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《POWER SYSTEM TECHNOLOGY》 2000-08
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AN ARTIFICIAL NEURAL NETWORK APPROACH FOR MEASURING POWER SYSTEM FREQUENCY

LIU Di chen 1, XIA Li min 1, SHANG Zhi hui 2 (1. Wuhan University of Hydraulic and Electric Engineering, Wuhan 430072, China;2.Research Institute No. 723 of China Shipbuilding Company, Yanzhou 225001, China)  
Because of the non linearity, randomness, distribution and non stationary of large electric power system, high measurement accuracy of frequency cannot be obtained by traditional approaches of frequency measurement. Based on Artificial Neural Network (ANN), a new approach for frequency measurement is proposed. Through a special multi layer feed forward neural network and using basic principle that multi layer network with some transfer functions can approximate any linear or nonlinear function with a finite number of discontinuities in any accuracy, a corresponding frequency measurement network is built. The building process of relevant BP neural network and the training method are given. The simulation results prove the effectiveness of the presented approach.
【CateGory Index】: TM935.1
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