Research On Online Monitoring And Fault Diagnose For Transformer

Transformer is one of the most important equipments in the transmission and distribution system, and it takes a vital part in security operation of power system. In view of some problems existed in the design, production and operation of transformer, it causes to some accidents and faults happened in the process of power system operation.The development of electric power equipment condition-based maintenance and maintenance strategy in both national and international is reviewed in the beginning of the paper. Then, taking transformer as the representative equipment, the fuzzy diagnose mathematical model is established based on actual operating experience combined with online inspect and fault diagnose system. The power equipment maintenance strategy method chosen is based on the features of fault mode. Taking advantage of the uncertainty of equipment fault initial stage diagnose data, the fault diagnose model is established. In this model, the binary logic is relaxed into [0,1], and the subjection function u(x) which satisfy u(x)∈[0,1] is defined for fault diagnose of the transformer.The aim of the paper is to establish transformer fault diagnose model which fits the condition-based maintenance application, the transformer fault type is specified exactly by condition-based data by using fuzzy diagnose model. The transformer maintenance cycle is planed rationally, and cost is saved.