• DocumentCode
    2313012
  • Title

    Distributed OPF of Larges Scale Interaction Power Systems

  • Author

    Huang, Shaowei ; Chen, Ying ; Shen, Chen

  • Author_Institution
    Dept. of Electr. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, a new algorithm for decentralized OPF is proposed, which is based on decomposition of KKT conditions of the global OPF. As implicit functions adopted, a boundary optimal problem is coined to formulate the global OPF in the decomposition and coordination manner. An improved inner-point method is applied to solve this boundary optimal problem, which makes use of a Jacobian-Free Newton GMRES(m) method to enhance its convergence rates as well as to reduce the communication costs. The IEEE 39 and 118 bus systems are used for case studies. Test results prove that the proposed decentralized OPF algorithm has strong convergence and requires small communication costs, which makes it feasible in wide area network environments.
  • Keywords
    Newton method; load flow; power system interconnection; IEEE 118 bus systems; IEEE 39 bus systems; Jacobian-Free Newton GMRES method; KKT condition decomposition; communication costs; decentralized OPF algorithm; distributed OPF; first-order optimality conditions; inner-point method; large scale interaction power systems; wide area network environments; Computer networks; Convergence; Costs; Electricity supply industry; Jacobian matrices; Lagrangian functions; Power system interconnection; Power system management; Power system modeling; Power systems; Decentralized computing; Jacobian-Free GMRES(m); OPF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology and IEEE Power India Conference, 2008. POWERCON 2008. Joint International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4244-1763-6
  • Electronic_ISBN
    978-1-4244-1762-9
  • Type

    conf

  • DOI
    10.1109/ICPST.2008.4745191
  • Filename
    4745191