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With the capacity of integrated wind farm increasing, the reliability issues of power systems could not be ignored. This paper proposes an evaluation method for power system operation state based on elastic back-propagation neural network through the data of the phasor measurement unit. The effectiveness of the proposed method is verified by the IEEE 14-bus system, it has overcome the slow convergence rate problem and the prediction accuracy is acceptable. Condition assessment of power systems operation state is an important approach to improving the operation reliability of power systems. Keywords-wind power; neural network; operation state prediction; elastic back-propagation algorithm; PMU

Operation State Prediction in Wind Power Integrated Systems Based on Artificial Neural Network