Abstract
This paper analyzes two different modeling approaches for the dynamic representation of active distribution grids regarding their applicability in power system stability studies. The first one is derived from a coherency-based aggregation method. It represents the distributed generation (DG) by equivalent generators in combination with a static load. The second modeling approach uses a linearized model for representing distribution grids and is named state-space model highlighting its inheriting nature. This approach is expanded by a new strategy considering explicit state limitations. It is shown that this limitation strategy significantly increases the accuracy of the state-space model. Both models are benchmarked against a detailed distribution grid model, and model accuracies are evaluated. The state-space model shows a higher accuracy for voltage dips smaller than 50 %, since all characteristic modes are preserved, and state limitations are represented in detail. For voltage dips above 50 %, the aggregated model may be applied to achieve higher accuracy.
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