Measuring Community and Multi-Industry Impacts of Cascading Failures in Power Systems

Many economic activities strongly depend on critical infrastructure systems, especially the electric power system. Failures in the electric power infrastructure not only cause the disruption of power supply but also result in losses in productivity across other dependent industries. This paper aims to develop a framework that uniquely integrates an ac power flow based cascading failure analysis for the electric network with a multiregional, multi-industry interdependence model to quantify the short-term economic impacts of electric power disruption due to cascading failures. An ac power flow based cascading failure analysis is developed to enable the accurate reproduction and consequences estimation of a cascading event. We use the economic interdependence model to evaluate the economic impact of a cascading event taking into account spatial explicitness and cross-border effects. The economic impacts due to both the direct power supply disruption and the workforce unavailability are estimated. A case study was conducted on the Swiss electric network, accounting for the international impact on other related countries. The results provide guidance for ranking the criticality of the elements in the electric network and for identifying the vulnerable regions and economic sectors that could be strengthened through preparedness planning.

[1]  Joost R. Santos,et al.  DISASTER IMPACT AND INPUT–OUTPUT ANALYSIS , 2014 .

[2]  Kash Barker,et al.  Evaluating the Consequences of an Inland Waterway Port Closure With a Dynamic Multiregional Interdependence Model , 2012, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[3]  Leonardo Dueñas-Osorio,et al.  Probabilistic Study of Cascading Failures in Complex Interdependent Lifeline Systems , 2011 .

[4]  Alexandre Oudalov,et al.  Coordinated power flow control using facts devices , 2005 .

[5]  Ian Dobson,et al.  Estimating Propagation and Distribution of Load Shed in Simulations of Cascading Blackouts , 2012, IEEE Systems Journal.

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

[7]  Bing Li Measuring the societal and multi-industry impact of cascading failures in power systems , 2015 .

[8]  Ian Dobson,et al.  Validating OPA with WECC Data , 2013, 2013 46th Hawaii International Conference on System Sciences.

[9]  Y. Haimes,et al.  Leontief-Based Model of Risk in Complex Interconnected Infrastructures , 2001 .

[10]  Ali A. Ghorbani,et al.  The state of the art in critical infrastructure protection: a framework for convergence , 2008, Int. J. Crit. Infrastructures.

[11]  Roy Billinton,et al.  A comparison of Monte Carlo simulation techniques for composite power system reliability assessment , 1995, IEEE WESCANEX 95. Communications, Power, and Computing. Conference Proceedings.

[12]  Mario Paolone,et al.  Inter-area frequency control reserve assessment regarding dynamics of cascading outages and blackouts , 2014 .

[13]  Karen Lowrie,et al.  Ten Most Important Accomplishments in Risk Analysis, 1980–2010 , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[14]  B A Carreras,et al.  Complex dynamics of blackouts in power transmission systems. , 2004, Chaos.

[15]  D. Jayaweera,et al.  Value of Security: Modeling Time-Dependent Phenomena and Weather Conditions , 2002, IEEE Power Engineering Review.

[16]  Tschangho John Kim,et al.  Methods of Interregional and Regional Analysis , 1999 .

[17]  Peng Wang,et al.  Teaching distribution system reliability evaluation using Monte Carlo simulation , 1999 .

[18]  Joost R. Santos,et al.  Modeling the Demand Reduction Input‐Output (I‐O) Inoperability Due to Terrorism of Interconnected Infrastructures * , 2004, Risk analysis : an official publication of the Society for Risk Analysis.

[19]  R. Billinton,et al.  Composite System Adequacy Assessment Incorporating Large-Scale Wind Energy Conversion Systems Considering Wind Speed Correlation , 2009, IEEE Transactions on Power Systems.

[20]  W. Concepts of Undervoltage Load Shedding for Voltage Stability , 2004 .

[21]  Jose F. Espiritu,et al.  Component criticality importance measures for the power industry , 2007 .

[22]  W. Rebizant,et al.  The differences between IEEE and CIGRE heat balance concepts for line ampacity considerations , 2010, 2010 Modern Electric Power Systems.

[23]  D. Jayaweera,et al.  Computing the value of security , 2002 .

[24]  Enrico Zio,et al.  Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems , 2013, Reliab. Eng. Syst. Saf..

[25]  Jonas Johansson,et al.  The effect of including societal consequences for decisions on critical infrastructure vulnerability reductions , 2014 .

[26]  V. Terzija,et al.  Adaptive underfrequency load shedding based on the magnitude of the disturbance estimation , 2006, IEEE Transactions on Power Systems.

[27]  Ian A. Hiskens,et al.  Operation and Control of Electrical Power Systems , 2008 .

[28]  James A. Constantine,et al.  SysML modeling of off-the-shelf-option acquisition for risk mitigation in military programs , 2010 .

[29]  I. Kamwa,et al.  Causes of the 2003 major grid blackouts in North America and Europe, and recommended means to improve system dynamic performance , 2005, IEEE Transactions on Power Systems.

[30]  Anjan Bose,et al.  A computationally simple method for cost-efficient generation rescheduling and load shedding for congestion management , 2005 .

[31]  Thomas L. Landers,et al.  Dynamic impacts of commodity flow disruptions in inland waterway networks , 2015, Comput. Ind. Eng..

[32]  Joost R. Santos,et al.  Measuring changes in international production from a disruption: Case study of the Japanese earthquake and tsunami , 2012 .

[33]  Ilhan Kubilay Geçkil,et al.  Northeast Blackout Likely to Reduce US Earnings by $6.4 Billions , 2003 .

[34]  Yacov Y. Haimes,et al.  A Risk-based Input–Output Methodology for Measuring the Effects of the August 2003 Northeast Blackout , 2007 .

[35]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[36]  Enrico Zio,et al.  Component Criticality in Failure Cascade Processes of Network Systems , 2011, Risk analysis : an official publication of the Society for Risk Analysis.

[37]  Giovanni Sansavini,et al.  Linear implicit AC PF cascading failure analysis with power system operations and automation , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).

[38]  James E. Price,et al.  Reduced network modeling of WECC as a market design prototype , 2011, 2011 IEEE Power and Energy Society General Meeting.

[39]  F. Silvestro,et al.  Implementation and comparison of different under frequency load-shedding schemes , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).