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Statistical trend tests for resilience of power systems

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  • Shen, Lijuan
  • Cassottana, Beatrice
  • Tang, Loon Ching

Abstract

Through applications of relevant trend tests in the context of resilience analysis, this study conducts an empirical evaluation on the resilience of the U.S. power grid based on the database of the Electric Disturbance Events. To assess trends in systems resilience, we look into three key components associated with each black-out and recovery of power systems, i.e., the time between disruptions, the performance loss of each disruption and the time needed for recovery. We present a combined measure that takes into account all the three components. A modified Lewis–Robinson test is then developed for trend detection in this combined measure. To support the trend analysis of this combined measure, we further perform trend test for the performance loss and the recovery time. It is found that, among various North American Electric Reliability Corporation (NERC) regions of the U.S. power grid, the resilience in the Northeast Power Coordinating Council (NPCC) region has become better. Empirical evidence from the government financial support is used to substantiate these statistical findings.

Suggested Citation

  • Shen, Lijuan & Cassottana, Beatrice & Tang, Loon Ching, 2018. "Statistical trend tests for resilience of power systems," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 138-147.
    • Handle: RePEc:eee:reensy:v:177:y:2018:i:c:p:138-147
    DOI: 10.1016/j.ress.2018.05.006
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    1. Shafieezadeh, Abdollah & Ivey Burden, Lindsay, 2014. "Scenario-based resilience assessment framework for critical infrastructure systems: Case study for seismic resilience of seaports," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 207-219.
    2. Chassin, David P. & Posse, Christian, 2005. "Evaluating North American electric grid reliability using the Barabási–Albert network model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(2), pages 667-677.
    3. Roege, Paul E. & Collier, Zachary A. & Mancillas, James & McDonagh, John A. & Linkov, Igor, 2014. "Metrics for energy resilience," Energy Policy, Elsevier, vol. 72(C), pages 249-256.
    4. Francis, Royce & Bekera, Behailu, 2014. "A metric and frameworks for resilience analysis of engineered and infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 90-103.
    5. van der Weide, J.A.M. & Pandey, Mahesh D., 2015. "A stochastic alternating renewal process model for unavailability analysis of standby safety equipment," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 97-104.
    6. Winkler, James & Dueñas-Osorio, Leonardo & Stein, Robert & Subramanian, Devika, 2010. "Performance assessment of topologically diverse power systems subjected to hurricane events," Reliability Engineering and System Safety, Elsevier, vol. 95(4), pages 323-336.
    7. J. Park & T. P. Seager & P. S. C. Rao & M. Convertino & I. Linkov, 2013. "Integrating Risk and Resilience Approaches to Catastrophe Management in Engineering Systems," Risk Analysis, John Wiley & Sons, vol. 33(3), pages 356-367, March.
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