5 papers
SOPF-Based Adaptive Droop Control for Hybrid AC--HVDC Grids Under Offshore Wind Uncertainty
Hongjin Du, Aleksandra Lekić
The integration of massive offshore wind into hybrid AC-HVDC grids demands robust DC voltage regulation, yet conventional fixed-gain droop controllers struggle under severe stochas…
Estimating Density Functions for Probabilistic Power Flow Using Invertible Neural Networks
Weijie Xia, James Ciyu Qin, Edgar Mauricio Salazar Duque +4
Probabilistic power flow (PPF) is essential for quantifying operational uncertainty in modern power systems with high penetrations of renewable generation and flexible loads. Conve…
An OPF-based Control Framework for Hybrid AC-MTDC Power Systems under Uncertainty
Hongjin Du, Rahul Rane, Weijie Xia +2
The increasing integration of renewable energy, particularly offshore wind, introduces significant uncertainty into hybrid AC-HVDC systems due to forecast errors and power fluctuat…
Optimal Droop Control Strategy for Coordinated Voltage Regulation and Power Sharing in Hybrid AC-MTDC Systems
Hongjin Du, Tuanku Badzlin Hashfi, Rashmi Prasad +3
With the growing integration of modular multilevel converters (MMCs) in Multi-Terminal Direct Current (MTDC) transmission systems, there is an increasing need for control strategie…
Enhanced Optimal Power Flow Based Droop Control in MMC-MTDC Systems
Hongjin Du, Rashmi Prasad, Aleksandra Lekic +2
Optimizing operational set points for modular multilevel converters (MMCs) in Multi-Terminal Direct Current (MTDC) transmission systems is crucial for ensuring efficient power dist…