[CCoE Notice] Smart grid seminar: A Framework for Distributed Decision Making in Power Systems with Variable Resources, Professor Le Xie, TAMU, Friday March 25th, 2pm E218.

[Lewis, Lindsay R]

A Framework for Distributed Decision Making in Power Systems with Variable Resources

Professor Le Xie, TAMU, Friday March 25th, 2pm E218.

Host: Zhu Han



Abstract: This talk is motivated by the increasing presence of intermittent energy resources such as wind and photovoltaic power, which has raised many challenging questions regarding electric energy system operations. Given that (1) most of these intermittent resources are geographically dispersed, and (2) sensing, computing and actuation devices are more affordable, a distributed decision-making framework becomes not only possible, but necessary for future electric energy systems. In the proposed framework, a group of energy converting components in the system is considered a module and is represented in terms of its local variables and the interaction variables between the module and the delivery system. This is contrasted with the conventional off-line simulation-based approach to integrating dispersed intermittent resources. Both the short term stabilization and longer term scheduling problems are shown to be solvable using a distributed approach. The proposed approach provides a theoretical framework for systematic integration of sustainable energy resources, such as wind and solar, with quantifiable performances. Numerical results are shown in an IEEE Reliability Test System.



Bio: Le Xie is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College Station, Texas, where he is affiliated with the Electric Power and Power Electronic Group. He received his B.E. in Electrical Engineering from Tsinghua University, Beijing, China in 2004. He received S.M. in Engineering Sciences from Harvard University in June 2005. He obtained his Ph.D. from Electric Energy Systems Group (EESG) in the Department of Electrical and Computer Engineering at Carnegie Mellon University in 2009. His industry experience includes an internship in 2006 at ISO-New England and an internship at Edison Mission Energy Marketing and Trading in 2007. His research interest includes modeling and control of large-scale complex systems, smart grid applications in support of variable energy integration, and electricity markets. He also serves as the founding faculty advisor to Texas A&M Energy Club, a university-wide student-run organization focusing on energy.


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