Securing DC and hybrid microgrids

Many security technologies for microgrids have been proposed in the literature, which must be rigorously tested in a realistic power platform before being transitioned to the energy sector. To address this need, a 13.8-kV microgrid security test bed is introduced in this paper towards the objective of securing dc and hybrid microgrids. Different from existing test beds that are based on simulated power flows, our test bed is built on a real power facility. The design of the test bed, including both the physical system and the cyber system, is described. Power electronics technology plays a major role in this test bed as it does in the microgrid infrastructure, and is an integral part of the testing instrumentation and methods. Potential security problems, from both software and hardware attacks, as well as security solutions, are considered and able to be emulated and evaluated using the test bed.

[1]  Robert J. Thomas,et al.  MATPOWER's extensible optimal power flow architecture , 2009, 2009 IEEE Power & Energy Society General Meeting.

[2]  Nisha Kondrath,et al.  Microgrids: Technical and security recommendations for future implementations , 2014, 2014 IEEE International Conference on Consumer Electronics (ICCE).

[3]  Zaiyue Yang,et al.  Impacts of unreliable communication and modified regret matching based anti-jamming approach in smart microgrid , 2014, Ad Hoc Networks.

[4]  Rajesh G. Kavasseri,et al.  WiP abstract: Multicast authentication in the smart grid with one-time signatures from sigma-protocols , 2013, 2013 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS).

[5]  Qinghua Li,et al.  Multicast Authentication in the Smart Grid With , 2011 .

[6]  Hak-Man Kim,et al.  Traffic Rerouting Strategy against Jamming Attacks for Islanded Microgrid , 2011 .

[7]  Patrick D. McDaniel,et al.  Programmable Logic Controllers , 2012 .

[8]  David Tipper,et al.  A Secure Communication Architecture for Distributed Microgrid Control , 2015, IEEE Transactions on Smart Grid.

[9]  Qinghua Li,et al.  The effects of flooding attacks on time-critical communications in the smart grid , 2015, 2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT).

[10]  Aditya Ashok,et al.  A cyber-physical security testbed for smart grid: system architecture and studies , 2011, CSIIRW '11.

[11]  Scott A. DeLoach,et al.  Towards a Theory of Moving Target Defense , 2014, MTD '14.

[12]  Zhu Han,et al.  Detecting False Data Injection Attacks on Power Grid by Sparse Optimization , 2014, IEEE Transactions on Smart Grid.

[13]  Jianfeng Ma,et al.  Authentication and Integrity in the Smart Grid: An Empirical Study in Substation Automation Systems , 2012, Int. J. Distributed Sens. Networks.

[14]  Emmanuel Van Lil,et al.  A Robust Semantic Overlay Network for Microgrid Control Applications , 2008, WADS.

[15]  Stephen Elliot McLaughlin Specification-based Attacks and Defenses in Sequential Control Systems , 2014 .

[16]  Aditya Ashok,et al.  Cyber-Physical Security Testbeds: Architecture, Application, and Evaluation for Smart Grid , 2013, IEEE Transactions on Smart Grid.

[17]  Béla Genge,et al.  Developing cyber-physical experimental capabilities for the security analysis of the future Smart Grid , 2011, 2011 2nd IEEE PES International Conference and Exhibition on Innovative Smart Grid Technologies.

[18]  Peng Ning,et al.  False data injection attacks against state estimation in electric power grids , 2011, TSEC.

[19]  Ali Feliachi,et al.  Proposing an improved optimal LQR controller for frequency regulation of a smart microgrid in case of cyber intrusions , 2014, 2014 IEEE 27th Canadian Conference on Electrical and Computer Engineering (CCECE).

[20]  Klara Nahrstedt,et al.  Detecting False Data Injection Attacks on DC State Estimation , 2010 .

[21]  Zhihua Qu,et al.  Enhanced protection against false data injection by dynamically changing information structure of microgrids , 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop (SAM).