Research

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


Reference:

Heng, H. Y., Li, F. and Wang, X.-F. F., 2009. Charging for network security based on long-run incremental cost pricing. IEEE Transactions on Power Systems, 24 (4), pp. 1686-1693.

Related documents:

[img]
Preview
PDF (heng-24-4.pdf) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (483kB) | Preview

    Official URL:

    http://dx.doi.org/10.1109/tpwrs.2009.2030301

    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 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 while 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.

    Details

    Item Type Articles
    CreatorsHeng, H. Y., Li, F. and Wang, X.-F. F.
    DOI10.1109/tpwrs.2009.2030301
    DepartmentsFaculty of Engineering & Design > Electronic & Electrical Engineering
    Publisher Statementheng-24-4.pdf: Copyright © 2010 IEEE. Reprinted from IEEE Transactions on Power Systems. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bath’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
    RefereedYes
    StatusPublished
    ID Code16810

    Export

    Actions (login required)

    View Item

    Document Downloads

    More statistics for this item...