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A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

  • Tommaso ZoppiEmail author
  • Sandford Bessler
  • Andrea Ceccarelli
  • Edward Lambert
  • Eng Tseng Lau
  • Alexandr Vasenev
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 203)

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.

Keywords

Threat analysis Smart grids Evolution Resilience City Planning Power flow equations Demand side management IRENE 

Notes

Acknowledgments

This work has been partially supported by the Joint Program Initiative (JPI) Urban Europe via the IRENE project.

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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017

Authors and Affiliations

  • Tommaso Zoppi
    • 1
    Email author
  • Sandford Bessler
    • 2
  • Andrea Ceccarelli
    • 1
  • Edward Lambert
    • 3
  • Eng Tseng Lau
    • 4
  • Alexandr Vasenev
    • 5
  1. 1.University of FlorenceFlorenceItaly
  2. 2.Austrian Institute of TechnologyViennaAustria
  3. 3.EthosVO Ltd.MersthamUK
  4. 4.Queen Mary University of LondonLondonUK
  5. 5.University of TwenteEnschedeThe Netherlands

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