TOPSIS Power Quality Comprehensive Assessment Based on A Combination Weighting Method

Abstract

In order to better perform operation and planning of active distribution system under the background of high penetration rate of new energy, this paper studies power quality assessment and proposes a method named TOPSIS based on the combination of AHP-CRITIC-EWM. First of all, considering the actual situation, the difference and relevance between power quality indicators, and the degree of dispersion of the evaluation data, the analytic hierarchy process (AHP) is used to determine the subjective weight of the indicators, and the criteria importance through intercriteria correlation (CRITIC) and the entropy weight method (EWM) are combined to determine the objective weight of the indicators. With the goal of the subjective and objective weights tending to be consistent, the minimum deviation combination weight model is established. Secondly, the index weights are integrated into the TOPSIS assessment method to meet the actual requirements of different indexes with different importance levels, and the assessment objects are quantified and graded. Finally, a case study is carried out, and the results show that the comprehensive assessment method proposed is effective and feasible.