Cascading Failure Analysis Considering Interaction Between Power Grids and Communication Networks

This paper aims to model interdependencies between power systems and dispatching data networks, and to analyze the intricate impacts on cascading failures. The functions of communication networks are embedded into dispatching data networks in China, thus we use dispatching data networks in the paper. The structures of dispatching data networks are generally categorized into two types: 1) double-star; and 2) mesh. The correlation of nodes in double-star networks and power systems is “degree to degree,” whereas “degree to betweenness” is the correlation for mesh networks. Furthermore, the interactive model between power grids and dispatching data networks is presented by a dynamic power flow model. Taking the IEEE 39-bus system and China's Guangdong 500-kV system as examples, in the case of random attacks on the interdependent system, simulation results show that the power grid coupled with double-star dispatching data networks has lower probability of catastrophic failures than with the mesh structure, because the double-star dispatching data network has outstanding capability of delivering information even though some communication nodes are out of order. In contrast, under intentional attacks, the decrement of the transmission performance of the double-star network is more serious than that in the mesh network. Therefore, the power system exhibits much higher vulnerability when coupled with the double-star network.

[1]  Ning Lu,et al.  Smart-grid security issues , 2010, IEEE Security & Privacy.

[2]  Haibo He,et al.  Multi-Contingency Cascading Analysis of Smart Grid Based on Self-Organizing Map , 2013, IEEE Transactions on Information Forensics and Security.

[3]  Duan Xian-zhong,et al.  Structural Feature Analysis of the Electric Power Dispatching Data Network , 2009 .

[4]  Yi Deng,et al.  Co-simulating power systems and communication network for accurate modeling and simulation of PMU based wide area measurement systems using a global event scheduling technique , 2013, 2013 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems (MSCPES).

[5]  B. Bollobás The evolution of random graphs , 1984 .

[6]  Bao Zhejing Analysis of cascading failures under interactions between power grid and communication network , 2013 .

[7]  Sandeep K. Shukla,et al.  Cyber security impacts on all-PMU state estimator - a case study on co-simulation platform GECO , 2012, 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm).

[8]  I. Dobson,et al.  Risk Assessment of Cascading Outages: Methodologies and Challenges , 2012, IEEE Transactions on Power Systems.

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

[10]  Dong Wei,et al.  Protecting Smart Grid Automation Systems Against Cyberattacks , 2011, IEEE Transactions on Smart Grid.

[11]  P. Erdos,et al.  On the evolution of random graphs , 1984 .

[12]  Yamir Moreno,et al.  Improved routing strategies for Internet traffic delivery. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  Ian Dobson,et al.  Cascading dynamics and mitigation assessment in power system disturbances via a hidden failure model , 2005 .

[14]  Thomas H. Morris,et al.  Modeling Cyber-Physical Vulnerability of the Smart Grid With Incomplete Information , 2013, IEEE Transactions on Smart Grid.

[15]  Fei Xue,et al.  Structural vulnerability of power systems: A topological approach , 2011 .

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

[17]  Per Hokstad,et al.  A method for risk modeling of interdependencies in critical infrastructures , 2011, Reliab. Eng. Syst. Saf..

[18]  Shi Dongyuan Transmission Characteristics Analysis of the Electric Power Dispatching Data Network , 2012 .

[19]  Akash K Singh Standards for Smart Grid , 2012 .

[20]  Nouredine Hadjsaid,et al.  ICT and power distribution modeling using complex networks , 2013, 2013 IEEE Grenoble Conference.

[21]  Zhao Shu-ma,et al.  Transmission Characteristics Analysis on the Electric Power Dispatching Data Network , 2013 .

[22]  Alessandro Vespignani,et al.  Complex networks: The fragility of interdependency , 2010, Nature.

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

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

[25]  A.K. Sinha,et al.  Identification of Catastrophic Failures in Power System Using Pattern Recognition and Fuzzy Estimation , 2009, IEEE Transactions on Power Systems.

[26]  Pingping Han,et al.  Analysis of Cascading Failures in Small-world Power Grid , 2011 .

[27]  Eytan Modiano,et al.  Robustness of interdependent networks: The case of communication networks and the power grid , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[28]  Wei Zhang,et al.  Method for evaluating the importance of power grid nodes based on PageRank algorithm , 2014 .

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

[30]  Ding Dao-qi Implementation of the smart grid in China:challenges,issues,and actions , 2011 .

[31]  Min Ouyang,et al.  Review on modeling and simulation of interdependent critical infrastructure systems , 2014, Reliab. Eng. Syst. Saf..

[32]  Cesar Ducruet,et al.  Inter-similarity between coupled networks , 2010, ArXiv.

[33]  Jean-Claude Laprie,et al.  Modelling Interdependencies Between the Electricity and Information Infrastructures , 2007, SAFECOMP.

[34]  Irene Eusgeld,et al.  "System-of-systems" approach for interdependent critical infrastructures , 2011, Reliab. Eng. Syst. Saf..

[35]  Zhejing Bao,et al.  Dynamics of load entropy during cascading failure propagation in scale-free networks , 2008 .