Quantify Gas-to-Power Fault Propagation Speed:A Semi-Implicit Simulation Approach

TL;DR

This paper introduces a semi-implicit simulation method to accurately and efficiently analyze the propagation speed of gas-to-power faults, revealing key factors influencing fault dynamics and potential cascading failures.

Contribution

It develops a novel semi-implicit simulation approach using Rosenbrock schemes and a critical-time-location strategy for cross-system fault propagation analysis.

Findings

Fault propagation speed depends on fault position and pipe friction.

The coupling between gas and power systems can cause cascading failures.

The proposed method improves accuracy and efficiency of fault simulation.

Abstract

Relying heavily on the secure supply of natural gas, the modern clean electric power systems are prone to the gas disturbances induced by the inherent rupture and leakage faults. For the first time, this paper studies the cross-system propagation speed of these faults using a simulation-based approach. Firstly, we establish the differential algebraic equation models of the rupture and leakage faults respectively. The boundary conditions at the fault locations are derived using the method of characteristics. Secondly, we propose utilizing a semi-implicit approach to perform post-fault simulations. The approach, based on the stiffly-accurate Rosenbrock scheme, possesses the implicit numerical stability and explicit computation burdens. Therefore, the high-dimensional and multi-time-scale stiff models can be solved in an efficient and robust way. Thirdly, to accurately locate the simulation events, which can not be predicted a priori, we propose a critical-time-location strategy based on the continuous Runge-Kutta approach. In case studies, we verified the accuracy and the efficiency superiority of the proposed simulation approach. The impacts of gas faults on gas and power dynamics were investigated by simulation, where the critical events were identified accurately. We found that the fault propagation speed mainly depends on the fault position and is influenced by the pipe frictions. The bi-directional coupling between gas and power may lead to cascading failures.