Suricatta: a platform to model smart grid technologies in the distribution system

Rebecca Ford, Malcolm McCulloch, Thomas Helfer, Sarah Surrall

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)


This paper introduces Suricatta, a platform to model the power demand of a network of dwellings that accounts for the physical infrastructure connecting them, allowing demand from one dwelling to influence in real time demand from others. The demand of each dwelling is determined by aggregating the demand of individual appliances, enabling the potential impact of demand side management (DSM) to be investigated at both the grid and household level. Data requirements to construct the model are discussed, and a case study evaluating demand of a network of homes is presented. Results show Suricatta performs well against Elexion class 1 power simulations, and is particularly valuable for high frequency and DSM applications.
Original languageEnglish
Title of host publicationIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe) 2013
Number of pages5
ISBN (Electronic)9781479929849
Publication statusPublished - 9 Oct 2013
Event2013 4th IEEE/PES Innovative Smart Grid Technologies (ISGT Europe) - Copenhagen, Denmark
Duration: 6 Oct 20139 Oct 2013


Conference2013 4th IEEE/PES Innovative Smart Grid Technologies (ISGT Europe)


  • power system management Metrics More Like This Modes control of Smart Power Grids based on the usage of the innovative method and device of Demand Side Management 2015 50th International Universities Power Engineering Conference (UPEC) Published: 2015 Demand-Side Management in the Smart Grid: Information Processing for the Power Switch IEEE Signal Processing Magazine Published: 2012 Show More
  • energy management
  • smart grids
  • mathematical programming
  • power demand
  • data models
  • load modelling
  • energy consumption
  • washing machines


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