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Reduced-Order Modeling of Inverter-Based Generation using Hybrid Singular Perturbation

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This paper contributes to the field of inverter modelling for large-scale simulations by introducing a novel Model- Order Reduction (MOR) method based on singular perturbation. Motivated by the timescale separation between the fast and slow dynamics in an inverter-based power system, the proposed nonlinear MOR concept extends on the existing zero- and firstorder reduction methods by combining the low computational burden of the former approach with the higher accuracy of the latter one. As a result, such hybrid MOR technique preserves the slow system dynamics of the full-order model, while simultaneously capturing the impact of the removed fast states on slow variables. Moreover, we introduce several improvements to the existing first-order MOR in order to make it tractable and more efficient when applied to a realistic full-order inverter model. The novel hybrid approach is applied to both grid-forming and gridfollowing inverter control schemes, and compared against existing reduction methods from the literature. The results showcase a better time-domain performance of the hybrid method during transients, while having a negligible increase in computational requirements compared to the traditional zero-order approach.

Author(s):

Ivo Caduff    
Lawrence Berkeley National Laboratory
Switzerland

Uros Markovic    
ETH Zürich
Switzerland

Ciaran Roberts    
Lawrence Berkeley National Laboratory
United States

Gabriela Hug    
ETH Zürich
Switzerland

Evangelos Vrettos    
Lawrence Berkeley National Laboratory
United States

 

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