A topology-based simplified dynamic model and solving algorithm for LCC-HVDC converters considering commutation failure
Year: 2025
Type: article
Abstract: • Topology-based dynamic model preserves LCC valve switching and commutation behaviour. • Structure-stable solver enables fast simulation under changing converter topologies. • Model captures commutation failure dynamics with high accuracy and efficiency. Dynamic modeling of line-commutated converter (LCC) based high-voltage direct current (HVDC) systems faces a trade-off between computational efficiency and accuracy in capturing commutation failure (CF) behavior. Existing electromagnetic transient (EMT) models are highly accurate but computationally intensive, whereas simplified models often neglect valve-level switching dynamics and CF mechanisms. To overcome these limitations, this paper proposes a topology-based simplified dynamic (TBSD) model for LCC-HVDC converters. The model adopts ideal switch representations to preserve the discrete switching behavior of thyristors, and decomposes the converter circuit into a main network and a valve-level auxiliary network based on topological states. Then, a structure-stable solving algorithm is developed to maintain consistent matrix dimensions across different switching configurations. Furthermore, an adaptive time-step control strategy is introduced, which dynamically adjusts the simulation step based on the rate of change in DC current, achieving both computational acceleration during steady-state and high-resolution tracking during transients. The proposed model and solution method are implemented in the PSModel simulation platform and validated against PSCAD/EMTDC under steady-state and fault conditions. Simulation results confirm that the TBSD model accurately captures commutation failure dynamics while significantly improving computational efficiency.
Authors: Yangyang He, Nengling Tai, Jin Xu, Wenzhuo Liu, Panjie Lian, Haizhen Zhang
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $3,920
Awards: G1387338301, G1897635627, G5123574733
OpenAlex ID: W7106227273
