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An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions

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  • Farrell, Niall
  • Devine, Mel T.
  • Soroudi, Alireza

Abstract

Competitive renewable energy procurement auctions are becoming increasingly prevalent. In a pay-as-bid auction, investors bid the price support required and receive that price if successful. Bidding strategy may be influenced by factors external to the auction, such as transmission expansion planning decisions. This may increase costs. In this paper, we show that integrating a pay-as-bid auction with transmission expansion planning may allow for closer total system cost minimisation 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 can have economic consequences, while traditional pay-as-bid auctions can benefit from incorporating features associated with transmission expansion planning, such as multi-period optimisation. Full integration of both modelling frameworks can lead to efficiency improvements, both in terms of reduced investor rent-seeking and a more efficient deployment path.

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  • Farrell, Niall & Devine, Mel T. & Soroudi, Alireza, 2018. "An auction framework to integrate dynamic transmission expansion planning and pay-as-bid wind connection auctions," Applied Energy, Elsevier, vol. 228(C), pages 2462-2477.
    • Handle: RePEc:eee:appene:v:228:y:2018:i:c:p:2462-2477
    DOI: 10.1016/j.apenergy.2018.06.073
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    1. Phillips, Benjamin R. & Middleton, Richard S., 2012. "SimWIND: A geospatial infrastructure model for optimizing wind power generation and transmission," Energy Policy, Elsevier, vol. 43(C), pages 291-302.
    2. van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F., 2012. "The economics of planning electricity transmission to accommodate renewables: Using two-stage optimisation to evaluate flexibility and the cost of disregarding uncertainty," Energy Economics, Elsevier, vol. 34(6), pages 2089-2101.
    3. Niall Farrell & Mel T. Devine & William T. Lee & James P. Gleeson & Seán Lyons, 2017. "Specifying An Efficient Renewable Energy Feed-in Tariff," The Energy Journal, , vol. 38(2), pages 53-76, March.
    4. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2014. "Market based transmission expansion and reactive power planning with consideration of wind and load uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 1-10.
    5. Lo Prete, Chiara & Hobbs, Benjamin F., 2016. "A cooperative game theoretic analysis of incentives for microgrids in regulated electricity markets," Applied Energy, Elsevier, vol. 169(C), pages 524-541.
    6. Alayo, Hans & Rider, Marcos J. & Contreras, Javier, 2017. "Economic externalities in transmission network expansion planning," Energy Economics, Elsevier, vol. 68(C), pages 109-115.
    7. van der Weijde, A.H. & Hobbs, B.F., 2011. "Planning electricity transmission to accommodate renewables: Using two-stage programming to evaluate flexibility and the cost of disregarding uncertainty," Cambridge Working Papers in Economics 1113, Faculty of Economics, University of Cambridge.
    8. Munoz, Francisco D. & van der Weijde, Adriaan Hendrik & Hobbs, Benjamin F. & Watson, Jean-Paul, 2017. "Does risk aversion affect transmission and generation planning? A Western North America case study," Energy Economics, Elsevier, vol. 64(C), pages 213-225.
    9. Kylili, Angeliki & Fokaides, Paris A., 2015. "Competitive auction mechanisms for the promotion renewable energy technologies: The case of the 50MW photovoltaics projects in Cyprus," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 226-233.
    10. William A. Brock & Steven N. Durlauf, 2001. "Discrete Choice with Social Interactions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(2), pages 235-260.
    11. Dupont, B. & De Jonghe, C. & Olmos, L. & Belmans, R., 2014. "Demand response with locational dynamic pricing to support the integration of renewables," Energy Policy, Elsevier, vol. 67(C), pages 344-354.
    12. Rodri­guez Ortega, Mari­a Pi­a & Pérez-Arriaga, J. Ignacio & Abbad, Juan Rivier & González, Jesús Peco, 2008. "Distribution network tariffs: A closed question?," Energy Policy, Elsevier, vol. 36(5), pages 1712-1725, May.
    13. Baban, Serwan M.J & Parry, Tim, 2001. "Developing and applying a GIS-assisted approach to locating wind farms in the UK," Renewable Energy, Elsevier, vol. 24(1), pages 59-71.
    14. Newbery, David, 2016. "Missing money and missing markets: Reliability, capacity auctions and interconnectors," Energy Policy, Elsevier, vol. 94(C), pages 401-410.
    15. van Haaren, Rob & Fthenakis, Vasilis, 2011. "GIS-based wind farm site selection using spatial multi-criteria analysis (SMCA): Evaluating the case for New York State," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(7), pages 3332-3340, September.
    16. Sklenicka, Petr & Zouhar, Jan, 2018. "Predicting the visual impact of onshore wind farms via landscape indices: A method for objectivizing planning and decision processes," Applied Energy, Elsevier, vol. 209(C), pages 445-454.
    17. Ramachandra, T.V. & Shruthi, B.V., 2007. "Spatial mapping of renewable energy potential," Renewable and Sustainable Energy Reviews, Elsevier, vol. 11(7), pages 1460-1480, September.
    18. Hemmati, Reza & Hooshmand, Rahmat-Allah & Khodabakhshian, Amin, 2016. "Coordinated generation and transmission expansion planning in deregulated electricity market considering wind farms," Renewable Energy, Elsevier, vol. 85(C), pages 620-630.
    19. Saastamoinen, Antti & Kuosmanen, Timo, 2016. "Quality frontier of electricity distribution: Supply security, best practices, and underground cabling in Finland," Energy Economics, Elsevier, vol. 53(C), pages 281-292.
    20. Christine Brandstätt & Gert Brunekreeft & Nele Friedrichsen, 2011. "Locational signals to reduce network investments in smart distribution grids: what works and what not?," Bremen Energy Working Papers 0007, Bremen Energy Research.
    21. Farrell, Niall & Devine, Mel, 2015. "How do External Costs affect Pay-as-bid Renewable Energy Connection Auctions?," Papers WP517, Economic and Social Research Institute (ESRI).
    22. Brandstätt, Christine & Brunekreeft, Gert & Friedrichsen, Nele, 2011. "Locational signals to reduce network investments in smart distribution grids: What works and what not?," Utilities Policy, Elsevier, vol. 19(4), pages 244-254.
    23. He, Yaoyao & Liu, Rui & Li, Haiyan & Wang, Shuo & Lu, Xiaofen, 2017. "Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory," Applied Energy, Elsevier, vol. 185(P1), pages 254-266.
    24. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 358-387, November.
    25. Doherty, Ronan & O'Malley, Mark, 2011. "The efficiency of Ireland's Renewable Energy Feed-In Tariff (REFIT) for wind generation," Energy Policy, Elsevier, vol. 39(9), pages 4911-4919, September.
    26. Wang, Jianzhou & Niu, Tong & Lu, Haiyan & Guo, Zhenhai & Yang, Wendong & Du, Pei, 2018. "An analysis-forecast system for uncertainty modeling of wind speed: A case study of large-scale wind farms," Applied Energy, Elsevier, vol. 211(C), pages 492-512.
    27. Enzo Sauma & Shmuel Oren, 2006. "Proactive planning and valuation of transmission investments in restructured electricity markets," Journal of Regulatory Economics, Springer, vol. 30(3), pages 261-290, November.
    28. Azadeh, A. & Ghaderi, S.F. & Nasrollahi, M.R., 2011. "Location optimization of wind plants in Iran by an integrated hierarchical Data Envelopment Analysis," Renewable Energy, Elsevier, vol. 36(5), pages 1621-1631.
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