Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Colloquia Archive 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 CMS Colloquia 
 Q-Mat Seminars 
 Q-Mat Seminars Archive 
 P/T Colloquia 
 Kac Lectures 
 Kac Fellows 
 Dist. Quant. Lecture 
 Ulam Scholar 
 CNLS Fellowship Application 
 Student Program 
 Past Visitors 
 History of CNLS 
 Maps, Directions 
 CNLS Office 
Thursday, May 18, 2017
2:00 PM - 3:00 PM
CNLS Conference Room (TA-3, Bldg 1690)

Postdoc Seminar

Saving the Planet (and the Electric Grid) through Uncertainty Quantification and Optimization

Line Roald

Our society depends on electricity for almost any day-to-day activity, and renewable electricity generation is key for a sustainable energy future. While solar cells, wind turbines and overhead lines are visible components of the system, the physics of the grid and the power flows from generators to customers are less tangible. In the first part of this talk, I will give an overview of the electric system and explain how renewable energy is creating both opportunities and challenges for our energy supply. If you know nothing about electricity grids, this is your chance to understand the revolution that is currently happening! The second part of the talk will be more technical, and I will present methods to quantify and manage forecast uncertainty from renewable energy. While the motivation is electric grids, the problem setting is quite general. We consider a large-scale network with non-linear, non-convex physics and uncertain inputs. Uncertainty quantification, i.e. understanding how input uncertainty affects system performance, is integrated within a stochastic optimization problem, where we explicitly limit the probability of adverse outcomes. While solving the full non-linear, stochastic optimization is currently an open problem, I will show two novel solution strategies based on (i) linearization and (ii) an iterative solution algorithm. Numerical results are presented to demonstrate the performance and scalability of the solution methods, along with a discussion of a practical implementation in the real German electricity grid.‚Äč

Host: Chris Neale