4.7 Article

Metrics and Quantification of Operational and Infrastructure Resilience in Power Systems

Journal

IEEE TRANSACTIONS ON POWER SYSTEMS
Volume 32, Issue 6, Pages 4732-4742

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRS.2017.2664141

Keywords

Critical infrastructure; extreme weather; high impact low probability event; power systems resilience; power systems resiliency

Funding

  1. UK EPSRC through RESNET project [EP/I035757/1]
  2. UK EPSRC through Disaster management and resilience in electric power systems project [EP/N034899/1]
  3. Engineering and Physical Sciences Research Council [EP/N034899/1, EP/I035781/1, EP/I035757/1] Funding Source: researchfish
  4. EPSRC [EP/I035781/1, EP/I035757/1, EP/N034899/1] Funding Source: UKRI

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Resilience to high impact low probability events is becoming of growing concern, for instance to address the impacts of extreme weather on critical infrastructures worldwide. However, there is, as yet, no clear methodology or set of metrics to quantify resilience in the context of power systems and in terms of both operational and infrastructure integrity. In this paper, the resilience trapezoid is therefore introduced which extends the resilience triangle that is traditionally used in existing studies, in order to consider the different phases that a power system may experience during an extreme event. The resilience trapezoid is then quantified using time-dependent resilience metrics that are specifically introduced to help capture the critical system degradation and recovery features associated to the trapezoid for different temporal phases of an event. Further, we introduce the concepts of operational resilience and infrastructure resilience to gain additional insights in the system response. Different structural and operational resilience enhancement strategies are then analyzed using the proposed assessment framework, considering single and multiple severe windstorm events that hit the 29-bus Great Britain transmission network test case. The results clearly highlight the capability of the proposed framework and metrics to quantify power system resilience and relevant enhancement strategies.

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