A comprehensive evaluation method of electric power quality based on improved grey correlation analysis

Abstract

Comprehensive evaluation of electric power quality is essential to the implementation of effective power quality control. In traditional evaluation methods, the weight of indicators is fixed and lacks flexibility. Aiming at this problem, this paper has proposed a power quality evaluation method based on improved grey correlation method. This method uses improved analytic hierarchy process (IAHP) to calculate subjective weights and introduces the improved entropy weight method (IEWM) that is modified using variable weight theory which calculates variable objective weights. The proposed method also uses intergrated weighting to combine the subjective and objective weights calculated above, obtaining multidimensional indicator weights. Finally, improved gray correlation analysis (IGCA), improved through employing ideal solution theory and logarithmic information aggregation method based on barrel theory, is implemented in this method to comprehensively evaluate electric power quality.