• DocumentCode
    2388543
  • Title

    Charging for network security based on long-run incremental cost pricing

  • Author

    Hui Yi Heng ; Furong Li ; Xifan Wang

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
  • fYear
    2010
  • fDate
    25-29 July 2010
  • Firstpage
    1
  • Lastpage
    1
  • Abstract
    Pricing for the use of the networks is essential in the way that it should be able to reflect the costs/benefits imposed on a network when connecting a new generator or demand and to provide forward-looking message to influence the site and size of future network customers. Studies have been extensively carried out over the years to achieve this pricing goal. Few methodologies that can directly link nodal generation/demand increment to network long-run marginal/incremental costs. Even fewer consider network security in their pricing methodologies, considering it is one of the most important cost drivers. All networks are designed to be able to withstand credible contingencies, but this comes at a significant cost to network development. This paper proposes a new approach that can establish the direct link between nodal generation/demand increment and changes in investment cost whilst ensuring network security. The investment cost is reflected by the change in the spare capacity of a network asset from a nodal injection, which is in turn translated into an investment horizon, leading to the change in the present value of a future investment cost. The security is reflected in the pricing through a full N-1 contingency analysis to define the maximum allowed power flow along each circuit, from which the time horizon of future investment is determined. This paper illustrates the implementation of the proposed pricing model for a system whose demand grows either at a uniform rate or at variable growth rates. The benefits of introducing security into the long-run pricing model are demonstrated on the IEEE 14 busbar system and a practical 87-busbar distribution network.
  • Keywords
    busbars; demand side management; load flow; power distribution economics; power generation economics; power system security; 87-busbar distribution network; IEEE 14 busbar system; N-1 contingency analysis; cost driver; forward-looking message; investment cost; long-run incremental cost pricing; maximum allowed power flow; network long-run marginal-incremental cost; network security; nodal generation-demand increment; nodal injection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2010 IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4244-6549-1
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PES.2010.5590094
  • Filename
    5590094