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A Review of Balancing Costs in Italy before and after RES introduction

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  • Angelica Gianfreda

    (Free University of Bozen-Bolzano, Faculty of Economics and Management)

  • Lucia Parisio

    (University of Milano-Bicocca, DEMS)

  • Matteo Pelagatti

    (University of Milano-Bicocca, DEMS)

Abstract

The massive introduction of RES in electricity markets is recognized to have induced a merit order effect on wholesale prices. While day-ahead prices are likely to decline as RES-E production increases, the effects on balancing market sessions are more ambiguous. Taking into account the Northern Italian zone characterized by a high solar PV and hydro penetration, we provide empirical evidence that balancing quantities decreased while costs increased between two samples associated with low (2006-08) and high (2013-15) RES levels. We estimate balancing costs for different technologies and compare their dynamics across specific hours. We find evidence of increasing balancing prices in particular market conditions, that we interpret as a signal of strategic use of real time sessions by conventional producers prone to the merit order effect in the day-ahead market. We compare our results to those obtained in the German market (where, on the contrary, balancing costs have decreased) and postulate that the different market designs may explain these results. Our findings suggest that Italian policy makers should carefully monitor all trading sessions, especially those close to real time, to avoid the exercise of market power by few operators allowed to guarantee system security and, additionally, to promptly adopt a capacity market.

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  • Angelica Gianfreda & Lucia Parisio & Matteo Pelagatti, 2018. "A Review of Balancing Costs in Italy before and after RES introduction," BEMPS - Bozen Economics & Management Paper Series BEMPS45, Faculty of Economics and Management at the Free University of Bozen.
  • Handle: RePEc:bzn:wpaper:bemps45
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    7. Katarzyna Maciejowska & Weronika Nitka & Tomasz Weron, 2019. "Enhancing load, wind and solar generation forecasts in day-ahead forecasting of spot and intraday electricity prices," HSC Research Reports HSC/19/08, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
    8. Billé, Anna Gloria & Gianfreda, Angelica & Del Grosso, Filippo & Ravazzolo, Francesco, 2023. "Forecasting electricity prices with expert, linear, and nonlinear models," International Journal of Forecasting, Elsevier, vol. 39(2), pages 570-586.
    9. Mendicino, Luca & Menniti, Daniele & Pinnarelli, Anna & Sorrentino, Nicola, 2019. "Corporate power purchase agreement: Formulation of the related levelized cost of energy and its application to a real life case study," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    10. Lange, Andreas & Ross, Johannes, 2024. "Internalizing match-dependent externalities," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 356-378.
    11. Gianfreda, Angelica & Ravazzolo, Francesco & Rossini, Luca, 2020. "Comparing the forecasting performances of linear models for electricity prices with high RES penetration," International Journal of Forecasting, Elsevier, vol. 36(3), pages 974-986.
    12. Graf, Christoph & Quaglia, Federico & Wolak, Frank A., 2021. "(Machine) learning from the COVID-19 lockdown about electricity market performance with a large share of renewables," Journal of Environmental Economics and Management, Elsevier, vol. 105(C).
    13. Fabio G. Santeramo & Monica Delsignore & Enrica Imbert & Mariarosaria Lombardi, 2023. "The Future of the EU Bioenergy Sector: Economic, Environmental, Social, and Legislative Challenges," International Review of Environmental and Resource Economics, now publishers, vol. 17(1), pages 1-1–52, April.
    14. Grzegorz Marcjasz & Tomasz Serafin & Rafał Weron, 2018. "Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting," Energies, MDPI, vol. 11(9), pages 1-20, September.
    15. Mohamed Khamies & Salah Kamel & Mohamed H. Hassan & Mohamed F. Elnaggar, 2022. "A Developed Frequency Control Strategy for Hybrid Two-Area Power System with Renewable Energy Sources Based on an Improved Social Network Search Algorithm," Mathematics, MDPI, vol. 10(9), pages 1-31, May.
    16. Chyong, C. & Pollitt, M. & Cruise, R., 2019. "Can wholesale electricity prices support “subsidy-free” generation investment in Europe?," Cambridge Working Papers in Economics 1955, Faculty of Economics, University of Cambridge.
    17. Sirin, Selahattin Murat & Yilmaz, Berna N., 2021. "The impact of variable renewable energy technologies on electricity markets: An analysis of the Turkish balancing market," Energy Policy, Elsevier, vol. 151(C).
    18. Schillinger, Moritz & Weigt, Hannes, 2019. "Bidding into balancing markets in a hydro-dominated electricity system," Working papers 2019/13, Faculty of Business and Economics - University of Basel.
    19. Alasseri, Rajeev & Rao, T. Joji & Sreekanth, K.J., 2020. "Institution of incentive-based demand response programs and prospective policy assessments for a subsidized electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 117(C).
    20. Katarzyna Maciejowska & Weronika Nitka & Tomasz Weron, 2019. "Day-Ahead vs. Intraday—Forecasting the Price Spread to Maximize Economic Benefits," Energies, MDPI, vol. 12(4), pages 1-15, February.
    21. Yasir Alsaedi & Gurudeo Anand Tularam & Victor Wong, 2020. "Impact of Solar and Wind Prices on the Integrated Global Electricity Spot and Options Markets: A Time Series Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 10(2), pages 337-353.
    22. Koch, Christopher & Hirth, Lion, 2019. "Short-term electricity trading for system balancing: An empirical analysis of the role of intraday trading in balancing Germany's electricity system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.

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    More about this item

    Keywords

    Electricity market; Merit order effect; Balancing Cost; Up-regulation; Down-regulation; Uplift;
    All these keywords.

    JEL classification:

    • D04 - Microeconomics - - General - - - Microeconomic Policy: Formulation; Implementation; Evaluation
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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