Abstract:

A wind farm power quality evaluation method based on improved relative intensity entropy method is proposed to address the issue of weight allocation and accuracy in wind farm power quality evaluation. This corrects the unreasonable distribution of entropy weight when the traditional relative intensity entropy method approaches 1.The combination of relative intensity entropy method and analytic hierachy process (AHP) extended scaling method to calculate indicator weights improves the accuracy of weights and corrects the problem of unreasonable entropy weight allocation. The optimized combination model with the minimum total deviation value was used to evaluate the indicators and weights. The comprehensive evaluation of the power quality of wind farms was achieved. The analysis results of the example show that the proposed method is reliable and reasonable to evaluate the power quality.

Key words: wind farm, power quality, comprehensive evaluation, entropy weight, analytic hierarchy process (AHP), weight