Representation and modeling of the Chilean electric power network for seismic resilience analysis
Date
2020
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Abstract
Electric Power Networks (EPNs) are exposed to the occurrence of highly disruptive natural events such as large earthquakes. The physical damage to EPN components due to seismic events can seriously compromise the ability to generate, transmit, and distribute electricity to final users and to other interconnected critical infrastructures. In this context, resilience analysis is fundamental to identify the key components at risk to sustain or quickly restore the EPN functionality. This work presents a first step in the development of a detailed Chilean EPN model and illustrates an analysis framework to assess its resilience under the occurrence of earthquake scenarios. Specifically, the Chilean EPN model is built at a high level of detail using several Chilean data sources. Then, resilience of the network is assessed in four main steps: (1) generation of local intensity levels at the component sites; (2) evaluation of the earthquake impact on the EPN components using their fragilities; (3) evaluation of the component recovery time using downtime distributions; and (4) estimation of the EPN performance by means of simulating an optimal power flow model throughout the restoration process until service is fully restored. Results are expected to contribute toward a more resilient Chilean power network under seismic action.
Description
Keywords
Electric power networks, Resilience, Earthquakes, Fragility curves, Monte Carlo simulation