Events Calendar

CE Ph.D. Oral Dissertation Defense

Speaker: Hadi Meidani, CE Ph.D. Candidate

Talk Title: Uncertainty Management for Complex Systems of Systems. Applications to the Future Smart Grid

Abstract: Today, many of the infrastructures are composed of several coupled sub-systems, many of which are by themselves complex couplings introduce yet more complexities which pose the system
operators with several challenging issues. In many of these
infrastructure systems, uncertainty is an intrinsic features, in several others it is present as a mathematical abstraction
referring to our ignorance due either to the unknown governing physics or to missing information. A major challenge is the predictability of such complex systems of systems under these uncertainties and also the quantification of confidence in the prediction. A predictive science for these systems should (a) assess the uncertainties; that is, to identify and characterize them in the input variables or model parameters; and (b) predict their impacts on the performance of the system, which will eventually assist decision and policy making processes. The study in this dissertation aims to contribute to these two pillars of a successful predictive model for complex infrastructure systems. We have focused on the uncertainty management of the future Smart Grid, as an example of a complex system of systems. The future Smart Grid will be a composition of interacting systems, including the power grid, weather system, social networks, communication networks, etc. The scope of this dissertation encompasses the challenges induced by the uncertainties in the demand and supply sides of the future Smart Grid. Models for the characterization of these uncertainties have been proposed and their impacts on performance metrics of the overall system have been quantified.

Location: Kaprielian Hall (KAP) - 209

Audiences: Everyone Is Invited

Contact: Evangeline Reyes