Title :
On-line power system harmonics monitoring using an intelligent method based on neural network
Author :
Ebrahimi, R. Valipour ; Farahani, H. Feshki ; Rezaei, Sh
Author_Institution :
Islamic Azad Univ., Ashtian
Abstract :
In this paper we present an approach for the real time estimation of harmonic components of a periodic signal based on intelligent neural network. Online computation, learning ability and synchronize monitoring of phase and amplitude of each harmonic are some advantages of this method. To reach to this aim, we have implemented a program using intelligent neural network in MATLAB. A voltage (current) waveform generated by software or captured by data logger or A/D converter, imported to the program, then the program evaluates and monitors online amplitude and phase of each harmonic. We compared this method with Kalman filters. By using of experimental results, the Kalman filter method is compared with Furrier linear combine (FLC).
Keywords :
computerised monitoring; mathematics computing; neural nets; power engineering computing; power system harmonics; real-time systems; Kalman filters; data logger; intelligent method; learning ability; neural network; on-line power system harmonics monitoring; real time estimation; waveform generation; Fast Fourier transforms; Frequency estimation; Intelligent networks; MATLAB; Monitoring; Neural networks; Power harmonic filters; Power quality; Power system harmonics; Voltage; Fourier Linear Combiner; Harmonic Estimation; Kalman Filter and Neural Network;
Conference_Titel :
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location :
Brighton
Print_ISBN :
978-1-905593-36-1
Electronic_ISBN :
978-1-905593-34-7
DOI :
10.1109/UPEC.2007.4469005
