@article{b878b937cac6490db3e8ae40c9765b9d,
title = "Advanced Fault Ride-Through Operation Strategy based on Model Predictive Control for High Power Wind Turbine",
abstract = "This article presents an advanced fault ride-through control strategy based on model predictive control (MPC) of high-power wind turbine (WT), which is able to provide voltage support for power grid under symmetrical and asymmetrical grid faults. An optimal cost function is first established to realize multi-objective control of wind power converter, considering current regulation, neutral-point voltage balance, and switching frequency control. The flexible positive and negative sequence control (FPNSC) method is applied to generate the current references complying with converter current and voltage limitations. Simulation and hardware-in-the-loop experimental verification are implemented to validate the effectiveness of the proposed fault-ride through operation strategy. The verification results show that the proposed strategy is able to effectively support voltage and implement fault ride-through (FRT) during grid faults with optimized neutral-point voltage and average switching frequency. The proposed MPC strategy can address different fault conditions with good adaptivity. It thus enhances the operation performance of high-power WT during faults events.",
keywords = "Fault ride-through, model predictive control, high power wind turbine, power converter, grid fault",
author = "Lago, {Pedro Catal{\'a}n} and Yanbo Wang and Joseba Arza and Zhe Chen",
year = "2024",
month = jan,
day = "1",
doi = "10.1109/TSTE.2023.3302770",
language = "English",
volume = "15",
pages = "513--526",
journal = "I E E E Transactions on Sustainable Energy",
issn = "1949-3029",
publisher = "IEEE (Institute of Electrical and Electronics Engineers)",
number = "1",
}