Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27–28, 2017, Proceedings

Research Article

A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

  • @INPROCEEDINGS{10.1007/978-3-319-61813-5_23,
        author={Tommaso Zoppi and Sandford Bessler and Andrea Ceccarelli and Edward Lambert and Eng Lau and Alexandr Vasenev},
        title={A Modeling Framework to Support Resilient Evolution Planning of Smart Grids},
        proceedings={Smart Grid Inspired Future Technologies. Second EAI International Conference, SmartGIFT 2017, London, UK, March 27--28, 2017, Proceedings},
        proceedings_a={SMARTGIFT},
        year={2017},
        month={9},
        keywords={Threat analysis Smart grids Evolution Resilience City Planning Power flow equations Demand side management IRENE},
        doi={10.1007/978-3-319-61813-5_23}
    }
    
  • Tommaso Zoppi
    Sandford Bessler
    Andrea Ceccarelli
    Edward Lambert
    Eng Lau
    Alexandr Vasenev
    Year: 2017
    A Modeling Framework to Support Resilient Evolution Planning of Smart Grids
    SMARTGIFT
    Springer
    DOI: 10.1007/978-3-319-61813-5_23
Tommaso Zoppi1,*, Sandford Bessler2,*, Andrea Ceccarelli1,*, Edward Lambert3,*, Eng Lau4,*, Alexandr Vasenev5,*
  • 1: University of Florence
  • 2: Austrian Institute of Technology
  • 3: EthosVO Ltd.
  • 4: Queen Mary University of London
  • 5: University of Twente
*Contact email: tommaso.zoppi@unifi.it, sandford.bessler@ait.ac.at, andrea.ceccarelli@unifi.it, edward.lambert@ethosvo.org, e.t.lau@qmul.ac.uk, a.vasenev@utwente.nl

Abstract

Cyber security is becoming more and more relevant with the advent of large-scale systems made of independent and autonomous constituent systems that interoperate to achieve complex goals. To ensure security of cyber-physical systems, it is important to analyze identified threats and their possible consequences. In case of smart grids as an example of a complex system, threats can result in power outages that damage the continuous supply of energy that is required from critical infrastructures. Therefore, city planners must take into account security requirements when organizing the power grid, including demand-side management techniques able to mitigate the adverse effects of outages, ultimately improving grid resilience. This paper presents a modeling framework developed within the IRENE project that brings together methodologies, policies and a toolset to evaluate and measure the resilience of the targeted smart grid. This will support stakeholders and city planners in their activities, specifically the resilient evolution planning of Smart Grids.