• DocumentCode
    908459
  • Title

    Optimal transformer allocation under single-contingency

  • Author

    Leung, Lawrence C. ; Khator, Suresh K. ; Pence, J.

  • Author_Institution
    Chinese Univ. of Hong Kong, Shatin, Hong Kong
  • Volume
    11
  • Issue
    2
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    1046
  • Lastpage
    1051
  • Abstract
    Under the single-contingency environment where interdependencies are inherent, allocating power transformers to substations ought to take on a system approach. In this paper, the authors present a multi-year mathematical programming model which determines the optimal allocation of transformers over a planning horizon. The possibility of relocating transformers from substations with low utilizations is explicitly explored. To meet load demand, the model identifies the least-cost allocation and/or relocation of transformers. It ensures that each substation´s single-contingency capacity exceeds its load forecast. The alternatives to be evaluated include combinations of: additions via purchase; relocations from a transformer storage; and relocations within the network. Fort Myers, a small district of Florida Power and Light (USA), is studied as a case example
  • Keywords
    costing; economics; mathematical programming; power system planning; power transformers; substations; transformer substations; least-cost allocation; load demand; multi-year mathematical programming model; optimal transformer allocation; power transformers; relocation; single-contingency; substations; transformer storage; Costs; Economic forecasting; Electrical equipment industry; Engineering management; Industrial economics; Load forecasting; Load modeling; Mathematical model; Mathematical programming; Power generation economics; Power system modeling; Power system planning; Power transformers; Procurement; Substations; Systems engineering and theory; Timing;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/59.496193
  • Filename
    496193