Topology-Aware Iterative Method for Large-scale Power Electronic Systems with Stray Parameters

Abstract

Power electronic systems are crucial in modern power grids. Accurate offline simulation tools are essential for analyzing such systems. However, the accurate simulation of large-scale power electronic systems is time-consuming especially when stray parameters are considered. This paper proposes a topology-aware iterative method to improve solving efficiency for large-scale power electronic systems with stray parameters. The proposed method includes a topology-aware partitioning strategy and a flexible preconditioning method to efficiently construct preconditioners that can adapt to different topologies and step sizes. With this method, a large-scale solid-state transformer with stray parameters is efficiently simulated. Over 300-fold acceleration is achieved in total compared with commercial software. The method makes it possible to analyze and design large-scale power electronic systems more reliably.

Jialin Zheng

Postdoctoral Fellow of Electrical Engineering

My research interests include edge computing, machine learning, and power energy systems.