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Scheduling Post-disaster Repairs in Electricity Distribution Networks with Uncertain Repair Times

Published: 03 May 2020 Publication History

Abstract

Natural disasters, such as hurricanes, large wind and ice storms, typically require the repair of a large number of com- ponents in electricity distribution networks. Since power cannot be restored before the completion of repairs, optimally scheduling the available crews to minimize the cu- mulative duration of the customer interruptions reduces the harm done to the affected community. We have previously proposed approximation algorithms to schedule post-disaster repairs in electricity distribution networks with complete damage information[1]. In this paper, we extend our pre- vious work to the case with incomplete damage information. We model this problem as scheduling a set of jobs with stochastic processing times on parallel identical machines in order to minimize the total weighted energization time. A linear programming (LP) based list scheduling pol- icy is proposed and then analyzed in terms of theoretical performance.

References

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Y.Tan, F.Qiu, A.K. Das, D.S. Kirschen, P. Arabshahi, and J. Wang. Scheduling Post-Disaster Repairs in Electricity Distribution Networks. ArXiv e-prints arXiv:1702.08382, February2017.
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Yushi Tan,Arindam K. Das,Mareldi Ahumada-Paras, Payman Arabshahi,and Daniel S. Kirschen. Scheduling post-disaster repairs in electricity distribution networks with uncertain repair times. http://www.optimization-online.org/DB_FILE/ 2019/08/7344.pdf, 2019.

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Published In

cover image ACM SIGMETRICS Performance Evaluation Review
ACM SIGMETRICS Performance Evaluation Review  Volume 47, Issue 4
March 2020
25 pages
ISSN:0163-5999
DOI:10.1145/3397776
Issue’s Table of Contents
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 May 2020
Published in SIGMETRICS Volume 47, Issue 4

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