DocumentCode :
3222912
Title :
Intelligent Control and Application of All-Function Active Power Filter
Author :
Liu, Guiying ; Su, ShiPing ; Peng, Peng
Author_Institution :
Sch. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
1078
Lastpage :
1081
Abstract :
An all-function active power filter which can compensate harmonics inter-harmonics, asymmetries, fundamental sequence reactive powers and so on is introduced in this paper. Its basic concept and main features working process are illuminated briefly. To solve the difficulty problem of control for all-function active power filter, its intelligent control strategy and working process based on BP neural network are expounded. First, basic theory of BP neural network to control all-function active power is analyzed. Then, the basic configuration and working process of an all-function active power filter based on BP neural network control strategy is detailed. Finally, simulations and simulative results are given. Theory analysis and the simulative results show that the intelligent control strategy based on BP neural network can make all-function active power filter in possession of full function and predominant working characteristics.
Keywords :
active filters; adaptive control; backpropagation; compensation; neurocontrollers; nonlinear control systems; power harmonic filters; reactive power control; BP neural network; all-function active power filter; fundamental sequence reactive power; harmonics compensation; intelligent control; inter-harmonics; nonlinear process; Active filters; Artificial neural networks; Intelligent control; Multi-layer neural network; Network topology; Neural networks; Neurons; Power harmonic filters; Power system harmonics; Pulse width modulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.439
Filename :
4659657
Link To Document :
بازگشت