• DocumentCode
    816596
  • Title

    Security-Constrained Resource Planning in Electricity Markets

  • Author

    Roh, Jae Hyung ; Shahidehpour, Mohammad ; Fu, Yong

  • Author_Institution
    Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL
  • Volume
    22
  • Issue
    2
  • fYear
    2007
  • fDate
    5/1/2007 12:00:00 AM
  • Firstpage
    812
  • Lastpage
    820
  • Abstract
    We propose a security-based competitive generation resource planning model in electricity markets. The objective of the model is to introduce the impact of transmission security in a multi-GENCO generation resource planning. The proposed approach is based on effective decomposition and coordination strategies. Lagrangian relaxation and Benders decomposition are applied to decompose the original planning problem into tractable optimization subproblems. Locational price signal and security signal are defined for the simulation of competition among GENCOs and the coordination of security between GENCOs and the regulatory body (ISO). The numerical examples exhibit the effectiveness of the proposed generation planning model in electricity markets
  • Keywords
    numerical analysis; power generation economics; power generation planning; power generation protection; power markets; pricing; Benders decomposition; ISO; Lagrangian relaxation; electricity markets; locational price signal; multiGENCO; security signal; security-constrained resource planning; tractable optimization subproblems; transmission security; Costs; Electricity supply industry; ISO; Investments; Lagrangian functions; Meeting planning; Power generation; Power system modeling; Security; Technology planning; Benders decomposition; Lagrangian relaxation; competitive electricity markets; generation resource planning; mixed integer programming; transmission security;
  • fLanguage
    English
  • Journal_Title
    Power Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8950
  • Type

    jour

  • DOI
    10.1109/TPWRS.2007.895174
  • Filename
    4162617