Rajesh karki
ProfessorÂ
Electrical and Computer Engineering
University of Saskatchewan
Canada
Biography
Dr. Karki is a Professor in the Power System Research Group at the University of Saskatchewan, a Senior Member of the IEEE, and a Professional Engineer in the province of Saskatchewan. He specializes in the area of power system reliability. He has published about 100 technical papers, 3 books, 6 book chapters and prepared 15 industry reports in this area. He has supervised 32 Master’s and 11 doctoral students, and 3 post-doctoral fellows. Since 2002, he has been conducting reliability studies for Canadian and international electric utilities, and also provided short courses in power system reliability to universities and industries. He has led collaborative research and consulting projects for Saskatchewan Power Corporation, British Colombia Hydro, Yukon Energy Corporation, ATCO Electric, and Check-It Solutions, and has worked in partnership with Manitoba Hydro, Hydro Quebec, Cowessess First Nations Wind Battery Project and Saskatchewan Research Council. He has signed MOU with Central Power Research Institute (India) and Korean Electric Power Research Institute (Korea) to work jointly on wind energy and energy storage reliability research. He also held adjunct and external faculty position at the University of Manitoba, Kathmandu University (Nepal), Chongqing University (China), and Indian Institute of Technology Mumbai (India). Dr. Karki is currently focus is on reliability impacts of smart-grid initiatives, renewable energy, energy storage, and value based reliability operation and planning.
Research Interest
reliability impacts of smart-grid initiatives, renewable energy, energy storage, and value based reliability operation and planning.
Publications
-
Thapa S, Karki R. Reliability benefit of energy storage in wind integrated power system operation. IET Generation, Transmission & Distribution. 2016 Feb 18;10(3):807-14.
-
Wang X, Karki R. Exploiting PHEV to Augment Power System Reliability. IEEE Transactions on Smart Grid. 2016 Jan 19.
-
Miao S, Xie K, Yang H, Karki R, Tai HM, Chen T. A mixture kernel density model for wind speed probability distribution estimation. Energy Conversion and Management. 2016 Oct 15;126:1066-83.