Efficient electromagnetic transient simulation for DFIG-based wind farms using fine-grained network partitioning

Electromagnetic transient (EMT) simulation plays a critical role in understanding the dynamic behavior and fast transients involved in wind farms (WFs). However, as WFs continue to develop on a large scale, the increasing number of wind turbines and network nodes poses significant challenges for efficient EMT simulation of WFs. To address this issue, we propose a fine-grained network decoupling method for doubly-fed induction generator (DFIG) based WFs. This paper first establishes the decoupling algorithm for core electrical equipment of DFIG-based WFs. By employing device-level fine-grained decoupling, the dimensionality of the admittance matrix for WF is effectively reduced, significantly decreasing the computational load. Additionally, this paper establishes a scalable computational framework by integrating multi-threaded parallel computation into the simulation process, which enhances efficiency further. The proposed method is compared with detailed models in Matlab/Simulink to verify efficiency and accuracy. Simulation results demonstrate that this method significantly improves simulation efficiency, achieving a two-order-of-magnitude speedup with 50 wind turbines, and it maintains high simulation accuracy, with a maximum relative error of 1.68%. • Fully EMT models for the equipment of wind farms with high efficiency are established. • A device-level fine-grained network partitioning method for wind farms is proposed. • A scalable parallel simulation framework based on OpenMP is designed. • The simulation efficiency for large-scale wind farms is significantly improved.