Faculty
Assistant Professor
Y. Christine Chen
Power systems analysis and control, grid monitoring and analytics, renewable resource integration
Christine Chen is an Assistant Professor in the Department of Electrical and Computer Engineering. Prior to joining UBC, she received the M.S. and Ph.D. degrees in Electrical Engineering from the University of Illinois at Urbana-Champaign in 2011 and 2014, respectively. She earned the B.A.Sc. degree in Engineering Science (Electrical option) from the University of Toronto in 2009.
Christine's primary research interests lie in the modeling, analysis, and control of electric power systems.
Research Groups
Courses
| ELEC 453 |
Power System Analysis Transmission and distribution; phasors, complex power; balanced/unbalanced three-phase operation; symmetrical components, sequence networks; voltage regulation; short circuit capacity; circuit breakers; transmission lines, series/shunt impedance; short, medium, and long line models. [3-0-2] Prerequisites |
| EECE 571R |
Security and Reliability in the Internet of Things (IoT) Learning Objectives By the end of this course, it is expected that the students will be able to: Understand the sources of reliability issues and security attacks in IoT systems Appreciate the trade-offs between reliability/security and performance/power Evaluate state of art techniques to analyze the reliability and security of IoT systems Design and Implement reliability and security techniques for IoT devices Detailed Course Outline |
| EECE 555 |
Renewable and Efficient Electric Power Systems Overview of conventional electricity generation systems, high-voltage transmission, low-voltage distribution systems. Modeling and performance of renewable electricity generation systems, e.g., solar & wind. Grid integration of renewable energy systems. |
| EECE 567 |
Power System Dynamics and Stability |
| EECE 571C |
Renewable and Efficient Electric Power Systems Course Structure/Operation Context. This course is an elective course within the Urban Systems Pillar in the new Applied Science Professional Master’s Program. The course provides an introduction to the North American power system infrastructure. It explores system-level issues surrounding grid integration of renewables and other emerging technologies. |
| EECE 571D |
Digital Communication Systems Course description: Random processes, signals and noise; digital communication over additive white Gaussian noise (AWGN) channels, optimal receiver design, modulation techniques and error performance calculations; communication over bandlimited AWGN channels; power spectra of digitally modulated signals; intersymbol interference; wireless communication systems; data security. Course Outline: Introduction and course overview; review of probability theory and random processes (2 weeks) |
Contact
Office: KAIS 4101Electrical and Computer Engineering
The University of British Columbia
4101 - 2332 Main Mall
Vancouver BC V6T 1Z4
Canada
chen [at] ece [dot] ubc [dot] ca
(604) 827-4238
Website:
https://www.ece.ubc.ca/~chen
https://www.ece.ubc.ca/~chen
