Measurement-Based System Reduction Using Autoregressive Model

With the constantly changing power system topology and operation status, it is not yet feasible to update full power system simulation models in real time. Furthermore, the accuracy of models for dynamic simulation is a concern. In the large-scale power system dynamic simulation, usually only the dynamics of a local system need to be studied while external systems can be reduced. Thus, dynamic equivalencing is one solution for the increasing size and complexity of power systems. This paper develops a measurement-based equivalent model of the external systems in order to improve the model accuracy of the reduced system and increase the speed of dynamic simulation through system reduction. The dynamic equivalents are obtained by a system identification method and integrated to the simulation tool.