Power balance situation in Shanghai grid is introduced

which indicated the importance of local generator stable operation. Sufficient and representative generators are sampled. Statistical analysis of generator groups tripping events is carried out

and the direction to be paid attention to is clearly pointed out. The process tracing and cause analysis of two real tripping events caused by auxiliary machine defect and control software and hardware defect are carried out. The classifying method for analyzing process of generator trip according to the subsystem of plant is present. The important reference value of operation records is discussed. The information structure of constructing big data platform is proposed. Taking the analysis of seasonal characteristics of generator groups tripping and word frequency of dispatch operation records as an example

the feasibility of building knowledge warehouse with mining algorithm on the basis of large data platform is discussed.