Campus Units

Industrial and Manufacturing Systems Engineering, Electrical and Computer Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

11-2018

Journal or Book Title

IEEE Transactions on Power Systems

Volume

33

Issue

6

First Page

6828

Last Page

6838

Research Focus Area(s)

​Operations Research

DOI

10.1109/TPWRS.2018.2855102

Abstract

This paper proposes a novel method to co-optimize the distribution system operation and repair crew routing for outage restoration after extreme weather events. A two-stage stochastic mixed integer linear program is developed. The first stage is to dispatch the repair crews to the damaged components. The second stage is distribution system restoration using distributed generators, and reconfiguration. We consider demand uncertainty in terms of a truncated normal forecast error distribution, and model the uncertainty of the repair time using a lognormal distribution. A new decomposition approach, combined with the progressive hedging algorithm, is developed for solving large-scale outage management problems in an effective and timely manner. The proposed method is validated on modified IEEE 34- and 8500-bus distribution test systems.

Comments

This is a manuscript of an article published as Arif, Anmar, Shanshan Ma, Zhaoyu Wang, Jianhui Wang, Sarah M. Ryan, and Chen Chen. "Optimizing service restoration in distribution systems with uncertain repair time and demand." IEEE Transactions on Power Systems 33, no. 6 (2018): 6828-6838. DOI: 10.1109/TPWRS.2018.2855102. Posted with permission.

Rights

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright Owner

IEEE

Language

en

File Format

application/pdf

Published Version

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