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An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions. ESRI WP523. January 2016

Farrell, Niall and Devine, Mel T. and Soroudi, Alireza (2016) An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions. ESRI WP523. January 2016. [Working Paper]

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    Abstract

    Efficient renewables deployment requires the minimisation of both internal generation costs and external transmission expansion planning (TEP) costs. Competitive pay- as-bid connection auctions allow wind energy generators to reveal their costs of generation such that internal generation costs may be minimised. TEP costs have not been incorporated into such auctions to date. Integrating these procedures may allow for a global minimisation of internal generation and external TEP costs over many time periods. This paper develops an auction mechanism and associated modelling framework to carry this out. The contributions of this framework are verified using a numerical example. Our results show that ignoring generation costs in transmission expansion planning has quantifiable economic consequences, while traditional pay-as-bid auctions can benefit from incorporating features associated with TEP, such as multi-period optimisation. Full integration of both modelling frameworks leads to efficiency improvements, both in terms of reduced investor rent-seeking and a more efficient deployment path.

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    Item Type: Working Paper
    Subjects for non-EU documents: EU policies and themes > Policies & related activities > energy policy (Including international arena)
    Countries > Ireland
    Subjects for EU documents: UNSPECIFIED
    EU Series and Periodicals: UNSPECIFIED
    EU Annual Reports: UNSPECIFIED
    Series: Series > Economic and Social Research Institute (ESRI), Dublin > ESRI Working Papers
    Depositing User: Alyssa McDonald
    Official EU Document: No
    Language: English
    Date Deposited: 24 Jul 2017 09:49
    Number of Pages: 36
    Last Modified: 24 Jul 2017 09:49
    URI: http://aei.pitt.edu/id/eprint/88314

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