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