Structural vulnerability analysis of electric power distribution grids

Power grid outages cause huge economical and societal costs. Disruptions in the power distribution grid are responsible for a significant fraction of electric power unavailability to customers. The impact of extreme weather conditions, continuously increasing demand, and the over-ageing of assets in the grid, deteriorates the safety of electric power delivery in the near future. It is this dependence on electric power that necessitates further research in the power distribution grid security assessment. Thus measures to analyze the robustness characteristics and to identify vulnerabilities as they exist in the grid are of utmost importance. This research investigates exactly those concepts- the vulnerability and robustness of power distribution grids from a topological point of view, and proposes a metric to quantify them with respect to assets in a distribution grid. Real-world data is used to demonstrate the applicability of the proposed metric as a tool to assess the criticality of assets in a distribution grid.

[1]  P. Hilber,et al.  Component reliability importance indices for electrical networks , 2007, 2007 International Power Engineering Conference (IPEC 2007).

[2]  N. Taylor,et al.  Identifying Critical Components for Transmission System Reliability , 2012, IEEE Transactions on Power Systems.

[3]  R. Pastor-Satorras,et al.  Critical load and congestion instabilities in scale-free networks , 2003 .

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

[5]  Seth Blumsack,et al.  Comparing the Topological and Electrical Structure of the North American Electric Power Infrastructure , 2011, IEEE Systems Journal.

[6]  Piet Van Mieghem,et al.  Graph Spectra for Complex Networks , 2010 .

[7]  Frans Provoost,et al.  INTELIGENT DISTRIBUTION NETWORK DESIGN , 2009 .

[8]  Frances M. T. Brazier,et al.  A robustness metric for cascading failures by targeted attacks in power networks , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[9]  Martí Rosas-Casals,et al.  Robustness of the European power grids under intentional attack. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  James S. Thorp,et al.  Analysis of electric power system disturbance data , 2001, Proceedings of the 34th Annual Hawaii International Conference on System Sciences.

[11]  Di Wu,et al.  Extended Topological Metrics for the Analysis of Power Grid Vulnerability , 2012, IEEE Systems Journal.

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

[13]  Marco Aiello,et al.  The Power Grid as a Complex Network: a Survey , 2011, ArXiv.

[14]  Johan Setréus,et al.  Identifying critical components for system reliability in power transmission systems , 2011 .

[15]  Paul Jeffrey,et al.  Applying Network Theory to Quantify the Redundancy and Structural Robustness of Water Distribution Systems , 2012 .

[16]  Wolfgang Kröger,et al.  Performance of Electric Power Systems Under Physical Malicious Attacks , 2013, IEEE Systems Journal.

[17]  Massimo Marchiori,et al.  LOCATING CRITICAL LINES IN HIGH-VOLTAGE ELECTRICAL POWER GRIDS , 2005, The Random and Fluctuating World.

[18]  Fei Xue,et al.  Extended topological approach for the assessment of structural vulnerability in transmission networks , 2010 .

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

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

[21]  Frances M. T. Brazier,et al.  Structural vulnerability assessment of electric power grids , 2013, Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control.

[22]  Massimo Marchiori,et al.  A topological analysis of the Italian electric power grid , 2004 .

[23]  Frances M. T. Brazier,et al.  The Impact of the Topology on Cascading Failures in a Power Grid Model , 2014 .

[24]  Michael Chertkov,et al.  Predicting Failures in Power Grids: The Case of Static Overloads , 2010, IEEE Transactions on Smart Grid.

[25]  S. Massoud Amin For the Good For the Good For the Good of the Grid of the Grid of the Grid , 2008 .

[26]  E. Luiijf,et al.  THE STATE AND THE THREAT OF CASCADING FAILURE ACROSS CRITICAL INFRASTRUCTURES: THE IMPLICATIONS OF EMPIRICAL EVIDENCE FROM MEDIA INCIDENT REPORTS , 2011 .

[27]  J. Salmeron,et al.  Analysis of electric grid security under terrorist threat , 2004, IEEE Transactions on Power Systems.

[28]  Armin Schnettler,et al.  Asset management techniques , 2006 .

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

[30]  Fang Yang,et al.  A Comprehensive Approach for Bulk Power System Reliability Assessment , 2007, 2007 IEEE Lausanne Power Tech.

[31]  E. O. Negeri Smart Power Grid: A Holonic Approach , 2014 .

[32]  Patrik Hilber,et al.  Maintenance Optimization for Power Distribution Systems , 2008 .

[33]  Marco Aiello,et al.  A complex network approach for identifying vulnerabilities of the medium and low voltage grid , 2015, Int. J. Crit. Infrastructures.

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

[35]  P. Hines,et al.  Cascading failures in power grids , 2009, IEEE Potentials.

[36]  Gary W. Chang,et al.  Power System Analysis , 1994 .

[37]  Enrico Pons,et al.  Analysis of the structural vulnerability of the interconnected power grid of continental Europe with the Integrated Power System and Unified Power System based on extended topological approach , 2013 .

[38]  Marvin Rausand,et al.  System Reliability Theory , 2020, Wiley Series in Probability and Statistics.

[39]  Frances M. T. Brazier,et al.  An entropy-based metric to quantify the robustness of power grids against cascading failures , 2013 .

[40]  Mahmud Fotuhi-Firuzabad,et al.  Critical Component Identification in Reliability Centered Asset Management of Power Distribution Systems Via Fuzzy AHP , 2012, IEEE Systems Journal.

[41]  Sybil Derrible,et al.  The complexity and robustness of metro networks , 2010 .

[42]  Ricard V. Solé,et al.  Topological Vulnerability of the European Power Grid under Errors and Attacks , 2007, Int. J. Bifurc. Chaos.

[43]  Anna Scaglione,et al.  Generating Statistically Correct Random Topologies for Testing Smart Grid Communication and Control Networks , 2010, IEEE Transactions on Smart Grid.

[44]  Michael Chertkov,et al.  Exact and efficient algorithm to discover extreme stochastic events in wind generation over transmission Power Grids , 2011, IEEE Conference on Decision and Control and European Control Conference.

[45]  Z W Birnbaum,et al.  ON THE IMPORTANCE OF DIFFERENT COMPONENTS IN A MULTICOMPONENT SYSTEM , 1968 .

[46]  Fei Xue,et al.  Analysis of structural vulnerabilities in power transmission grids , 2009, Int. J. Crit. Infrastructure Prot..

[47]  Harry Eugene Stanley,et al.  The robustness of interdependent clustered networks , 2012, ArXiv.

[48]  Shi Qian,et al.  Evaluation of network resilience, survivability, and disruption tolerance: analysis, topology generation, simulation, and experimentation , 2013, Telecommun. Syst..

[49]  Richard E. Korf,et al.  Linear-Space Best-First Search , 1993, Artif. Intell..

[50]  Michael Schwan,et al.  RELIABILITY CENTERED ASSET MANAGEMENT IN DISTRIBUTION NETWORKS - PROCESS AND APPLICATION EXAMPLES - , 2007 .

[51]  Marco Aiello,et al.  Towards Decentralization: A Topological Investigation of the Medium and Low Voltage Grids , 2011, IEEE Transactions on Smart Grid.