Highly Stable Rotating Machine Models Using the State-Space-Nodal Real-Time Solver

Abstract

This paper presents a set of rotating machine models, namely synchronous, asynchronous and permanent magnet synchronous machines, with increased stability characteristics compared to traditional state-space based methods. In this work, the machine models are all derived using the state-space-nodal (SSN) theory. This results in machine models that are stable without any parasitic load or numerical snubber. This is an important improvement for these models in solver packages based on the state-space approach, such as SimPowerSystems or PLECS.