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Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems

The State Key Laboratory of Electrical Insulation and Power Equipment, the Shaanxi Key Laboratory of Smart Grid, Xi’an Jiaotong University, Xi’an 710049, China
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Energies 2018, 11(6), 1427; https://doi.org/10.3390/en11061427
Received: 26 April 2018 / Revised: 25 May 2018 / Accepted: 28 May 2018 / Published: 3 June 2018
(This article belongs to the Section Electrical Power and Energy System)
The frequent occurrence of natural disasters and malicious attacks has exerted unprecedented disturbances on power systems, accounting for the extensive attention paid to power system resilience. Combined with the evolving nature of general disasters, this paper proposes resilience assessment approaches for power systems under a tri-stage framework. The pre-disaster toughness is proposed to quantify the robustness of power systems against potential disasters, where the thinking of area division and partitioned multi-objective risk method (PMRM) is introduced. In the case of information deficiency caused by disasters, the during-disaster resistance to disturbance is calculated to reflect the real-time system running state by state estimation (SE). The post-disaster restoration ability consists of response ability, restoration efficiency and restoration economy, which is evaluated by Sequential Monte-Carlo Simulation to simulate the system restoration process. Further, a synthetic metric system is presented to quantify the resilience performance of power systems from the above three aspects. The proposed approaches and framework are validated on the IEEE RTS 79 system, and helpful conclusions are drawn from extensive case studies. View Full-Text
Keywords: power system; resilience assessment; Monte-Carlo Simulation; extreme weather power system; resilience assessment; Monte-Carlo Simulation; extreme weather
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MDPI and ACS Style

Zhang, H.; Yuan, H.; Li, G.; Lin, Y. Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems. Energies 2018, 11, 1427. https://doi.org/10.3390/en11061427

AMA Style

Zhang H, Yuan H, Li G, Lin Y. Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems. Energies. 2018; 11(6):1427. https://doi.org/10.3390/en11061427

Chicago/Turabian Style

Zhang, Han; Yuan, Hanjie; Li, Gengfeng; Lin, Yanling. 2018. "Quantitative Resilience Assessment under a Tri-Stage Framework for Power Systems" Energies 11, no. 6: 1427. https://doi.org/10.3390/en11061427

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