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Wind, Storage, Interconnection and the Cost of Electricity Generation

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  • Valeria Di Cosmo

    (Fondazione Eni Enrico Mattei and Economic and Social Research Institute)

  • Laura Malaguzzi Valeri

    (Economic and Social Research Institute)

Abstract

We evaluate how increasing wind generation affects wholesale electricity prices, balancing payments and the cost of subsidies using the Irish Single Electricity Market (SEM) as a test system, with hourly data from 1 January 2008 to 28 August 2012. We model the spot market using a system of seemingly unrelated regressions (SUR) where the regressions are the 24 hours of the day. Wind has a negative impact on the system marginal price, with every MWh increase in wind generation (equal to about 0.2% of the average wind generation in our sample) leading to a decrease of the system marginal price of €0.018/MWh, or about 0.3% of its average value. We use time series models to analyse the balancing market and show that wind generation increases balancing payments, as do the forecast errors of demand and wind. Every MWh of additional wind generation is associated with an increase in constraint payments of €3.2, or about 0.01%. Lack of storage increases the impact of wind on balancing payments whereas the lack of interconnection has no effect. Overall, wind decreases costs through its effect on the electricity price more than it increases constraint payments, even when storage is on outage. The effect of wind remains positive after including the cost of subsidies given to wind generation.

Suggested Citation

  • Valeria Di Cosmo & Laura Malaguzzi Valeri, 2017. "Wind, Storage, Interconnection and the Cost of Electricity Generation," Working Papers 2017.10, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2017.10
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    2. Russo, Marianna & Kraft, Emil & Bertsch, Valentin & Keles, Dogan, 2021. "Short-term risk management for electricity retailers under rising shares of decentralized solar generation," Working Paper Series in Production and Energy 57, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    3. Cristina Ballester & Dolores Furió, 2017. "Impact of Wind Electricity Forecasts on Bidding Strategies," Sustainability, MDPI, Open Access Journal, vol. 9(8), pages 1-17, August.
    4. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    5. Russo, Marianna & Bertsch, Valentin, 2018. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Papers WP597, Economic and Social Research Institute (ESRI).
    6. Yasir Alsaedi & Gurudeo Anand Tularam & Victor Wong, 2021. "Impact of the Nature of Energy Management and Responses to Policies Regarding Solar and Wind Pricing: A Qualitative Study of the Australian Electricity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 11(3), pages 191-205.
    7. Lynch, Muireann A, 2017. "Re-evaluating Irish energy policy in light of brexit," Research Notes RN20170201, Economic and Social Research Institute (ESRI).
    8. McQuinn, Kieran & Foley, Daniel & O'Toole, Conor, 2017. "Quarterly Economic Commentary, Summer 2017," Forecasting Report, Economic and Social Research Institute (ESRI), number QEC20172, december.
    9. Koto, Prosper Senyo & Yiridoe, Emmanuel K., 2019. "Expected willingness to pay for wind energy in Atlantic Canada," Energy Policy, Elsevier, vol. 129(C), pages 80-88.

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    More about this item

    Keywords

    Wind Generation; Constraints; Storage; Interconnection; Subsidies;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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