Title :
Design of Artificial Neural Network-Based Virtual Power Meter
Author :
Chen, Cheng-I ; Chen, Yeong-Chin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Asia Univ., Taichung, Taiwan
Abstract :
An artificial neural network (ANN)-based method for the design of virtual power meter, which is able to evaluate the power quantities for the single-phase system, is introduced in this paper. The solution procedure contains two stages. In the first stage, the spectral analysis of voltage and current signals are performed separately with the ANN-based method in the real-time manner. Then, the power quantities and evaluation indices are calculated in the second stage. Finally, a PC-based virtual instrument implemented with Lab VIEW is developed to verify the usefulness of proposed mechanism.
Keywords :
neural nets; power engineering computing; power meters; spectral analysers; virtual instrumentation; ANN-based method; LabVIEW; PC-based virtual instrument; artificial neural network-based virtual power meter; power quantities; single-phase system; spectral current signal analysis; spectral voltage signal analysis; Artificial neural networks; Harmonic analysis; Instruments; Power measurement; Power system harmonics; Spectral analysis; Standards; artificial neural network; power quality; signle-phase system; virtual instrument;
Conference_Titel :
Computer, Consumer and Control (IS3C), 2012 International Symposium on
Conference_Location :
Taichung
Print_ISBN :
978-1-4673-0767-3
DOI :
10.1109/IS3C.2012.137
