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Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems

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  • Oboudi, Mohammad Hossein
  • Mohammadi, Mohammad

Abstract

Recent natural disasters have caused significant damage to electrical distribution systems, revealing the necessity to enhance distribution system resilience. This paper proposes a two-stage method which supports Distribution System Operator (DSO) decision-making to enhance the seismic resilience of distribution systems. In the first stage, the stochastic characteristics of seismic hazards are modeled to generate artificial earthquake events. In the second stage, the objective of resilience enhancement is to minimize Energy Not Supplied (ENS), which is formulated as a knapsack problem, and Particle Swarm Optimization (PSO) is applied to solve it. The resilience enhancement candidates are classified into distribution substation, distribution line, and Distributed Energy Resources (DERs) measures. The vulnerability of distribution system components is considered through fragility curves. The impact of tall buildings collapsing on the distribution system is also considered. Fault tree analysis is applied not only to evaluate the outage of end-user customers in the electrical distribution system but also to calculate the required repair time and ENS. A modified Fussell–Vesely (FV) is proposed to assess the resilience enhancement. The proposed method is applied to a real distribution system and the effectiveness of the proposed method is examined.

Suggested Citation

  • Oboudi, Mohammad Hossein & Mohammadi, Mohammad, 2024. "Two-Stage Seismic Resilience Enhancement of Electrical Distribution Systems," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
  • Handle: RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023005495
    DOI: 10.1016/j.ress.2023.109635
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    References listed on IDEAS

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    Cited by:

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    2. Wen, Jiayi & Li, Xiaoxuan & Xue, Jingwei, 2024. "Feasibility evaluation of Copula theory for substation equipment with multiple nonlinear-related seismic response indexes," Reliability Engineering and System Safety, Elsevier, vol. 247(C).

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