利用递归神经网络的动态映射能力，实现了静止无功发生器的递归神经网络建模，构造了ＡＳＶＧ递归神经网络模型。理论分析与仿真实验表明，所建立的递归神经网络模型可以很好地实现正常运行及故障状态下ＡＳＶＧ电力系统的非线性动态映射。 Using the dynamic mapping ability of recursive neural network, the recursive neural network modeling of static var generator is realized and the ASVG recurrent neural network model is constructed. Theoretical analysis and simulation results show that the established recurrent neural network model can well realize the nonlinear dynamic mapping of ASVG power system under normal operation and fault conditions.