DocumentCode
1306282
Title
Repair-unit location models for power failures
Author
Yao, Ming-Jong ; Min, K. Jo
Author_Institution
Operations Res., North Carolina State Univ., Raleigh, NC, USA
Volume
45
Issue
1
fYear
1998
fDate
2/1/1998 12:00:00 AM
Firstpage
57
Lastpage
65
Abstract
Extreme weather conditions such as ice storms often cause significant damage to electric power transmission and distribution systems and result in large-scale power failures. In such cases, electric utilities need to repair the transmission and distribution systems as expeditiously and economically as possible. In this paper, for the electric utilities, the authors present three mathematical goal programming models: (1) a tactical model that provides the optimal repair-unit dispatch plan after a forecast of severe weather conditions; (2) a short-term strategic model that provides the optimal repair-unit location plan under normal weather conditions; and (3) a long-term strategic model that provides the optimal number of repair units. These models will assist electric utilities to locate and dispatch repair units and to restore the transmission and distribution failures efficiently. The authors illustrate some features of these models with a numerical example. Finally, a comparative study shows how these models could be more efficient than a modified conventional model
Keywords
electrical faults; electricity supply industry; maintenance engineering; management; mathematical programming; power system planning; power system restoration; distribution systems; electric utilities; long-term strategic model; maintenance planning; mathematical goal programming models; power system failures; repair-unit location models; short-term strategic model; supply restoration management; tactical model; transmission systems; Economic forecasting; Ice; Large-scale systems; Mathematical model; Power industry; Power system economics; Power system modeling; Predictive models; Storms; Weather forecasting;
fLanguage
English
Journal_Title
Engineering Management, IEEE Transactions on
Publisher
ieee
ISSN
0018-9391
Type
jour
DOI
10.1109/17.658661
Filename
658661
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