Study of 10kV vacuum switch cabinet insulation condition comprehensive fuzzy assessment methods with variable weights

Aimed at the accuracy and feasibility improvement of switch cabinet insulation condition assessment, considering the huge quantity of information and the high possibility of insulation fault in distribution switch cabinet, according to the survey results in substation, some important condition items which exert significant influence on vacuum switch cabinet insulation state are selected, an hierarchical model of condition items is formed, to avoid double counting of the similar indexes. According to the characteristics of different items, the corresponding condition assessment results are given based on different methods, then, the assessment results are put into the corresponding membership functions, fuzzy assessment matrices are developed. Constant weight matrices are confirmed according to the importance of different condition assessment items and expert experiences, and variable weight matrices are amended on the basis of constant weight matrices according to measured data. When fuzzy algorithms are confirmed to combine fuzzy assessment matrices and variable weight matrices, a two-level 10kV vacuum switch cabinet insulation condition assessment model can be built. Finally, an example is given to prove the validity of the condition assessment methods proposed in this paper.