As a guest user you are not logged in or recognized by your IP address. You have
access to the Front Matter, Abstracts, Author Index, Subject Index and the full
text of Open Access publications.
This paper studies the joint damage assessment and recovery of the power infrastructure after a natural disaster has occurred. Earlier work in this area proposed an optimization algorithm for the recovery phase, assuming that the infrastructure damage was known precisely. This paper lifts this assumption which does not always hold in practice. It proposes three approaches to this problem: An online stochastic optimization algorithm, a 2-stage algorithm that first evaluates the damage and then perform restoration, and a hybridization of both approaches. Each of these approaches use information produced by weather and fragility simulation tools that provide potential damage scenarios for the disaster. Experimental results on natural disaster scenarios for the US infrastructure indicate that online stochastic combinatorial optimization provides high-quality solutions to the joint damage assessment and recovery problem.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.
This website uses cookies
We use cookies to provide you with the best possible experience. They also allow us to analyze user behavior in order to constantly improve the website for you. Info about the privacy policy of IOS Press.