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It is challenging to assess the vulnerability of a cyber-physical powersystem to data attacks from an integral perspective. In order to supportvulnerability assessment except analytic analysis, suitable platform forsecurity tests needs to be developed. In this paper we analyze the cybersecurity of energy management system (EMS) against data attacks. First weextend our analytic framework that characterizes data attacks as optimizationproblems with the objectives specified as security metrics and constraintscorresponding to the communication network properties. Second, we build aplatform in the form of co-simulation - coupling the power system simulatorDIgSILENT PowerFactory with communication network simulator OMNeT++, and Matlabfor EMS applications (state estimation, optimal power flow). Then the frameworkis used to conduct attack simulations on the co-simulation based platform for apower grid test case. The results indicate how vulnerable of EMS to dataattacks and how co-simulation can help assess vulnerability.

Co-simulation for Cyber Security Analysis: Data Attacks against Energy Management System