ABSTRACT

This chapter presents the framework of the self-tuning and self-diagnosing simulation and proposes a specific approach to combining wide-area measurements with the digital models of the power system component. It provides two cases of applying this self-tuning and self-diagnosing simulation in the real power grid. One concerns simulation validation and model data correction, while the other concerns locating the disturbance source to minimize the possibility of resonant oscillation in a large power grid. The chapter also presents the hybrid data dynamic simulation which is the core technique in self-tuning and self-diagnosing simulation, since it provides a realizable approach to constituting a feedback closed-loop simulation using measurements, which makes self-correcting parameters possible in the simulation. The one machine infinite bus system can be taken as an example to illustrate the idea of the hybrid data dynamic simulation. The M&M simulation can be classified as a type of hybrid simulation.