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Power quality is the key factor that influences the stability and security of grid system with the wind power integration. Strengthening the evaluation research of power quality of wind farm has significant influence. This paper constructs the fuzzy neural network model to evaluate the power qualities of different observation points of wind farm, and uses certain power quality classifications to verify the security and stability of wind power in grid-connection. Numerical example analysis will verify that the model in this paper is reasonable and subjective in power quality classification determination, and corresponding power evaluation result in the same classification is characterized by high identification degree and high resolution, which has advisory value for decision making.

Research on Power Quality Evaluation of Wind Farm Based on Fuzzy Neural Network