Title :
Harmonic and reactive power compensation with artificial neural network technology
Author :
Dai Yongtao ; Dai Wenjin
Author_Institution :
Dept. of Electr. & Autom. Eng., Nanchang Univ., Nanchang
Abstract :
This paper presents a new method for harmonic and reactive power compensation with an artificial neural network (ANN) controller and a new control algorithm for active power filter (APF) to eliminate harmonics and compensate the reactive power of a three-phase thyristor bridge rectifier. The artificial neural network (ANN) current controller is adapted to active power filter (APF) and the current controller based on modified hysteresis current controller is used to generate the firing pulses. All of the studies have been carried out using the detail digital dynamic simulation with the MATLAB Simulink Power System Toolbox. The results of simulation study of new APF control technique and algorithm presented in this paper are found quite satisfactory to eliminate harmonics and reactive power components from utility current.
Keywords :
active filters; electric current control; neurocontrollers; power filters; reactive power control; rectifiers; MATLAB Simulink Power System Toolbox; active power filter; artificial neural network controller technology; harmonic power compensation; modified hysteresis current controller; reactive power compensation; three-phase thyristor bridge rectifier; Active filters; Artificial neural networks; Power harmonic filters; Power system dynamics; Power system harmonics; Power system simulation; Pulse power systems; Reactive power; Reactive power control; Thyristors; Active power filter; Artificial neural network (ANN); Harmonic current compensation; Reactive power;
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4594351