• DocumentCode
    2158826
  • Title

    Energy transaction scheduling with network constraints and transmission losses

  • Author

    Zhu, J.Z. ; Chang, C.S.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
  • Volume
    2
  • fYear
    1997
  • fDate
    11-14 Nov 1997
  • Firstpage
    712
  • Abstract
    This paper presents a new approach to study the energy transaction scheduling for market-based operation using network flow programming (NFP). The proposed model includes network constraints and transmission losses. In the old paradigm, most of the schedules considered bilateral contracts. Research work showed that a multilateral contract is needed for efficient market operation. In this study, the proposed method is based on the premise that there are no firm contracts in the energy transaction system. Every contract in the energy transaction system is considered as a multilateral contract. An independent system operator (ISO) is assumed to be the broker. The broker maximises the number of transactions subject to power flow equations, buying and selling contracts and network constraints. This leads to a problem of network flow programming (NFP) with upper and lower limits. So a special solution in NFP “out-of-kilter algorithm” (OKA) is employed. A test example of IEEE 30 bus system is presented for the proposed model and method
  • Keywords
    power system interconnection; IEEE 30 bus system; broker; computer simulation; efficient market operation; energy transaction scheduling; independent system operator; multilateral contract; network constraints; network flow programming; out-of-kilter algorithm; power flow equations; power systems; transmission losses;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Advances in Power System Control, Operation and Management, 1997. APSCOM-97. Fourth International Conference on (Conf. Publ. No. 450)
  • Print_ISBN
    0-85296-912-0
  • Type

    conf

  • DOI
    10.1049/cp:19971921
  • Filename
    724935