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

## TL;DR

This paper introduces an agent-based framework to evaluate seismic resilience of electrified communities by modeling the interaction between power systems and community recovery processes, providing insights for better risk management.

## Contribution

It presents a novel agent-based modeling approach that captures the dynamic recovery interactions between electric power systems and communities after earthquakes.

## Key findings

- Agent-based model highlights the interaction effects in recovery processes.
- Power dispatch strategies influence community resilience.
- Seismic hazard scenarios affect system recovery dynamics.

## Abstract

In this paper, 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 post-earthquake 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, and societal, 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 post-earthquake 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.

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Source: https://tomesphere.com/paper/1901.03445