• DocumentCode
    1153980
  • Title

    Quantifying the Impact of Connection Policy on Distributed Generation

  • Author

    Keane, Andrew ; Denny, Eleanor ; O´Malley, Mark

  • Author_Institution
    Sch. of Electr., Electron. & Mech. Eng., Univ. Coll. Dublin
  • Volume
    22
  • Issue
    1
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    189
  • Lastpage
    196
  • Abstract
    Increasing connections for distributed generation (DG), and in particular, for wind generation, are being sought in power systems across the world. These increased applications present a significant challenge to the existing connection policies of distribution network operators. In particular, nonfirm access to the network has been proposed as a method to increase the penetration of DG. The impact of the connection policies arising from nonfirm access are investigated in detail here. The Irish system is used as a case study, and with reference to the available energy resource and network parameters, the costs and benefits of DG are determined under a number of planning policies. The costs and benefits assessed include connection and cycling costs along with emissions, capacity value, and fuel bill saving. It is shown that a significant increase in the net benefits of DG is gained if the appropriate connection policy is utilized from the outset, and conversely, significant costs are incurred if ad hoc policies are employed. Furthermore, it is shown that nonfirm access has the scope to facilitate a significant extra amount of DG capacity
  • Keywords
    distributed power generation; power generation planning; wind power plants; Irish system; ad hoc policy; cycling costs; distributed generation connection policy; fuel bill saving; planning policy; wind generation; Costs; Distributed control; Distributed power generation; Energy resources; Energy storage; Fuels; Power generation; Power systems; Wind energy generation; Wind power generation; Costs; dispersed storage and generation; energy resources; linear programming; power distribution planning; power system economics; wind power generation;
  • fLanguage
    English
  • Journal_Title
    Energy Conversion, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8969
  • Type

    jour

  • DOI
    10.1109/TEC.2006.889618
  • Filename
    4106007