• DocumentCode
    2682643
  • Title

    Optimal power flow as a generation expansion and network reinforcement planning tool

  • Author

    Vovos, P.N. ; Bialek, J.W.

  • Author_Institution
    Sch. of Eng. & Electron., Edinburgh Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Abstract
    The aim of this paper is to present the potential of optimal power flow (OPF) as a planning rather than operating tool. First a method for determining network headroom is briefly described. The key point is the modeling of new generators and interconnections to external grids as the outputs of virtual generators connected at respective points on the network. OPF then determines their output, which represents size of new capacity or volume of imports/exports, by maximizing the benefit for the network operator from expected energy exports and the ability of the network to absorb new generation capacity. The methodology is expanded in order to consider constraints imposed by existing switchgear and the impact of voltage control policies on capacity allocation, as examples of the adaptability of the suggested approach to future planning conditions. Furthermore, sensitivity by-products attached to the OPF constraints during the solution process can signal the optimal reinforcement options. The overall approach is demonstrated using a 12-bus meshed network
  • Keywords
    load flow; power generation planning; switchgear; 12-bus meshed network; by-products sensitivity; capacity allocation; external grids; generation capacity; generation expansion; network headroom; network operator; network reinforcement planning tool; optimal power flow; switchgear; virtual generators; voltage control policies; Capacity planning; Investments; Load flow; Load flow analysis; Mesh generation; Power generation; Power system planning; Signal processing; Switchgear; Voltage control; Load flow analysis; fault currents; optimization methods; power system planning; protection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Engineering Society General Meeting, 2006. IEEE
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    1-4244-0493-2
  • Type

    conf

  • DOI
    10.1109/PES.2006.1709498
  • Filename
    1709498