Home > Publications
Home University of Twente
Prospective Students
Intranet (internal)

EEMCS EPrints Service

27854 A Modeling Framework to Support Resilient Evolution Planning of Smart Grids
Home Policy Brochure Browse Search User Area Contact Help

Zoppi, T. and Bessler, S. and Ceccarelli, A. and Lambert, E. and Tseng Lau, Eng and Vasenev, A. (2017) A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. In: 2nd EAI International Conference on Smart Grid Inspired Future, 27 Mar 2017, London, UK. pp. 1-10. Springer Verlag.

Full text available as:

- Univ. of Twente only
1097 Kb


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.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-SCS: Services, Cyber security and Safety
Research Program:CTIT-General
Research Project:IRENE: Improving The Robustness Of Urban Electricity Networks
Uncontrolled Keywords:Threat Analysis, Smart Grids, Evolution, Resilience, City Planning, Power Flow Equations, Demand Side Management, IRENE
ID Code:27854
Status:Accepted for publication
Deposited On:21 March 2017
More Information:statistics

Export this item as:

To request a copy of the PDF please email us request copy

To correct this item please ask your editor

Repository Staff Only: edit this item