DocumentCode :
605419
Title :
Comparison of artificial intelligence techniques for the enhancement of power quality
Author :
Bangia, S. ; Sharma, P.R. ; Garg, Mayank
Author_Institution :
Eng. Dept., YMCA Univ. of Sci. & Technol., Faridabad, India
fYear :
2013
fDate :
6-8 Feb. 2013
Firstpage :
537
Lastpage :
541
Abstract :
Artificial Intelligence techniques are the recent trends used for the enhancement of power quality. This paper deals with analysis and comparison of different artificial techniques for harmonic reduction in the source current. Artificial Intelligence may include Fuzzy logic and Artificial Neural Network. The purpose of the simulation is to enhance the power quality by using the concepts that cannot be expressed as "true" or "false" but rather as "partially true" called as Fuzzy logic and intelligent features of the neuron cell. Shunt Active Filter is one of the controller that can be used for suppress the source current harmonics and compensates the reactive power. Hysteresis current controller is used to control the switching of Voltage Source Inverter. The D-Q Frame theory is used to generate the reference compensating current. Simulations are carried out in MATLAB environment using power system toolbox.
Keywords :
artificial intelligence; control engineering computing; digital simulation; electric current control; fuzzy control; harmonic distortion; invertors; neurocontrollers; power engineering computing; power supply quality; reactive power control; voltage control; D-Q frame theory; Matlab environment; artificial intelligence techniques; artificial neural network; fuzzy logic; hysteresis current controller; neuron cell; power quality enhancement; power system toolbox; reactive power compensation; source current harmonic suppression; voltage source inverter switching control; Active filters; Capacitors; Harmonic analysis; Power harmonic filters; Reactive power; Voltage control; Artificial intelligence; Fuzzy logic; Neural network; Power quality Total Harmonic Deduction; Shunt active filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power, Energy and Control (ICPEC), 2013 International Conference on
Conference_Location :
Sri Rangalatchum Dindigul
Print_ISBN :
978-1-4673-6027-2
Type :
conf
DOI :
10.1109/ICPEC.2013.6527715
Filename :
6527715
Link To Document :
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