• DocumentCode
    1047512
  • Title

    Methodology for determination of economic connection capacity for renewable generator connections to distribution networks optimised by active power flow management

  • Author

    Currie, R.A.F. ; Ault, G.W. ; McDonald, J.R.

  • Author_Institution
    Adv. Electr. Syst. Res. Group, Univ. of Strathclyde, Glasgow, UK
  • Volume
    153
  • Issue
    4
  • fYear
    2006
  • fDate
    7/13/2006 12:00:00 AM
  • Firstpage
    456
  • Lastpage
    462
  • Abstract
    Increased penetration of renewable energy in line with current national targets will necessitate the implementation of new operational management arrangements for the control of distribution networks. The traditional distribution network and accompanying operational philosophy is incapable of accommodating large amounts of distributed renewable energy generation. These existing distribution networks were designed to operate passively and deliver unidirectional power flows to dispersed customers. Changing the mode of operation to ´active network management´ will allow increased connection of distributed generation, while also avoiding the need for expensive reinforcement of circuits and providing adequate network security for the distribution network operator. A method for actively managing power flows associated with the connection of multiple renewable generators to the distribution network is introduced. The accompanying benefits in terms of exploitable distribution network capacity are demonstrated through the determination of an economic ´cutoff´ point for new connections, thus maximising the utilisation of the existing distribution network capacity.
  • Keywords
    load flow; power distribution economics; renewable energy sources; active power flow management; distributed renewable energy generation; economic connection capacity; network security; power distribution network control;
  • fLanguage
    English
  • Journal_Title
    Generation, Transmission and Distribution, IEE Proceedings-
  • Publisher
    iet
  • ISSN
    1350-2360
  • Type

    jour

  • DOI
    10.1049/ip-gtd:20050173
  • Filename
    1659672