• DocumentCode
    1823758
  • Title

    Dynamic optimal power flow with geothermal power plant under take or pay energy contract

  • Author

    Wibowo, Rony Seto ; Nada, Nani Lathifatun ; Anam, Sjamsjul ; Soeprijanto, Adi ; Penangsang, Ontoseno

  • Author_Institution
    Inst. Teknol. Sepuluh Nopember, Surabaya, Indonesia
  • fYear
    2015
  • fDate
    20-21 May 2015
  • Firstpage
    187
  • Lastpage
    192
  • Abstract
    This paper deals with dynamic optimal power flow (DOPF) considering geothermal power plant under take or pay (TOP) contract. As located in ring of fire, Indonesia has high potential of geothermal resources. Therefore, geothermal power plant becomes promising solution of power shortage in Indonesia. However, it takes high investment cost to develop geothermal power plant. In order to attract the investors to spend their money in developing geothermal power plant, the Indonesian government applies take or pay scheme in buying electric power from geothermal unit. This scheme is aimed to ensure cost recovery of the unit. When applying take or pay scheme, system operator may use DOPF formulation to make daily operation planning. The DOPF problem is solved using Matlab-based quadratic programming (QP). Then, IEEE 30 bus system is employed as tested system to show the effectiveness of the proposed approach.
  • Keywords
    IEEE standards; geothermal power stations; load flow; power system economics; power system planning; quadratic programming; DOPF; IEEE 30 bus system; Indonesia; QP; TOP contract; daily operation planning; dynamic optimal power flow; geothermal power plant; geothermal resource; power shortage; quadratic programming; take or pay contract; Contracts; Generators; Load flow; Power generation; Power system dynamics; Power transmission lines; Quadratic programming; Dynamic Optimal Power Flow; Geothermal; Take or Pay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Technology and Its Applications (ISITIA), 2015 International Seminar on
  • Conference_Location
    Surabaya
  • Print_ISBN
    978-1-4799-7710-9
  • Type

    conf

  • DOI
    10.1109/ISITIA.2015.7219977
  • Filename
    7219977