Measuring Method of Harmonics in Power System Based on Wavelet Neural Network
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.
Wavelet Neural Network (WNN) Optimization of Scale Factor and Displacement Factor Adaptive Learning Rate
Wang Zhen Li Yi-hua
Changsha University of Science & Technology Changsha,Hunan province,China
国际会议
长沙
英文
1584-1587
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）