Abstract：To accurately assess the power quality status of a system，a comprehensive power quality evaluation

method based on a combined weighting approach and the normal cloud model was proposed. Initially，a

comprehensive evaluation framework for power quality was established，encompassing three key dimensions：

amplitude quality，waveform quality，and frequency quality. To address the subjectivity and ambiguity inherent in

the traditional analytic hierarchy process for weight determination，an improved method utilizing trapezoidal fuzzy

numbers was introduced to derive subjective weights. Concurrently，an enhanced（criteria importance through

intercriteria correlation）CRITIC method was employed to calculate objective weights，which incorporates the

variability，conflict，and dispersion of the evaluation indices. The integration of subjective and objective weights

was then achieved through the principle of minimal information discrimination. Finally，the normal cloud model

was applied to perform a comprehensive evaluation of power quality，based on predefined grading standards. The

effectiveness and accuracy of the proposed method were validated through practical case studies，and comparisons

with existing evaluation methods demonstrate its superior performance.

        Key words：power quality；analytic hierarchy process（AHP）；criteria importance through intercriteria

correlation（CRITIC）method；minimum information discrimination principle；normal cloud model

     Format Citation:高强伟，禚程程，刘轶超,等. 基于组合赋权和正态云模型的电能质量评价[J].电气传动,2026,56(07):65-73. GAO Qiangwei，ZHUO Chengcheng，LIU Yichao,et al. Power quality evaluation based on combinatorial assignment and normal cloud modelling [J].Electric Drive, 2026,56(07):65-73