Quantitative Models for a Not So Dumb Grid
How to dimension buffer sizes in a network on chip? What availability can be expected for the Gallileo satellite navigation system? Is it a good idea to ride a bike with a wireless brake? Can photovoltaic overproduction blow out the European electric power grid? Maybe. Maybe not. Probably? The era of poweraware, wireless and distributed systems of systems asks for strong quantitative answers to such questions.
Stochastic model checking techniques have been developed to attack these challenges . They merge two well-established strands of informatics research and practice: verification of concurrent systems and performance evaluation. We review the main achievements of this research strand by painting the landscape of behavioural models for probability, time, and cost, discussing important aspects of compositional modelling and model checking techniques. Different real-life cases show how these techniques are applied in practice.
KeywordsModel Check Smart Grid Power Grid Concurrent System Main Achievement
- 1.Amin, M.: Smart grid: Overview, issues and opportunities: Advances and challenges in sensing, modeling, simulation, optimization and control. In: IEEE Conference on Decision and Control and European Control Conference (2011)Google Scholar
- 3.Berrang, P., Bogdoll, J., Hahn, E.M., Hartmanns, A., Hermanns, H.: Dependability results for power grids with decentralized stabilization strategies. Reports of SFB/TR 14 AVACS - ATR 83 (2012), http://www.avacs.org
- 4.Hermanns, H., Wiechmann, H.: Future design challenges for electric energy supply. In: IEEE International Conference on Emerging Technologies & Factory Automation (2009)Google Scholar