Literature DB >> 30699236

Agent-Based Recovery Model for Seismic Resilience Evaluation of Electrified Communities.

Li Sun1, Bozidar Stojadinovic1, Giovanni Sansavini2.   

Abstract

In this article, an agent-based framework to quantify the seismic resilience of an electric power supply system (EPSS) and the community it serves is presented. Within the framework, the loss and restoration of the EPSS power generation and delivery capacity and of the power demand from the served community are used to assess the electric power deficit during the damage absorption and recovery processes. Damage to the components of the EPSS and of the community-built environment is evaluated using the seismic fragility functions. The restoration of the community electric power demand is evaluated using the seismic recovery functions. However, the postearthquake EPSS recovery process is modeled using an agent-based model with two agents, the EPSS Operator and the Community Administrator. The resilience of the EPSS-community system is quantified using direct, EPSS-related, societal, and community-related indicators. Parametric studies are carried out to quantify the influence of different seismic hazard scenarios, agent characteristics, and power dispatch strategies on the EPSS-community seismic resilience. The use of the agent-based modeling framework enabled a rational formulation of the postearthquake recovery phase and highlighted the interaction between the EPSS and the community in the recovery process not quantified in resilience models developed to date. Furthermore, it shows that the resilience of different community sectors can be enhanced by different power dispatch strategies. The proposed agent-based EPSS-community system resilience quantification framework can be used to develop better community and infrastructure system risk governance policies.
© 2019 Society for Risk Analysis.

Entities:  

Keywords:  Agent-based model; demand; earthquake disaster; electric power supply system (EPSS); resilience; seismic contingency dispatch strategy; seismic recovery; supply

Year:  2019        PMID: 30699236     DOI: 10.1111/risa.13277

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  2 in total

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Authors:  Li Sun; John Shawe-Taylor; Dina D'Ayala
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  2 in total

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