It is challenging to assess the vulnerability of a cyber-physical power system to data attacks from an integral perspective. In order to support vulnerability assessment except analytic analysis, suitable platform for security tests needs to be developed. In this paper we analyze the cyber security of energy management system (EMS) against data attacks. First we extend our analytic framework that characterizes data attacks as optimization problems with the objectives specified as security metrics and constraints corresponding to the communication network properties. Second, we build a platform in the form of co-simulation - coupling the power system simulator DIgSILENT PowerFactory with communication network simulator OMNeT++, and Matlab for EMS applications (state estimation, optimal power flow). Then the framework is used to conduct attack simulations on the co-simulation based platform for a power grid test case. The results indicate how vulnerable of EMS to data attacks and how co-simulation can help assess vulnerability.
Original languageEnglish
Title of host publication2017 IEEE international Conference on Smart Grid Communications, SmartGridComm 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages253-258
Number of pages6
ISBN (Electronic)978-1-5386-4055-5
DOIs
Publication statusPublished - 2018
Event2017 IEEE international Conference on Smart Grid Communications - Dresden, Germany
Duration: 23 Oct 201726 Oct 2017
http://sgc2017.ieee-smartgridcomm.org/

Conference

Conference2017 IEEE international Conference on Smart Grid Communications
Abbreviated titleSmartGridComm
CountryGermany
CityDresden
Period23/10/1726/10/17
Internet address

    Research areas

  • Communication networks, Energy management, Routing, Security, Power systems, Measurement, Tools

ID: 33503402