• DocumentCode
    1145853
  • Title

    An analytical approach for step-by-step restoration of distribution systems following extended outages

  • Author

    Uçak, Canbolat ; Pahwa, Anil

  • Author_Institution
    EECE Dept., Kansas State Univ., Manhattan, KS, USA
  • Volume
    9
  • Issue
    3
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    1717
  • Lastpage
    1723
  • Abstract
    Loss of diversity among loads may cause cold load pickup problems after an extended outage in distribution systems. Thermostatically-controlled devices such as air-conditioners, heaters, heat pumps, water heaters etc. become the largest portion of load during restoration. In this paper, an analytical approach for restoration of distribution systems during cold load pickup is presented. A delayed exponential model is used to represent the load during cold load pickup. A thermodynamic model of a transformer is used to determine the loading limits for this type of load. Whenever loading limits are reached, sections are restored step-by-step. In step-by-step restoration, the sequence of sections restored plays an important role in total restoration time. An optimal restoration sequence of different sections of the distribution system is determined for minimum total restoration time as well as minimum customer interruption duration
  • Keywords
    distribution networks; power system computer control; power system restoration; cold load pickup; delayed exponential model; distribution automation; distribution systems; extended outage; extended outages; optimal restoration sequence; step-by-step restoration; thermodynamic model; thermostatically-controlled devices; transformer; Aggregates; Circuits; Delay; Heat pumps; Power system restoration; Power transformers; Senior members; Student members; Temperature; Water heating;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.311189
  • Filename
    311189