• DocumentCode
    1388704
  • Title

    Short-term transmission line maintenance scheduling in a deregulated system

  • Author

    Marwali, M.K.C. ; Shahidehpour, S.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
  • Volume
    15
  • Issue
    3
  • fYear
    2000
  • fDate
    8/1/2000 12:00:00 AM
  • Firstpage
    1117
  • Lastpage
    1124
  • Abstract
    In this paper, the authors present a decomposition approach based on duality theory for line maintenance scheduling with transmission and voltage constraints. The given formulation consists of a master program and sub-problems with two independent programming. In the master problem, the maintenance problem is solved and in the subproblems, the transmission and voltage problems are solved independently. Since canceling a transaction or purchasing reactive power relates to the loss of revenue, the trade-off between maintenance cost and revenue loss will be optimized in the proposed method. The test results on the modified IEEE 118-bus system demonstrate that limits on transmission and voltage affect the line maintenance scheduling and increase the maintenance cost. While introducing the loss of revenue as one of the objective functions, the proposed method is flexible enough to accommodate various pricing objectives and methods
  • Keywords
    duality (mathematics); maintenance engineering; management; power system analysis computing; power system economics; power transmission lines; scheduling; tariffs; IEEE 118-bus system; computer simulation; decomposition approach; deregulated power system; duality theory; maintenance cost; pricing; reactive power purchasing; revenue loss; short-term transmission line maintenance scheduling; transaction cancellation; transmission constraints; voltage constraints; Constraint theory; Cost function; Optimization methods; Power transmission lines; Pricing; Reactive power; System testing; Transmission line theory; Transmission lines; Voltage;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.871742
  • Filename
    871742