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MIncreasing Market Interconnection: an analysis of the Italian Electricity Spot Market

Author

Listed:
  • Federico Boffa

    (not available)

  • Viswanath Pingali

    (School of Economics and Management, Free University of Bolzano, Cornerstone Research-Boston)

Abstract

We estimate the bene ts resulting from completely interconnecting the Italian electricity spot market. The market is currently divided into two geographic zones - North and South - with limited interzonal transmission capacity that often induces congestion, and hence potential inefficiency. By simulating a fully interconnected market for May 2004, we predict that the total spot market expenditure reduces substantially by almost four percent. Our analysis finds evidence that the (partly State owned) major firm in the market does not currently maximize its short-term profit, and would benefit as well from improved interconnection.

Suggested Citation

  • Federico Boffa & Viswanath Pingali, 2008. "MIncreasing Market Interconnection: an analysis of the Italian Electricity Spot Market," Working Papers 17-2008, Macerata University, Department of Studies on Economic Development (DiSSE), revised Nov 2008.
    • Handle: RePEc:mcr:wpaper:wpaper00017
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    1. is not listed on IDEAS
    2. Boffa, Federico & Pingali, Viswanath & Sala, Francesca, 2015. "Strategic investment in merchant transmission: The impact of capacity utilization rules," Energy Policy, Elsevier, vol. 85(C), pages 455-463.
    3. Sapio, Alessandro & Spagnolo, Nicola, 2020. "The effect of a new power cable on energy prices volatility spillovers," Energy Policy, Elsevier, vol. 144(C).
    4. Simona Bigerna & Carlo Andrea Bollino & Maria Chiara D’Errico & Paolo Polinori, 2023. "A new design for market power monitoring in the electricity market. A simulation for Italy," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 40(1), pages 285-317, April.
    5. Bigerna, Simona & Bollino, Carlo Andrea & D'Errico, Maria Chiara & Polinori, Paolo, 2017. "The Ideal Competitive Electricity Market. A simulation for Italy," MPRA Paper 94893, University Library of Munich, Germany.
    6. Fianu, Emmanuel Senyo & Ahelegbey, Daniel Felix & Grossi, Luigi, 2022. "Modeling risk contagion in the Italian zonal electricity market," European Journal of Operational Research, Elsevier, vol. 298(2), pages 656-679.
    7. G. Papaioannou & P. Papaioannou & N. Parliaris, 2014. "Modeling the stylized facts of wholesale system marginal price (SMP) and the impacts of regulatory reforms on the Greek Electricity Market," Papers 1401.5452, arXiv.org.
    8. Petrella, Andrea & Sapio, Alessandro, 2012. "Assessing the impact of forward trading, retail liberalization, and white certificates on the Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 40(C), pages 307-317.
    9. Bosco, Bruno & Parisio, Lucia & Pelagatti, Matteo, 2012. "Strategic bidding in vertically integrated power markets with an application to the Italian electricity auctions," Energy Economics, Elsevier, vol. 34(6), pages 2046-2057.
    10. De Siano, Rita & Sapio, Alessandro, 2022. "Spatial merit order effects of renewables in the Italian power exchange," Energy Economics, Elsevier, vol. 108(C).
    11. Zimmermann, Florian & Bublitz, Andreas & Keles, Dogan & Fichtner, Wolf, 2019. "Cross-border effects of capacity remuneration mechanisms: The Swiss case," Working Paper Series in Production and Energy 35, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    12. Newbery, David & Pollitt, Michael G. & Ritz, Robert A. & Strielkowski, Wadim, 2018. "Market design for a high-renewables European electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 695-707.
    13. Dagoumas, Athanasios S. & Koltsaklis, Nikolasos E. & Panapakidis, Ioannis P., 2017. "An integrated model for risk management in electricity trade," Energy, Elsevier, vol. 124(C), pages 350-363.
    14. Bigerna, Simona & Andrea Bollino, Carlo & Polinori, Paolo, 2015. "Marginal cost and congestion in the Italian electricity market: An indirect estimation approach," Energy Policy, Elsevier, vol. 85(C), pages 445-454.
    15. Andrea Petrella & Sandro Sapio, 2010. "No PUN intended: A time series analysis of the Italian day-ahead electricity prices," RSCAS Working Papers 2010/03, European University Institute.
    16. Zerrahn, Alexander & Huppmann, Daniel, 2014. "Network Expansion to Mitigate Market Power: How Increased Integration Fosters Welfare," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100459, Verein für Socialpolitik / German Economic Association.
    17. Sapio, Alessandro, 2019. "Greener, more integrated, and less volatile? A quantile regression analysis of Italian wholesale electricity prices," Energy Policy, Elsevier, vol. 126(C), pages 452-469.
    18. Alexander Zerrahn & Daniel Huppmann, 2017. "Network Expansion to Mitigate Market Power," Networks and Spatial Economics, Springer, vol. 17(2), pages 611-644, June.
    19. repec:aen:journl:ej37-2-polinori is not listed on IDEAS
    20. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    21. Maria Chiara D?Errico, 2020. "Competition in the Italian electricity market: The unforeseen social welfare losses of reform," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2020(2), pages 75-91.
    22. Michele Fiorelli & Dogan Keles & Francesco Montana & Giovanni Lorenzo Restifo & Eleonora Riva Sanseverino & Gaetano Zizzo, 2020. "Evaluation of the Administrative Phase-Out of Coal Power Plants on the Italian Electricity Market," Energies, MDPI, vol. 13(18), pages 1-24, September.
    23. Schill, Wolf-Peter & Egerer, Jonas & Rosellón, Juan, 2015. "Testing Regulatory Regimes for Power Transmission Expansion with Fluctuating Demand and Wind Generation," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47(1), pages 1-28.

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    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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