A Modeling Framework to Support Resilient Evolution Planning of Smart Grids

Research Area: Uncategorized Year: 2017
Type of Publication: In Proceedings Keywords: Threat Analysis, Smart Grids, Evolution, Resilience, City Planning, Power Flow Equations, Demand Side Management, IRENE
Authors: Tommaso Zoppi; Sandford Bessler; Andrea Ceccarelli; Edward Lambert; Eng Tseng Lau; Alexandr Vasenev
Editor: Springer Volume: 203
Book title: 2nd SmartGIFT Conference
Pages: 10
Address: London, UK
Month: March
ISBN: 978-3-319-61813-5
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 cyberphysical 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.

Resilient Computing Lab, 2011

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