Abstract
In order to improve the limitation of the existing wind power grid connection quality assessment methods, a more reasonable combinatorial weight method considering the advantages of both subjective and objective is proposed. The objective function is to maximize the variance of the evaluation object under the combined weight, and to optimize the optimal solution of the model as the index weight. On this basis, an adaptive fuzzy neural network is used to evaluate the power quality evaluation method based on the combination weight of the maximization of variance. This method is used to evaluate the 220KV bus power quality of the Weifang power grid. The results not only verify the reasonableness of the proposed variance maximization combination weight weighting, but also verify the effectiveness of the proposed adaptive fuzzy neural network power quality comprehensive evaluation method, which provides a new method for the study of the evaluation method.
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