Title :
Measuring Method of Harmonics in Power System Based on Wavelet Neural Network
Author :
Wang Zhen ; Li Yi-hua
Author_Institution :
Changsha Univ. of Sci. & Technol., Changsha, China
Abstract :
According to the characteristics of harmonics in power system, formation method of training samples is researched. Based on the principle of harmonic measuring equipment, which is the type of parallel filtering, a new measuring method of harmonics based on wavelet neural network is proposed. The wavelet neural network is optimized by improving scale factor and displacement factor of wavelet basis function, adaptive learning rate to increase convergence rate and measuring accuracy of network. The measuring method proposed has been simulated by program, simulation result shows the feasibility and validity.
Keywords :
neural nets; power engineering computing; power system harmonics; power system measurement; wavelet transforms; adaptive learning rate; power system harmonics measuring method; wavelet basis function; wavelet neural network; Automation; Continuous wavelet transforms; Mechatronics; Neural networks; Power harmonic filters; Power measurement; Power system harmonics; Power system measurements; Wavelet domain; Wavelet transforms; Adaptive Learning Rate; Optimization of Scale Factor and Displacement Factor; Wavelet Neural Network (WNN);
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.575
