Algorithmic Approaches for a Dependable Smart Grid
Editors
Latifi Shahram (Ed.)
Document Type
Book Section
Publication Date
1-1-2016
Publication Title
Advances in Intelligent Systems and Computing
Publisher
Springer Verlag
Volume
448
First page number:
677
Last page number:
687
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 game-theoretic online competitive models. We also present in this paper the power down 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. © Springer International Publishing Switzerland 2016.
Keywords
Competitive analysis; Online algorithm; Petri nets; Power down problem; Power grid; Renewable energy; Sustainable energy
Language
English
Repository Citation
Bein, W.,
Madan, B. B.,
Bein, D.,
Nyknahad, D.
(2016).
Algorithmic Approaches for a Dependable Smart Grid. In Latifi Shahram (Ed.),
Advances in Intelligent Systems and Computing, 448
677-687.
Springer Verlag.
http://dx.doi.org/10.1007/978-3-319-32467-8_59