International Conference on Software Engineering and Formal Methods

Software Engineering and Formal Methods pp 161-175 | Cite as

Quantitative Modelling of Residential Smart Grids

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9509)

Abstract

Generation of electricity has traditionally taken place at a small number of power stations but with advances in generating technology, small-scale generation of energy from wind and sun is now possible at individual buildings. Additionally, the integration of information technology into the generation and consumption process provides the notion of smart grid. Formal modelling of these systems allows for an understanding of their dynamic behaviour without building or interacting with actual systems. This paper reports on using a quantitative process algebra HYPE to model a residential smart grid (microgrid) for a spatially-extensive suburb of houses where energy is generated by wind power at each house and where excess energy can be shared with neighbours and between neighbourhoods. Both demand and wind availability are modelled stochastically, and the goal of the modelling is to understand the behaviour of the system under different redistribution policies that use local knowledge with spatial heterogeneity in wind availability.

Keywords

Smart grid Microgrid Renewable energy Process algebra Quantitative modelling Stochastic hybrid Collective adaptive system 
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Notes

Acknowledgements

This work is supported by the EU project QUANTICOL, 600708.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Laboratory for Foundations of Computer Science School of InformaticsUniversity of EdinburghEdinburghUK

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