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It is challenging to assess the vulnerability of a cyber-physical power system to data attacks. In order to support vulnerability assessment, with the exception of analytic methods, a 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-simulationcoupling 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 cosimulation based platform for a power grid test case. The results indicate how vulnerable of EMS to data attacks and how cosimulation can help assess vulnerability.

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