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On the Value of Emerging, Day-Ahead Market Related Wind-Storage Narratives in Greece: An Early Empirical Analysis

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  • Stefanos Tampakakis

    (Soft Energy Applications & Environmental Protection Lab, Mechanical Engineering Department, University of West Attica, 122 43 Egaleo, Greece)

  • Dimitrios Zafirakis

    (Soft Energy Applications & Environmental Protection Lab, Mechanical Engineering Department, University of West Attica, 122 43 Egaleo, Greece)

Abstract

Large-scale integration of renewable energy sources introduces high levels of uncertainty in power systems. In addressing the inherent uncertainty of renewables, coupling with energy storage systems allows for improved dispatchability, not only in terms of power system integration but also in terms of market participation. To that end, we currently look into the coupling of wind energy and energy storage and assess the ex-post value of different, day-ahead market related wind–storage narratives. In doing so, we apply practical dispatch strategies using empirical market signals, vary the size of storage, and adopt different cycling patterns, treating the configurations examined as price-taker units. In addition, by integrating different wind regimes and several years of spot price series, we argue that our approach captures different spatial and temporal characteristics; thus, offering a broad, representative view of the value and associated risk of similar market scenarios in the study area of Greece.

Suggested Citation

  • Stefanos Tampakakis & Dimitrios Zafirakis, 2023. "On the Value of Emerging, Day-Ahead Market Related Wind-Storage Narratives in Greece: An Early Empirical Analysis," Energies, MDPI, vol. 16(8), pages 1-19, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:8:p:3506-:d:1126202
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    References listed on IDEAS

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    1. Zhang, Mengling & Jiao, Zihao & Ran, Lun & Zhang, Yuli, 2023. "Optimal energy and reserve scheduling in a renewable-dominant power system," Omega, Elsevier, vol. 118(C).
    2. Đukan, Mak & Kitzing, Lena, 2023. "A bigger bang for the buck: The impact of risk reduction on renewable energy support payments in Europe," Energy Policy, Elsevier, vol. 173(C).
    3. Spiecker, Stephan & Vogel, Philip & Weber, Christoph, 2013. "Evaluating interconnector investments in the north European electricity system considering fluctuating wind power penetration," Energy Economics, Elsevier, vol. 37(C), pages 114-127.
    4. Halbrügge, Stephanie & Schott, Paul & Weibelzahl, Martin & Buhl, Hans Ulrich & Fridgen, Gilbert & Schöpf, Michael, 2021. "How did the German and other European electricity systems react to the COVID-19 pandemic?," Applied Energy, Elsevier, vol. 285(C).
    5. Kazmi, Hussain & Tao, Zhenmin, 2022. "How good are TSO load and renewable generation forecasts: Learning curves, challenges, and the road ahead," Applied Energy, Elsevier, vol. 323(C).
    6. Dranka, Géremi Gilson & Ferreira, Paula & Vaz, A. Ismael F., 2021. "Integrating supply and demand-side management in renewable-based energy systems," Energy, Elsevier, vol. 232(C).
    7. Zheng, Yi & Wang, Jiawei & You, Shi & Li, Ximei & Bindner, Henrik W. & Münster, Marie, 2023. "Data-driven scheme for optimal day-ahead operation of a wind/hydrogen system under multiple uncertainties," Applied Energy, Elsevier, vol. 329(C).
    8. Filippos Ioannidis & Kyriaki Kosmidou & Kostas Andriosopoulos & Antigoni Everkiadi, 2021. "Assessment of the Target Model Implementation in the Wholesale Electricity Market of Greece," Energies, MDPI, vol. 14(19), pages 1-22, October.
    Full references (including those not matched with items on IDEAS)

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