Abstract：The transformer winding parameters are difficult to be identifed under normal operation of transformer. Aimed to solve the special problem of unrecogniziblity of transformer winding parameters when transformer is under steady-state operation, this paper provides a new identification model of transformer as well as a criteria for the judgment of identification results which is based on the statistics of autocorrelation function. With EMTP simulation tool, this paper establishes the simulation model of UHV power transmission system referring to the UHV power transmission system of dynamic simulation laboratory and simulates various situations such as UHV transformer energizing, external fault, internal fault, normal operation in the model, and testifies that the parameter identification algorithm based on the new transformer model can estimate the winding parameters accurately in various conditions, especially in stable-state condition.
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