|Speaker :||Sean Meyn|
|Univ. of Florida|
|Time:||2:00 pm - 3:00 pm|
|Location:||LINCS Meeting Room 40|
In this talkÂ we survey control issues in the grid, and howÂ the introduction of renewablesÂ brings new and interesting controlÂ problems. We also explain the need forÂ economic theory to guide theÂ formulation of contracts for resources neededÂ for reliable real-timeÂ control. Control of the grid takes place on manyÂ time-scales, and isÂ analogous to many other control problems, such asÂ confronted inÂ aviation. There is decision making on times scales of days, weeks, orÂ months; much like the planning that takes place for ticket sales for aÂ commercial airline. Hourly decision making of energy supplyÂ is
analogous to the chatter between pilot and air traffic controllerÂ toÂ re-adjust a route in response to an approaching thunderstorm.Â Then,Â there is regulation of the grid on time-scales of seconds toÂ minutes;Â consider the second-by-second movement of the ailerons on the wingsÂ ofÂ an airplane, in response to disturbances from wind and rain hittingÂ theÂ moving plane. There are also transient control problems: TheÂ recovery of theÂ grid following one generator outage is much like theÂ take-off or landing ofÂ an airplane. It is important to keep theseÂ analogies in mind so that we canÂ have an informed discussion about howÂ to manage the volatility introduced toÂ the grid through renewableÂ energy sources such as wind and solar. The new
control problems in theÂ grid will be solved by engineers, as we have solvedÂ many similarÂ control problems.
Biography: Sean Meyn received the B.A.Â degree in mathematics from theÂ University of California, Los Angeles (UCLA),Â in 1982 and the Ph.D.Â degree in electrical engineering from McGillÂ University, Canada, inÂ 1987 (with Prof. P. Caines, McGill University). He isÂ now ProfessorÂ and Robert C. Pittman Eminent Scholar Chair in the DepartmentÂ ofÂ Electrical and Computer Engineering at the University of Florida, andÂ director of the Laboratory for Cognition & Control. HisÂ researchÂ interests include stochastic processes, optimization, andÂ informationÂ theory, with applications to power systems.