@article{Yang2026, 
author = {Ruoxi Yang and Chenxi Wang and Chao Duan},
title = {A Generalized Power-Flow-Based Initialization Method for Electromagnetic Transient Simulation of Renewable Energy Generation Units},
year = {2026},
journal = {Cybernetics and Intelligence},
keywords = {Renewable energy generation units, power-flow-based initialization, EMT simulation, DFIG, PMSG, PV},
url = {https://www.sciopen.com/article/10.26599/CAI.2026.9390016},
doi = {10.26599/CAI.2026.9390016},
abstract = {As renewable energy generation units become more integrated into power systems, electromagnetic transient (EMT) simulations have become essential for analyzing the dynamic behavior of grid-connected renewable energy systems. How-ever, conventional zero-state initialization methods often fail to ensure a physically consistent steady-state operating point, leading to non-physical transients that degrade both simulation efficiency and accuracy. This paper proposes a power-flow-based initialization method for renewable energy generation units, which guarantees the provision of physically consistent initial values for both state and algebraic variables. Starting from a steady-state power-flow solution, the proposed method systematically initializes the electrical, mechanical, and controller states of renewable energy generation units, ensuring consistency between AC/DC-side variables and the steady-state operating point at the beginning of the simulation. The effectiveness of the method is validated through simulations involving doubly-fed induction generator (DFIG), permanent-magnet synchronous generator (PMSG), and photovoltaic (PV) generation units. The results demonstrate that the method effectively suppresses non-physical transients, improving both EMT simulation stability and computational efficiency.}
}