Hierarchical Dynamic State Estimation Based on the Goal Coordination for Electric Power Systems

Abstract

A new hierarchical dynamic technique for multi-area power system state estimation is proposed by means of the goal coordination method. In designing various control schemes for large scale power systems, it is indispensable to decompose the system model and coordinate the optimization results in each subsystem. While several approaches based on the model coordination method were reported, the authors have developed a hierarchical structure of static estimation, in which the goal coordination method is applied. For this algorithm, it should be noted that the estimates after coordinating are the same as the results obtained by the integrated state estimation basically. In the dynamic case, however, since the decomposition of the objective function becomes complicated, the above distinctive feature is not necessarily retained. Although the coordination between an upper level and subsystems is approximated one, the performance of the proposed method is expected to be superior to the static estimation because of including the information at the previous time sample.