Abstract：Neural network has been widely used in harmonic detection with its advantages of little calculation and high precision. It can calculate each harmonic component only by single-step. However, to determine the weights of neural network requires a learning process. In order to overcome delay defect of the frequency-domain detection method, this paper proposes a new adaptive predictive algorithm based on neural network. It can predict the future time of harmonic currents according to the current data and the former N-1 historical data, achieving the harmonic real-time and fast detection. Simulation results show that the algorithm achieves high accuracy and rapid speed.
陈淑华, 付青, 马桂龙, 刘凤杰, 程光蕾. 基于神经网络自适应预测算法的谐波检测[J]. 电工技术学报, 2011, 26(1增): 201-207.
Chen Shuhua, Fu Qing, Ma Guilong, Liu Fengjie, Cheng Guanglei. Harmonic Detection Based on Artificial Neural Network and Adaptive Predictive Algorithm. Transactions of China Electrotechnical Society, 2011, 26(1增): 201-207.
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