• DocumentCode
    1144865
  • Title

    Solving the revenue reconciliation problem of distribution network providers using long-term marginal prices

  • Author

    De Leão, Maria Teresa Ponce ; Saraiva, João Tomé

  • Author_Institution
    the Inst. de Engenharia de Sistemas e Computadores do Porto, Faculdade de Engenharia da Univ. do Porto, Portugal
  • Volume
    18
  • Issue
    1
  • fYear
    2003
  • fDate
    2/1/2003 12:00:00 AM
  • Firstpage
    339
  • Lastpage
    345
  • Abstract
    In this paper, the authors describe an integrated methodology to compute long-term marginal prices in distribution networks. Long-term marginal prices are considered the most interesting and economically sound way of allocating network costs to users. Additionally, they inherently deal with the revenue reconciliation problem, as they generally do not require other large supplementary tariff terms. The proposed methodology uses fuzzy sets to model uncertainties in load forecasts and considers several criteria to guide the identification of solutions. At the end, there is a final decision-making step to select the most adequate expansion plan according to the preferences of the decision maker.
  • Keywords
    costing; fuzzy set theory; power distribution economics; power markets; tariffs; distribution network providers; electricity markets; fuzzy sets; long-term marginal prices; network cost allocation; revenue reconciliation problem; uncertainty modelling; Computer networks; Costs; Decision making; Distributed computing; Economic forecasting; Fuzzy sets; Load forecasting; Load modeling; Predictive models; Uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2002.807076
  • Filename
    1178816