Title :
Smart grid cyber security
Author_Institution :
Univ. of Alberta, Edmonton, AB, Canada
Abstract :
Summary form only given. The trend of integrating power systems with advanced computer and communication technologies has introduced serious cyber security concerns, especially in a smart grid environment where the cyber system is no longer regarded as 100% reliable to support power system communications and control as before. Power system security therefore extends to potential cyber security domain in the smart grid era. Risks from the cyber system as well as non-conventional physical power system contingencies start to contributing to the overall grid security. This will be particularity important considering the potential risks from targeted attacks on vulnerable system components which may bring done the overall system. The presentation gives an overview of the work done by the research team on power system security, including conventional stability as well as cyber security assessment. A framework for smart grid cyber security and vulnerability assessment will be illustrated as well. The framework includes two main components, which are respectively cyber system security assessment and fast power system security assessment. Complex networks theory and data mining based approaches are also employed to identify the vulnerable components of the physical power system. The proposed cyber system models can be integrated with existing power system models to study the complex interactions between the cyber and physical parts of the smart grid. Advanced modeling tools are proposed to model cybThe trend of integrating power systems with advanced computer and communication technologies has introduced serious cyber security concerns, especially in a smart grid environment where the cyber system is no longer regarded as 100% reliable to support power system communications and control as before. Power system security therefore extends to potential cyber security domain in the smart grid era. Risks from the cyber system as well as non-conventional physical power system cont- ngencies start to contributing to the overall grid security. This will be particularity important considering the potential risks from targeted attacks on vulnerable system components which may bring done the overall system. The presentation gives an overview of the work done by the research team on power system security, including conventional stability as well as cyber security assessment. A framework for smart grid cyber security and vulnerability assessment will be illustrated as well. The framework includes two main components, which are respectively cyber system security assessment and fast power system security assessment. Complex networks theory and data mining based approaches are also employed to identify the vulnerable components of the physical power system. The proposed cyber system models can be integrated with existing power system models to study the complex interactions between the cyber and physical parts of the smart grid. Advanced modeling tools are proposed to model cyber attacks and evaluate their impacts on smart grid security have been developed as well.er attacks and evaluate their impacts on smart grid security have been developed as well.
Keywords :
complex networks; data mining; power engineering computing; power system security; power system stability; smart power grids; advanced computer and communication technology; advanced modeling tool; complex networks theory; conventional stability; cyber attack; cyber security assessment; cyber security domain; cyber system model; cyber system security assessment; data mining; nonconventional physical power system contingency; power system communication; power system model; power system security assessment; smart grid cyber security; smart grid environment; smart grid era; smart grid security; vulnerability assessment; vulnerable system component; Australia; Biological system modeling; Computer security; Load modeling; Power system stability; Smart grids;
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
DOI :
10.1109/ICARCV.2014.7064485