Abstract: The computing credibility of the advanced applications of energy management system that relies on the basic data may deteriorate due to the error in the input parameter of devices that are newly added into the system and the drift or mutation of parameters of facilities that are near the end of life cycle. This paper presents a vertically-integrated method for parameter identification based on the intelligent scheduling platform. The dispatching center supervisor defines the suspicious measurement evaluation function and the comprehensive judgment indexes using the phenomenon that measuring residuals in the state estimation increase when there are partial parameter errors. The set of parameters with relatively larger comprehensive judgment indexes is employed as the initial set of suspicious parameters. Considering the life cycle flags of the devices, there may be parameter errors in the newly-operated and nearly-retired devices whose parameters are also added to the suspicious parameter set. The suspicious parameters with limited impact are excluded from the suspicious parameter set, and the final set of candidate parameters is finally obtained. The model management system of dispatching centers maintains the candidate parameters, and inform the sub dispatching centers to update the model parameters base. Simulation results on the IEEE 14-node system have verified the validity of the proposed method.

Key words: intelligent scheduling, state estimation, suspicious function, full life cycle, flag, integrated modification