Abstract

With the China's energy conservation and emissions reduction and energy structure adjustment working gradually thorough, the pumped storage power station has become an integral part of the grid. It has a crucial effect to the stable, safe and reliable operation of the power grid. According to the characteristics of the pumped storage units and the problems existing in the operation, using dynamic neural network method to accurately identify the dynamic characteristics of pumped storage unit in this paper. It becomes easy to realize the fuzzy inference function due to the introduction of product operation. The network is characterized by fewer parameters, faster convergence rate and the strong robustness. The simulation results also verify the effectiveness and accuracy of the proposed fuzzy neural network.

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