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

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