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Distribution of costs induced by the integration of RES-E power

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  • Barth, Rüdiger
  • Weber, Christoph
  • Swider, Derk J.

Abstract

This article focuses on the distribution of costs induced by the integration of electricity generation from renewable energy sources (RES-E). The treatment to distribute these costs on different market actors is crucial for its development. For this purpose, individual actors of electricity markets and several cost categories are identified. According to the defined cost structure, possible treatments to distribute the individual cost categories on different relevant actors are described. Finally, an evaluation of the cost distribution treatments based on an economic analysis is given. Economic efficiency recommends that clearly attributable (shallow) grid connection as well as (deep) grid costs are charged to the corresponding RES-E producer and that the RES-E producers are also charged the regulating power costs. However, deep grid integration costs should be updated to reflect evolving scarcities. Also regulating power costs should reflect actual scarcity and thus be symmetric and based on real-time prices, taking into account the overall system imbalance. Moreover, the time span between the closure of the spot market and actual delivery should be chosen as short as possible to enable accurate RES-E production forecasts.

Suggested Citation

  • Barth, Rüdiger & Weber, Christoph & Swider, Derk J., 2008. "Distribution of costs induced by the integration of RES-E power," Energy Policy, Elsevier, vol. 36(8), pages 3097-3105, August.
    • Handle: RePEc:eee:enepol:v:36:y:2008:i:8:p:3097-3105
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    Cited by:

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    5. Bueno-Lorenzo, Miriam & Moreno, M. Ángeles & Usaola, Julio, 2013. "Analysis of the imbalance price scheme in the Spanish electricity market: A wind power test case," Energy Policy, Elsevier, vol. 62(C), pages 1010-1019.
    6. de Joode, J. & Jansen, J.C. & van der Welle, A.J. & Scheepers, M.J.J., 2009. "Increasing penetration of renewable and distributed electricity generation and the need for different network regulation," Energy Policy, Elsevier, vol. 37(8), pages 2907-2915, August.
    7. Hiroux, C. & Saguan, M., 2010. "Large-scale wind power in European electricity markets: Time for revisiting support schemes and market designs?," Energy Policy, Elsevier, vol. 38(7), pages 3135-3145, July.
    8. Iskin, Ibrahim & Daim, Tugrul & Kayakutlu, Gulgun & Altuntas, Mehmet, 2012. "Exploring renewable energy pricing with analytic network process — Comparing a developed and a developing economy," Energy Economics, Elsevier, vol. 34(4), pages 882-891.
    9. Goodarzi, Shadi & Perera, H. Niles & Bunn, Derek, 2019. "The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices," Energy Policy, Elsevier, vol. 134(C).
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    11. Valitov, Niyaz & Maier, Andreas, 2020. "Asymmetric information in the German intraday electricity market," Energy Economics, Elsevier, vol. 89(C).
    12. He, Y.X. & Zhu, M.Z. & Xiong, W. & Zhang, T. & Ge, X.L., 2012. "Electricity transmission tariffs for large-scale wind power consumption in western Gansu province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4543-4550.
    13. 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.
    14. Batlle, Carlos, 2011. "A method for allocating renewable energy source subsidies among final energy consumers," Energy Policy, Elsevier, vol. 39(5), pages 2586-2595, May.
    15. Vandezande, Leen & Meeus, Leonardo & Belmans, Ronnie & Saguan, Marcelo & Glachant, Jean-Michel, 2010. "Well-functioning balancing markets: A prerequisite for wind power integration," Energy Policy, Elsevier, vol. 38(7), pages 3146-3154, July.
    16. Wolfgang Buchholz & Jonas Frank & Hans-Dieter Karl & Johannes Pfeiffer & Karen Pittel & Ursula Triebswetter & Jochen Habermann & Wolfgang Mauch & Thomas Staudacher, 2012. "Die Zukunft der Energiemärkte: Ökonomische Analyse und Bewertung von Potenzialen und Handlungsmöglichkeiten," ifo Forschungsberichte, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 57.
    17. González-Aparicio, I. & Zucker, A., 2015. "Impact of wind power uncertainty forecasting on the market integration of wind energy in Spain," Applied Energy, Elsevier, vol. 159(C), pages 334-349.
    18. Henriot, Arthur & Glachant, Jean-Michel, 2013. "Melting-pots and salad bowls: The current debate on electricity market design for integration of intermittent RES," Utilities Policy, Elsevier, vol. 27(C), pages 57-64.
    19. Weber, Christoph, 2010. "Adequate intraday market design to enable the integration of wind energy into the European power systems," Energy Policy, Elsevier, vol. 38(7), pages 3155-3163, July.
    20. Costa-Campi, Maria Teresa & Davi-Arderius, Daniel & Trujillo-Baute, Elisa, 2020. "Locational impact and network costs of energy transition: Introducing geographical price signals for new renewable capacity," Energy Policy, Elsevier, vol. 142(C).
    21. Fridgen, Gilbert & Michaelis, Anne & Rinck, Maximilian & Schöpf, Michael & Weibelzahl, Martin, 2020. "The search for the perfect match: Aligning power-trading products to the energy transition," Energy Policy, Elsevier, vol. 144(C).
    22. González, Javier Serrano & Lacal-Arántegui, Roberto, 2016. "A review of regulatory framework for wind energy in European Union countries: Current state and expected developments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 588-602.

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