Seminar

 
ABSTRACT:
Series DC arc faults typically occur when gaps form in a current flowing wire or contactor. Arc faults can create serious fire hazards if not detected and removed in a short time. To identify series arc faults accurately and quickly in dc microgrids, an improved series dc arc fault detection algorithm is required.
In this talk, I will introduce a new detection algorithm using relative magnitude comparison. The algorithm detects the time of occurrence of an arc fault based on the magnitudes of the load current in both the time and frequency domains simultaneously. The algorithm works accurately in a dc microgrid with multiple switching converters, as it relies only on relative current information. Experimental verification results with a 5kW dc microgid prototype will be presented.
 
SPEAKER BIOGRAPHY:
Suyong Chae received the B.S. and M.S. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Daejeon, in 1998 and 2000, respectively, and the Ph.D degree from the Seoul National University, Seoul, Korea, in 2009.
From 2000 to 2010, he was a Research Engineer with Samsung SDI. He has been a Principle Researcher at Korea Institute of Energy Research since 2010. His research interests include power electronics, modeling and control of distributed power systems.