Status evaluation of secondary system in intelligent substation

Abstract

With the rapid development of intelligent substation, the continuous progress of the condition-based maintenance of intelligent substation has already become very urgent. Status evaluation is the main stage of condition-based maintenance. Its purpose is to determine the health status of the equipment, and be able to timely maintenance before the failure occurred. The paper focuses on the research on the status evaluation methods. This paper makes clear the scope of the evaluation and establishes a evaluation system of secondary system in intelligent substation on condition of the existing standards and research. It uses fuzzy mathematical algorithm to establish the evaluation algorithm model. Meanwhile, it introduces two new fuzzy sets to evaluate its status more accurately. This paper also uses the method of BP artificial neural network to determine the weight of each kind of evaluation index, and finally it completes the evaluation of the secondary system in intelligent substation.