Semidefinite Programming is met with increasing interest within the power systems community. Its most notable application to-date is a convex formulation of the AC optimal power flow problem. At the same time, semidefinite programs can be applied on LMI conditions to derive Lyapunov functions that guarantee power system stability. In this talk we will report on recent work both on power system stability and optimization. First, we will present a novel robust stability toolbox for power grid with its extensions to inertia mimicking and topology control. In that, the quadratic Lyapunov functions approach is introduced for transient stability assessment. Second, we will propose formulations for the integration of chance constraints for different types of uncertainty in the AC optimal power flow problem. We demonstrate our method with numerical examples, and we investigate the conditions to achieve zero relaxation gap.
The theme of this quarter's Stanford SmartGrid seminar series is on smart grids and energy systems, scheduled to be held on Thursdays, with speakers from academic institutions and industry.
This quarter's speakers are renowned experts in power and energy systems, and we believe they will bring novel insights and fruitful discussions to Stanford. This seminar is offered as a 1 unit seminar course, CEE 272T/EE292T for interested students. This course can be repeated for credit for the students.
SmartGrid Seminar Organization Team:
- Ram Rajagopal, Assistant Professor, Civil and Environmental Engineering
- Chin-Woo Tan, Director, Stanford Smart Grid Lab
- Wenyuan Tang, Postdoctoral Scholar, Civil and Environmental Engineering
- Yuting Ji, Postdoctoral Scholar, Civil and Environmental Engineering
- Emre Kara, Associate Staff Scientist, SLAC