• DocumentCode
    647750
  • Title

    Optimal scheduling of a natural gas processing facility with Price-based Demand Response

  • Author

    Abahussain, Mohammed M. ; Christie, Richard D.

  • Author_Institution
    Electr. Eng. Dept., Univ. of Washington, Seattle, WA, USA
  • fYear
    2013
  • fDate
    21-25 July 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents an optimal scheduling algorithm for a natural gas processing facility. Priced-based Demand Response (PBDR) has been implemented into the formulation by adjusting the facility´s production level to respond to the real time price (RTP) of electricity in order to maximize the plant´s profit. Industrial facilities that own generation units are a good target for PBDR. When the RTP of electricity increases, co-generation system output can be increased to reduce the consumption of utility power and even supply power to the utility. The plant production level, which may depend on co-generation output, is also sensitive to RTP within a reasonable range of electricity prices. A mixed integer programming (MIP) method is used in this paper to solve the optimal scheduling problem.
  • Keywords
    cogeneration; demand side management; integer programming; natural gas technology; power generation scheduling; pricing; MIP method; PBDR; RTP; cogeneration system output; electricity prices; industrial facilities; mixed integer programming method; natural gas processing facility; optimal scheduling algorithm; plant production level; plant profit; priced-based demand response; real time price; utility power; Boilers; Cogeneration; Electricity; Generators; Natural gas; Optimal scheduling; Production; co-generation; demand response; maximization; mixed integer programming; optimal scheduling; price; profit; real time;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting (PES), 2013 IEEE
  • Conference_Location
    Vancouver, BC
  • ISSN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESMG.2013.6672280
  • Filename
    6672280