Fall 2017 Office Hours: By appointment.
My research focuses on ways to reduce the environmental impact, cost, and inefficiency of electric power systems via new operational and control strategies. I am particularly interested in developing new methods to actively engage distributed flexible resources such as energy storage, electric loads, and distributed renewable resources in power system operation. This is especially important in power systems with high penetrations of intermittent renewable energy resources such as wind and solar. In my work, I use methods from a variety of fields including control systems and optimization. I also use engineering methods to inform energy policy.
Prior to joining the University of Michigan in January 2014, I was a postdoc in the Power Systems Laboratory at ETH Zurich, Switzerland. I received my MS and PhD from the University of California at Berkeley in mechanical engineering and my BS from MIT in ocean engineering.
Some Current/Recent Research Projects
- Demand response algorithms to improve electric power system stability margins
- Inferring the behavior of distributed energy resources from incomplete measurements
- Data-driven approaches to managing uncertain load control in sustainable power systems
- Environmental impacts of using distributed energy storage for power system reserves
- Improving the energy efficiency of buildings participating in power system ancillary services
I am always looking for graduate students with strong foundations in power systems and/or control systems. If you are interested in working with me, please apply to the Electrical and Computer Engineering graduate program.
- Winter 2014/Fall 2015: EECS463, Power System Design and Operation
- Fall 2014/Fall 2016: EECS598, Analysis of Electric Power Distribution Grids and Loads
- Winter 2015: EECS498, Grid Integration of Alternative Energy Sources
- Winter 2016/Winter 2018: EECS598, Power System Markets and Optimization
With support from NSF (CCF-1442495), we developed a power systems optimization game for high school students. Read more about the game here: An interactive game introducing power flow optimization concepts