• 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