Title :
Adaptive neural network based harmonic current compensation in active power filter
Author :
Rukonuzzaman, M. ; Nakaoka, Mutsuo
Author_Institution :
Power Electron. Syst. & Control Lab., Yamaguchi Univ., Japan
Abstract :
An advanced active power filter for the compensation of instantaneous harmonic current components in non-linear current load is presented. A signal processing technique using an adaptive neural network algorithm is applied for the detection of harmonic components generated by nonlinear current loads and can efficiently determine the instantaneous harmonic components in real time. The control strategy of the switching signals to compensate the current harmonic of the inverter is also discussed and the switching signals are generated with the space voltage vector modulation scheme. The validity of this active filtering processing system to compensate current harmonics is proved on the basis of simulation results
Keywords :
active filters; compensation; electric current control; invertors; neural nets; power harmonic filters; power system harmonics; signal processing; voltage control; active power filter; adaptive neural network based harmonic current compensation; instantaneous harmonic components; instantaneous harmonic current components; inverter; nonlinear current load; signal processing technique; space voltage vector modulation scheme; switching signals; Active filters; Adaptive signal detection; Adaptive signal processing; Adaptive systems; Neural networks; Power harmonic filters; Power system harmonics; Signal generators; Signal processing algorithms; Voltage control;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.938522
