The Switch Cabinet Status Evaluation Model Based on Dynamic Evidence Theory

Abstract

The switch cabinet is one of the most important and complex electrical devices in the power grid, and it is a key hub in the operating process of an electric power system. In allusion to the issue of switch cabinet status evaluation, the author of this thesis established a secondary assessment structure for the switch cabinet, and proposed a status evaluation method based on edge computing and dynamic evidence theory. The method of edge computing was introduced into the data input layer, to improve the data communication efficiency, and the online test data were entered into the evaluation index layer. Further, the cloud membership was entered via the cloud model to conduct evaluation of D-S evidence theory. The dynamic weight value was introduced at the first evaluation layer as the optimization degree to conduct dynamic correction for mass function, and the maximum trust degree was set as the evaluation decision rule to output the evaluation results. At the second layer, D-S evidence theory evaluation was conducted again according to the output results of the first layer, and the evaluation results of the second layer were treated as the overall evaluation results of the switch cabinet. Finally, status evaluation on the switch cabinet of an electric field in the southwest was chosen as an example to verify the validity of the evaluation algorithm proposed in this thesis.