Vulnerability of Smart Grids With Variable Generation and Consumption: A System of Systems Perspective

This paper looks into the vulnerabilities of the electric power grid and associated communication network, in the face of intermittent power generation and uncertain demand within a complex network framework of analysis of smart grids. The perspective is typical for the system of systems analysis of interdependencies in a critical infrastructure (CI), i.e., the smart grid for electricity distribution. We assess how the integration of the two systems copes with requests to increase power generation due to enhanced power consumption at a load bus. We define adequate measures of vulnerability to identify the most limiting communication time delays. We quantify the probability that a reduction in the functionality of the communication system yields a faulty condition in the electric power grid, and find that a factual indicator to quantify the coupling strength between the two networks is the frequency of load-shedding actions due to excessive communication time delay. We evaluate safety margins with respect to communication specifications, i.e., the data rate of the network, to comply with the safety requirements in the electric power grid. Finally, we find a catastrophic phase transition with respect to this parameter, which affects the safe operation of the CI.

[1]  Robert M. Metcalfe Packet Communication , 1996 .

[2]  Michael Devetsikiotis,et al.  A Framework for Optimizing Measurement-Based Power Distribution under Communication Network Constraints , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[3]  Ehab F. El-Saadany,et al.  Overview of wind power intermittency impacts on power systems , 2010 .

[4]  Congfeng Jiang,et al.  Grid computing based large scale Distributed Cooperative Virtual Environment Simulation , 2008, 2008 12th International Conference on Computer Supported Cooperative Work in Design.

[5]  G. Manimaran,et al.  Cybersecurity for Critical Infrastructures: Attack and Defense Modeling , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[6]  José M. F. Moura,et al.  Modeling of Future Cyber–Physical Energy Systems for Distributed Sensing and Control , 2010, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[7]  Petter Holme Edge overload breakdown in evolving networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[8]  James Lewis,et al.  Natural Hazards - Local, National and Global , 1976 .

[9]  Dong Yue,et al.  Output Feedback Control of Discrete-Time Systems in Networked Environments , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[10]  Enrico Zio,et al.  Vulnerable Systems , 2011 .

[11]  Bruce W. Schmeiser,et al.  Omitting Meaningless Digits in Point Estimates: The Probability Guarantee of Leading-Digit Rules , 2009, Oper. Res..

[12]  Mauricio Barahona,et al.  Spectral Measure of Structural Robustness in Complex Networks , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[13]  Wei-Chang Yeh An Improved Method for Multistate Flow Network Reliability With Unreliable Nodes and a Budget Constraint Based on Path Set , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[14]  D. Fischer,et al.  Developing a communication infrastructure for the Smart Grid , 2009, 2009 IEEE Electrical Power & Energy Conference (EPEC).

[15]  G.T. Heydt,et al.  Latency Viewed as a Stochastic Process and its Impact on Wide Area Power System Control Signals , 2008, IEEE Transactions on Power Systems.

[16]  Eduardo Camponogara,et al.  Distributed model predictive control , 2002 .

[17]  S. Conti,et al.  Probabilistic load flow using Monte Carlo techniques for distribution networks with photovoltaic generators , 2007 .

[18]  Rae Zimmerman,et al.  Social Implications of Infrastructure Network Interactions , 2001 .

[19]  Jonas Johansson,et al.  An approach for modelling interdependent infrastructures in the context of vulnerability analysis , 2010, Reliab. Eng. Syst. Saf..

[20]  Ali Tizghadam,et al.  Betweenness centrality and resistance distance in communication networks , 2010, IEEE Network.

[21]  Vito Latora,et al.  Modeling cascading failures in the North American power grid , 2005 .

[22]  Adilson E Motter,et al.  Cascade-based attacks on complex networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Seth Blumsack,et al.  A Centrality Measure for Electrical Networks , 2008, Proceedings of the 41st Annual Hawaii International Conference on System Sciences (HICSS 2008).

[24]  Steven M. Rinaldi,et al.  Modeling and simulating critical infrastructures and their interdependencies , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[25]  James Moyne,et al.  Performance evaluation of control networks: Ethernet, ControlNet, and DeviceNet , 2001 .

[26]  Jon M. Peha,et al.  The Many Meanings of 'Smart Grid' , 2009 .

[27]  Vittorio Rosato,et al.  Topological properties of high-voltage electrical transmission networks , 2007 .

[28]  Jozef Hooman,et al.  Co-simulation of Distributed Embedded Real-Time Control Systems , 2007, IFM.

[29]  Scott D. Sudhoff,et al.  Metric Optimization-Based Design of Systems Subject to Hostile Disruptions , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[30]  Anna Scaglione,et al.  For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid , 2010, Proceedings of the IEEE.

[31]  Yong Wang,et al.  Effects of Uncertainty in Both Component Reliability and Load Demand on Multistate System Reliability , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[32]  Rosaldo J. F. Rossetti,et al.  A Cooperative Simulation Framework for Traffic and Transportation Engineering , 2008, CDVE.

[33]  Jurgen Heckel Smart substation and feeder automation for a SMART distribution grid , 2009 .

[34]  Hamidreza Zareipour,et al.  Wireless network performance for residential demand-side participation , 2010, 2010 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe).

[35]  Satoshi Kanai,et al.  A cooperative simulation mechanism of distributed control systems based on object-oriented design patterns , 2003, Sixth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, 2003..

[36]  Ia An N Do A LOADING-DEPENDENT MODEL OF PROBABILISTIC CASCADING FAILURE , 2005 .

[37]  R. Giovanini,et al.  EPOCHS: a platform for agent-based electric power and communication simulation built from commercial off-the-shelf components , 2006, IEEE Transactions on Power Systems.

[38]  Balasubramaniam Natarajan,et al.  Optimal Control-Based Strategy for Sensor Deployment , 2011, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.