Journal
IET GENERATION TRANSMISSION & DISTRIBUTION
Volume 13, Issue 24, Pages 5449-5456Publisher
INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-gtd.2019.0874
Keywords
invertors; commutation; power system security; failure analysis; learning (artificial intelligence); high-voltage direct current commutation failures; review; increasing applications; high-voltage direct current inverters; heavy-load grids; severe threat; safe operation; stable operation; power systems; adaptability; economic benefits; CF inhibition; integrated methods; supplementary power devices; clear potential future research directions
Categories
Funding
- National Key Research and Development Program [2018YFB0905105]
- Science and Technology Project of State Grid Corporation of China [SGGR0000ZLJS1800174]
Ask authors/readers for more resources
With the increasing applications of high-voltage direct current inverters in heavy-load grids, commutation failures (CFs) pose a severe threat to the safe and stable operation of power systems. This study first sorts methods of CF inhibition into different categories and then investigates their effectiveness, adaptability and limitations. Considering the economic benefits and applicability, CF inhibition calls for integrated methods involving supplementary power devices, control strategies and prediction techniques. Finally, this study makes clear potential future research directions, suggesting first control potential is exploited by machine learning-based control, and then auxiliary devices to be added if necessary.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available