Transmission system restoration with co-optimization of repairs, load pickups, and generation dispatch
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Coffrin, Carleton; Van Hentenryck, Pascal
Description
This paper studies the restoration of a transmission system after a significant disruption such as a natural disaster. It considers the co-optimization of repairs, load pickups, and generation dispatch to produce a sequencing of the repairs that minimizes the size of the blackout over time. The core of this process is a Restoration Ordering Problem (ROP), a non-convex mixed-integer nonlinear program that is outside the capabilities of existing solver technologies. To address this computational...[Show more]
dc.contributor.author | Coffrin, Carleton | |
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dc.contributor.author | Van Hentenryck, Pascal | |
dc.date.accessioned | 2015-06-19T05:00:03Z | |
dc.date.available | 2015-06-19T05:00:03Z | |
dc.identifier.issn | 0142-0615 | |
dc.identifier.uri | http://hdl.handle.net/1885/14023 | |
dc.description.abstract | This paper studies the restoration of a transmission system after a significant disruption such as a natural disaster. It considers the co-optimization of repairs, load pickups, and generation dispatch to produce a sequencing of the repairs that minimizes the size of the blackout over time. The core of this process is a Restoration Ordering Problem (ROP), a non-convex mixed-integer nonlinear program that is outside the capabilities of existing solver technologies. To address this computational barrier, the paper examines two approximations of the power flow equations: The DC model and the recently proposed LPAC model. Systematic, large-scale testing indicates that the DC model is not sufficiently accurate for solving the ROP. In contrast, the LPAC power flow model, which captures line losses, reactive power, and voltage magnitudes, is sufficiently accurate to obtain restoration plans that can be converted into AC-feasible power flows. An experimental study also suggests that the LPAC model provides a robust and appealing tradeoff between accuracy and computational performance for solving the ROP. | |
dc.description.sponsorship | This work was conducted in part at NICTA and is funded by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Centre of Excellence Program. | |
dc.publisher | Elsevier | |
dc.rights | © 2015 Published by Elsevier Ltd. | |
dc.source | International Journal of Electrical Power & Energy Systems | |
dc.subject | Power system restoration | |
dc.subject | Load pickup | |
dc.subject | AC power flow | |
dc.subject | LPAC power flow | |
dc.subject | Optimization | |
dc.title | Transmission system restoration with co-optimization of repairs, load pickups, and generation dispatch | |
dc.type | Journal article | |
local.identifier.citationvolume | 72 | |
dcterms.dateAccepted | 2015-02-16 | |
dc.date.issued | 2015-03-30 | |
local.identifier.absfor | 080501 - Distributed and Grid Systems | |
local.identifier.ariespublication | a383154xPUB3030 | |
local.publisher.url | http://www.elsevier.com/ | |
local.type.status | Published Version | |
local.contributor.affiliation | Coffrin, C., College of Engineering and Computer Science, The Australia National University | |
local.contributor.affiliation | Van Hentenryck, P., College of Engineering and Computer Science, The Australia National University | |
local.bibliographicCitation.startpage | 144 | |
local.bibliographicCitation.lastpage | 154 | |
local.identifier.doi | 10.1016/j.ijepes.2015.02.027 | |
local.identifier.absseo | 861604 - Integrated Systems | |
local.identifier.absseo | 970108 - Expanding Knowledge in the Information and Computing Sciences | |
dc.date.updated | 2016-06-14T08:32:05Z | |
local.identifier.scopusID | 2-s2.0-84937761169 | |
Collections | ANU Research Publications |
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