Insulation Condition Assessment Method of Power Transformer Based on Optimal Weighting and Cloud Model

The transformer is a complex system, there are many evaluation indexes, the evaluation indexes have fuzziness and randomness. In this paper, an insulation state evaluation method of power transformer based on optimal weighting and cloud model is proposed. Firstly, the transformer insulation state evaluation system is established, and the evaluation indexes are weighted by using the analytic hierarchy process and the CRITIC method with improved coefficient of variation. Secondly, the membership degree of the transformer under five state levels is determined by using the cloud model. Finally, the operation state of transformer is obtained by the comprehensive evaluation model of transformer. Through the example verification, the evaluation results of the method are consistent with the actual operating conditions, which verifies the effectiveness and feasibility of the method in this paper, and has certain reference value for the state assessment of power equipment.