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In practice, uncertainties in parameters and model structures always cause agap between a model and the corresponding physical entity. Hence, to evaluatethe performance of a model, the bounds of this gap must be assessed. In thispaper, we propose a trajectory-sensitivity--based approach to quantify thebounds of the gap. The trajectory sensitivity is expressed as a lineartime-varying system. We thus first derive several bounds for a general lineartime-varying system in different scenarios. The derived bounds are then appliedto obtain bounds of the model gap for generator plant models with differenttypes of structural information, e.g., models of different orders. Case studiesare carried out to show the efficacy of the bounds through synchronousgenerator models on different accuracy levels.

Quantifying Bounds of Model Gap for Synchronous Generators