Algorithmic approaches for a dependable smart grid

Abstract

We explore options for integrating sustainable and renewable energy into the existing power grid, or even create a new power grid model. We present various theoretical concepts necessary to meet the challenges of a smart grid. We first present a supply and demand model of the smart grid to compute the average number of conventional power generator required to meet demand during the high consumption hours. The model will be developed using Fluid Stochastic Petri Net (FSPN) approach. We propose to model the situations that need decisions to throttle down the energy supplied by the traditional power plants using gametheoretic online competitive models. We also present in this paper the powerdown model which has shown to be competitive in the worst case scenarios and we lay down the ground work for addressing the multi-state dynamic power management problem.