MBSE Colloquium: Na Li, "Market Design for Future Electric Distribution Networks"
Monday, October 17, 2016
1146 AV Williams Building
Market Design for Future Electric Distribution Networks
Electrical Engineering and Applied Mathematics
With the increasing penetration of distributed energy resources and the rapid deployment of sensing, communication and computation infrastructures, the power network is in transition to one that is more energy efficient and sustainable. In the future, every house may have its own energy generations, electric vehicles, and smart appliances, which are all connected and share electricity through the grid. To encourage end-users to participate in such transformation of the power grid, an efficient electricity market, especially in distribution networks, plays an important role. However, many challenges constitute significant barriers to form such a market, especially i) complexity associated with physical operation of the power systems, ii) self-interested and even strategic behavior of users, iii) inherent uncertainties involved in both emerging generation and consumption resources and devices.
In this talk, I will present how to tackle these challenges by integrating approaches from economics, power engineering, optimization and control. Firstly, I will present a decentralized market that defines trading rules which efficiently allocate externalities associated with physical operations to individual bilateral transactions in the networks. Then I will present a couple of auction designs that will handle the self-interested behavior of users and guarantee reliability of the system in the present of uncertainties.
Na Li is an assistant professor in Electrical Engineering and Applied Mathematics of the School of Engineering and Applied Sciences in Harvard University since 2014. She received her Bachelor degree in Mathematics in Zhejiang University in 2007 and PhD degree in Control and Dynamical systems from California Institute of Technology in 2013. She was a postdoctoral associate of the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology 2013-2014. Her research lies in the design, analysis, optimization and control of distributed network systems, with particular applications to power networks. She received NSF career award (2016) and entered the Best Student Paper Award ﬁnalist in the 2011 IEEE Conference on Decision and Control.