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Intermittent renewable generation and network congestion: an empirical analysis of Italian Power Market

Author

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  • Faddy Ardian

    (X - École polytechnique)

  • Silvia Concettini

    (X - École polytechnique)

  • Anna Creti

    (X - École polytechnique, Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres)

Abstract

The literature demonstrates the likely reduction of wholesale electricity prices due to a larger penetration of renewable energy sources (RES). When markets are organized as two or more inter-connected sub-markets within a larger power market the final impact of increasing RES production may be less straightforward given the presence of network constraints. We tests this phenomenon by analyzing the impact of RES production on the probability of congestion and on the size of congestion cost in Italy. Using a database with hourly observations for a five year period we estimate two econometric models on five zonal pairings: a multinomial logit model for the occurrence and direction of congestion and a three stage least square model for the size of congestion costs. The analysis suggests that the e ffect of a larger local wind and solar supply is to decrease the probability of suff ering congestion in entry and to increase the probability of causing a congestion in exit compared to no congestion case. Increasing hydroelectric production has a similar eff ect. These results hold for both importing and exporting regions, but importing regions are less likely to cause congestion in exit, therefore the installation of new RES capacity in these zones may have a positive eff ects in terms of flow balance between regions. Concerning the cost level, a larger local RES supply seems to push the congestion cost towards negative values as it decreases the marginal cost for balancing the system. This is true for all zones in the case of explicit congestion cost, but it is only verified in importing regions in the case of implicit congestion cost. This result suggests that the increase of RES production should be promoted in importing zones, but the overall growth should be controlled in order to avoid congestion in the opposite direction.

Suggested Citation

  • Faddy Ardian & Silvia Concettini & Anna Creti, 2015. "Intermittent renewable generation and network congestion: an empirical analysis of Italian Power Market," Working Papers hal-01218543, HAL.
  • Handle: RePEc:hal:wpaper:hal-01218543
    Note: View the original document on HAL open archive server: https://polytechnique.hal.science/hal-01218543
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    References listed on IDEAS

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    1. Schroeder, Andreas & Oei, Pao-Yu & Sander, Aram & Hankel, Lisa & Laurisch, Lilian Charlotte, 2013. "The integration of renewable energies into the German transmission grid—A scenario comparison," Energy Policy, Elsevier, vol. 61(C), pages 140-150.
    2. Gianfreda, Angelica & Grossi, Luigi, 2012. "Forecasting Italian electricity zonal prices with exogenous variables," Energy Economics, Elsevier, vol. 34(6), pages 2228-2239.
    3. O'Mahoney, Amy & Denny, Eleanor, 2011. "The Merit Order Effect of Wind Generation on the Irish Electricity Market," MPRA Paper 56043, University Library of Munich, Germany.
    4. Würzburg, Klaas & Labandeira, Xavier & Linares, Pedro, 2013. "Renewable generation and electricity prices: Taking stock and new evidence for Germany and Austria," Energy Economics, Elsevier, vol. 40(S1), pages 159-171.
    5. Ketterer, Janina C., 2014. "The impact of wind power generation on the electricity price in Germany," Energy Economics, Elsevier, vol. 44(C), pages 270-280.
    6. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    7. Gelabert, Liliana & Labandeira, Xavier & Linares, Pedro, 2011. "An ex-post analysis of the effect of renewables and cogeneration on Spanish electricity prices," Energy Economics, Elsevier, vol. 33(S1), pages 59-65.
    8. Clò, Stefano & Cataldi, Alessandra & Zoppoli, Pietro, 2015. "The merit-order effect in the Italian power market: The impact of solar and wind generation on national wholesale electricity prices," Energy Policy, Elsevier, vol. 77(C), pages 79-88.
    9. Cutler, Nicholas J. & Boerema, Nicholas D. & MacGill, Iain F. & Outhred, Hugh R., 2011. "High penetration wind generation impacts on spot prices in the Australian national electricity market," Energy Policy, Elsevier, vol. 39(10), pages 5939-5949, October.
    10. Silvia Concettini, 2014. "Merit order effect and strategic investments in intermittent generation technologies," EconomiX Working Papers 2014-44, University of Paris Nanterre, EconomiX.
    11. Milstein, Irena & Tishler, Asher, 2011. "Intermittently renewable energy, optimal capacity mix and prices in a deregulated electricity market," Energy Policy, Elsevier, vol. 39(7), pages 3922-3927, July.
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    1. Figueiredo, Nuno Carvalho & Silva, Patrícia Pereira da & Cerqueira, Pedro A., 2016. "It is windy in Denmark: Does market integration suffer?," Energy, Elsevier, vol. 115(P2), pages 1385-1399.

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    Keywords

    Zonal prices; Congestion; Electricity markets; Renewable production;
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