An optimal step-size simulation framework for large-scale heat-electric integrated energy system considering fault states

Abstract

Dynamic simulation plays a crucial role in the development of integrated energy systems, which are typically governed by a set of partial differential equations. The selection of an appropriate simulation step-size is essential for balancing the accuracy and speed of the system simulation. However, determining the optimal simulation step-size is challenging, particularly for large-scale and fault-state systems. To address this issue, this paper proposes a novel approach for determining the optimal step-size in simulations of large-scale systems and fault-state systems. Firstly, an iteration simulation approach and a multi-step-size simulation framework are introduced to accelerate the simulation of large-scale systems without compromising accuracy. Additionally, a fault hazard evaluation model and a fault-state system variable-step-size simulation framework are developed to ensure accurate simulation results for fault-state systems. To validate the proposed methodology, comprehensive analyses are conducted on different scenarios using a 4536-node and a 38-node testbed. The results demonstrate that the proposed large-scale system simulation strategy reduces simulation time by 69.1%, while the fault-state simulation approach improves simulation accuracy by 61.99%.