A complex network theory analytical approach to power system cascading failure-From a cyber-physical perspective.

The modern electric power grid is evolving rapidly into such a state that distributed controllers and two-way energy and information flow are replacing the traditional paradigm of electricity distribution and energy management. Therefore, a power grid coupled with a communication network is playing a pivotal role in establishing modern electric power systems. Previous cascading failure analysis in power systems focused more on the physical network, while falling short of investigations on the coupling effect of interdependency of the integrated electricity and communication networks, i.e., cyber-physical power systems. To address such a pressing issue, this study introduces a novel stochastic cascading failure model, considering the interdependency between the cyber network and power network. A multiagent system and a novel protection relay model are incorporated into the proposed model. To apply the proposed analytical method, a test power system, the IEEE 68-bs power system, is used to study the impacts of a range of interdependencies and cyber network topological structures on the cascading failure. Simulation results show the necessity and effects of consideration of cyber communication network when investigating power system cascading failures. The study also provides useful information on robustness and vulnerability of a particular power grid, given different communication topologies and interdependencies.

[1]  S.D.J. McArthur,et al.  Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges , 2007, IEEE Transactions on Power Systems.

[2]  Xinghuo Yu,et al.  Smart Grids: A Cyber–Physical Systems Perspective , 2016, Proceedings of the IEEE.

[3]  Harry Eugene Stanley,et al.  Catastrophic cascade of failures in interdependent networks , 2009, Nature.

[4]  Jia Guo,et al.  Modeling and Vulnerability Analysis of Cyber-Physical Power Systems Considering Network Topology and Power Flow Properties , 2017 .

[5]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[6]  Shengwei Mei,et al.  Invulnerability of power grids based on maximum flow theory , 2016 .

[7]  K. Schneider,et al.  Assessment of interactions between power and telecommunications infrastructures , 2006, IEEE Transactions on Power Systems.

[8]  Yong Li,et al.  Modeling and impact analysis of interdependent characteristics on cascading failures in smart grids , 2017 .

[9]  Zhao Yang Dong,et al.  Will electrical cyber–physical interdependent networks undergo first-order transition under random attacks? , 2016 .

[10]  D. Gillespie Exact Stochastic Simulation of Coupled Chemical Reactions , 1977 .

[11]  Chi K. Tse,et al.  Modeling the Dynamics of Cascading Failures in Power Systems , 2017, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[12]  Kai Sun,et al.  Efficient Estimation of Component Interactions for Cascading Failure Analysis by EM Algorithm , 2018, IEEE Transactions on Power Systems.

[13]  C. K. Michael Tse,et al.  Assessment of Robustness of Power Systems From a Network Perspective , 2015, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[14]  Paul Hines,et al.  Reducing Cascading Failure Risk by Increasing Infrastructure Network Interdependence , 2014, Scientific Reports.

[15]  Jiajia Song,et al.  Dynamic Modeling of Cascading Failure in Power Systems , 2014, IEEE Transactions on Power Systems.

[16]  Chi K. Tse,et al.  Effects of Cyber Coupling on Cascading Failures in Power Systems , 2017, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[17]  Benjamin A Carreras,et al.  Complex systems analysis of series of blackouts: cascading failure, critical points, and self-organization. , 2007, Chaos.

[18]  Albert,et al.  Emergence of scaling in random networks , 1999, Science.

[19]  C. Singh,et al.  A practical approach for integrated power system vulnerability analysis with protection failures , 2004, IEEE Transactions on Power Systems.

[20]  Guanrong Chen,et al.  Complex networks: small-world, scale-free and beyond , 2003 .

[21]  Réka Albert,et al.  Structural vulnerability of the North American power grid. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  M. Ouyang Comparisons of purely topological model, betweenness based model and direct current power flow model to analyze power grid vulnerability. , 2013, Chaos.

[23]  D. Gillespie A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions , 1976 .

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

[25]  Chi K. Tse,et al.  A general stochastic model for studying time evolution of transition networks , 2016 .