DocumentCode :
2159145
Title :
Design of dIstributed Active Filters using neural network for the enhancement of power quality
Author :
Bangia, S. ; Sharma, P.R. ; Garg, Mayank
Author_Institution :
Dept. of Electr. Eng., YMCA Univ. of Sci. & Technol., Faridabad, India
fYear :
2013
fDate :
22-23 Feb. 2013
Firstpage :
626
Lastpage :
630
Abstract :
This papers deals with the implementation of neural network controlled Distributed Active Filters. Distributed Active Filters introduces the concept of installing multiple active filters at different locations. Shunt active filters consists of three phase VSI and an energy source connected at DC side. Synchronous Reference Frame theory is employed for enhancement of power quality. A comparison and analysis of harmonic content of source current is done by using PI controller and Neural Network control. The new concept of proposed Distributed Active Filters are simulated using MATLAB power system Toolbox.
Keywords :
PI control; active filters; neurocontrollers; power harmonic filters; DC side; Matlab power system toolbox; PI controller; energy source; neural network controlled distributed active filter design; power quality enhancement; shunt active filters; source current harmonic content; synchronous reference frame theory; three-phase VSI; Active filters; Capacitors; Harmonic analysis; Neural networks; Power harmonic filters; Voltage control; Artificial intelligence; Distributed Shunt active filter; Neural network; Power quality; Total Harmonic Deduction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advance Computing Conference (IACC), 2013 IEEE 3rd International
Conference_Location :
Ghaziabad
Print_ISBN :
978-1-4673-4527-9
Type :
conf
DOI :
10.1109/IAdCC.2013.6514299
Filename :
6514299
Link To Document :
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