Power Outage Consequence Assessment Based on AHP-Cloud Model Distribution Object

Abstract

In view of the unreasonable division of the corresponding security items in the current
evaluation method of the security level protection of the power grid system, this paper starts
from the actual evaluation experience and the existing policy requirements and uses the
analytic hierarchy process to re-divide the weight of each security item. Moreover, this
research combines with artificial intelligence technology to build a distribution fault
evaluation system based on AHP-cloud model and uses Bayesian feedback cloud model to
display the evaluation results given by the testers in the form of cloud droplets, and to verify
and correct the cloud droplets. In addition, the effectiveness of the method proposed in this
paper is demonstrated through simulation experiments, and the statistical charts before and
after correction are compared. The research results show that the evaluation method
proposed in this paper can effectively correct the difference of opinion among the evaluators
and has practical application value.