Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/129416 
Erscheinungsjahr: 
2016
Schriftenreihe/Nr.: 
ESRI Working Paper No. 523
Verlag: 
The Economic and Social Research Institute (ESRI), Dublin
Zusammenfassung: 
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 rentseeking and a more efficient deployment path.
Schlagwörter: 
Renewable Energy
Electricity Transmission
Optimisation
Auction Design
Dokumentart: 
Working Paper

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