Research on condition assessment for distribution vacuum switch cabinets based on multi-source information fusion

Serve as one of the most important equipments in power distribution system, conditions of switch cabinets are closely connected with safety and stability of distribution network and exert great influence on power quality used by customers. But the information applied in the current research of distribution switch cabinet is not comprehensive enough, and the assessment model is not dynamic enough, because of this, a distribution vacuum switch cabinet dynamic condition assessment model based on multi-source information fusion is proposed in this paper. The vacuum switch cabinet is divided into three parts - vacuum circuit breaker, buses and cable outlets. The information used to assess these three parts' conditions concludes ultrasonic results, TEV results, infrared temperature measurement results, vacuum degree, insulation resistance and mechanic parameters. Moreover, environment information, operation information and position information of the switch cabinet are also taken into consideration. Membership functions and scale models are used in the condition assessment. Thus, the historical conditions of the switch cabinet in the past 5 years can be obtained, and Bayes conditional probability model is used to fuse these condition assessment results. In the meantime, the corresponding examples are given to prove the validity of the models proposed in this paper.