A stiffness-oriented model order reduction method for low-inertia power systems.

This paper presents a novel model order reduction technique tailored for nonlinear power systems with a large share of inverter-based energy resources. Such systems exhibit an increased level of dynamic stiffness compared to traditional power systems, posing challenges for time-domain simulations and control design. Our approach involves rotation of the coordinate system of a linearized system using a transformation matrix derived from the real Jordan canonical form, leading to mode decoupling. The fast modes are then truncated in the rotated coordinate system to obtain a lower-order model with reduced stiffness. Applying the same transformation to the original nonlinear system results in an approximate separation of slow and fast states, which can be truncated to reduce the stiffness. The resulting reduced-order model demonstrates an accurate time-domain performance, the slow eigenvalues of the linearized system are correctly preserved, and a reduction in the model stiffness is achieved, allowing for accurate integration with increased step size. Our methodology is assessed in detail for a 3-bus system with generation units involving grid-forming/following converters and synchronous machines, where it allows for a computational speed-up of up to 100 × compared to the original system. Several standard larger test systems are also considered. • Models of power systems with large share of renewables exhibit increased stiffness. • Model order reduction approach tailored to reduce stiffness of (nonlinear) systems. • Real Jordan canonical form to separate fast and slow modes of linearized system. • Numerical results for various (large-scale) low-inertia test systems. • Computational speed-up of up to 100 × compared to the original (stiff) model. [ABSTRACT FROM AUTHOR]