• DocumentCode
    1148391
  • Title

    Market-based transmission expansion planning

  • Author

    Buygi, Majid Oloomi ; Balzer, Gerd ; Shanechi, Hasan Modir ; Shahidehpour, Mohammad

  • Author_Institution
    Dept. of Electr. Eng., Ferdowsi Univ., Mashhad, Iran
  • Volume
    19
  • Issue
    4
  • fYear
    2004
  • Firstpage
    2060
  • Lastpage
    2067
  • Abstract
    Restructuring and deregulation has exposed transmission planner to new objectives and uncertainties. Therefore, new criteria and approaches are needed for transmission planning in deregulated environments. A new market-based approach for transmission planning in deregulated environments is presented in this paper. The main contribution of this research is: i) introducing a new probabilistic tool, named probabilistic locational marginal prices, for computing the probability density functions of nodal prices; ii) defining new market-based criteria for transmission expansion planning in deregulated environments; and iii) presenting a new approach for transmission expansion planning in deregulated environments using the above tool and criteria. The advantages of this approach are: i) it encourages and facilitates competition among all participants; ii) it provides nondiscriminatory access to cheap generation for all consumers; iii) it considers all random and nonrandom power system uncertainties and selects the final plan after risk assessment of all solutions; and iv) it is value based and considers investment cost, operation cost, congestion cost, load curtailment cost, and cost caused by system unreliability. The presented approach is applied to IEEE 30-bus test system.
  • Keywords
    power markets; power transmission economics; power transmission planning; power transmission reliability; pricing; probability; risk management; IEEE 30-bus test system; congestion cost; investment cost; load curtailment cost; market-based criteria; market-based transmission expansion planning; operation cost; power system uncertainty; probabilistic locational marginal price; probability density function; risk assessment; system unreliability cost; Costs; Power generation; Power system analysis computing; Power system modeling; Power system planning; Power system reliability; Power systems; Risk management; Statistical distributions; Uncertainty; 65; Competitive electric markets; Monte Carlo methods; power transmission planning; price profile; risk analysis; scenario techniques; uncertainty;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2004.836252
  • Filename
    1350848