Abstract：The widespread application of power-electronic loads has led to increasing harmonic pollution in power system. Harmonic detection is considered the most crucial part for preventing the influence of harmonic. In this paper, an effective procedure based on radial basis function neural network has been proposed to detect the amplitude and phase of harmonic. By comparing with BP neural network by using Matlab simulation, it is shown that the presented solution has more accurate and less training time, so it could be applied in power system harmonic detection.
肖建平, 李生虎, 吴可汗, 何怡刚. 一种新的基于神经网络的电力系统谐波检测方法研究[J]. 电工技术学报, 2013, 28(2增): 345-348.
Xiao Jianping, Li Shenghu, Wu Kehan, He Yigang. A Novel Approach of Harmonic Detection in Power System Based on Neural Network. Transactions of China Electrotechnical Society, 2013, 28(2增): 345-348.
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2013, Vol. 28 
