is precise and fast, but also has well anti-jamming and adaptive characteristics. Moreover, the detection effects aren´t affected by power frequency excursion
Keywords :
active filters; harmonic distortion; neural nets; power harmonic filters; ANN-based adaptive harmonic current detecting method; APF; active power filter; adaptive noise canceling technology; analog hardware circuit; antijamming characteristics; artificial neural network; Active filters; Artificial neural networks; Circuit noise; Circuit simulation; Frequency; Hardware; Neurons; Noise cancellation; Power harmonic filters; Power system harmonics; Active power filter; adaptive noise canceling; artificial neural network; harmonic current detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transmission and Distribution Conference and Exhibition: Asia and Pacific, 2005 IEEE/PES
Conference_Location :
Dalian
Print_ISBN :
0-7803-9114-4
Type :
conf
DOI :
10.1109/TDC.2005.1546864
Filename :
1546864
Link To Document :
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