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Influence of renewable energy sources on transmission networks in Central Europe

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  • Karel Janda
  • Jan Malek
  • Lukas Recka

Abstract

This paper focuses on the influence of increased wind and solar power production on the transmission networks in Central Europe. To assess the exact impact on the transmission grid, the direct current load flow model ELMOD is employed. Two development scenarios for the year 2025 are evaluated on the basis of four representative weeks. The first scenario focuses on the effect of Energiewende on the transmission networks, the second one drops out nuclear phase-out and thus assesses isolated effect of increased feed-in. The results indicate that higher feeding of solar and wind power increases the exchange balance and total transport of electricity between transmission system operator areas as well as the average load of lines and volatility of flows. Solar power is identified as a key contributor to the volatility increase; wind power is identified as a key loop-flow contributor. Eventually, it is concluded that German nuclear phase-out does not significantly exacerbate mentioned problems.

Suggested Citation

  • Karel Janda & Jan Malek & Lukas Recka, 2016. "Influence of renewable energy sources on transmission networks in Central Europe," CAMA Working Papers 2016-68, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    • Handle: RePEc:een:camaaa:2016-68
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    Cited by:

    1. Jan Málek & Lukáš Recka & Karel Janda, 2017. "Impact of German Energiewende on transmission lines in the Central European region," CAMA Working Papers 2017-72, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Eicke, Anselm & Schittekatte, Tim, 2022. "Fighting the wrong battle? A critical assessment of arguments against nodal electricity prices in the European debate," Energy Policy, Elsevier, vol. 170(C).
    3. Saez, Yago & Mochon, Asuncion & Corona, Luis & Isasi, Pedro, 2019. "Integration in the European electricity market: A machine learning-based convergence analysis for the Central Western Europe region," Energy Policy, Elsevier, vol. 132(C), pages 549-566.
    4. Levieux, Luis Ignacio & Ocampo-Martinez, Carlos & Inthamoussou, Fernando A. & De Battista, Hernán, 2021. "Predictive management approach for the coordination of wind and water-based power supplies," Energy, Elsevier, vol. 219(C).
    5. Armstrong, P.M. & Bhagavathy, S.M. & Kang, R. & McCulloch, M., 2019. "Pitfalls in decarbonising heat: A misalignment of climate policy and product energy labelling standards," Energy Policy, Elsevier, vol. 131(C), pages 390-398.
    6. Abadie, Luis María & Chamorro, José Manuel, 2021. "Evaluation of a cross-border electricity interconnection: The case of Spain-France," Energy, Elsevier, vol. 233(C).
    7. Croonenbroeck, Carsten & Palm, Marcel, 2020. "A spatio-temporal Durbin fixed effects IV-Model for ENTSO-E electricity flows analysis," Renewable Energy, Elsevier, vol. 148(C), pages 205-213.
    8. Davi-Arderius, Daniel & Jamasb, Tooraj & Rosellon, Juan, 2024. "Renewable Integration and Power System Operation: The Role of Market Conditions," Working Papers 3-2024, Copenhagen Business School, Department of Economics.
    9. Bernhard Faessler, 2021. "Stationary, Second Use Battery Energy Storage Systems and Their Applications: A Research Review," Energies, MDPI, vol. 14(8), pages 1-19, April.
    10. Karel Janda & Jan Málek & Lukáš Rečka, 2017. "Vliv obnovitelných zdrojů na českou soustavu přenosu elektřiny [The Impact of Renewable Energy Sources on the Czech Electricity Transmission System]," Politická ekonomie, Prague University of Economics and Business, vol. 2017(6), pages 728-750.
    11. Ziesemer, Thomas, 2018. "Fluctuations in renewable electricity supply: Gains from international trade through infrastructure?," MERIT Working Papers 2018-014, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    12. Davi-Arderius, Daniel & Schittekatte, Tim, 2023. "Environmental Impacts of Redispatching in Decarbonizing Electricity Systems: A Spanish Case Study," Working Papers 1-2023, Copenhagen Business School, Department of Economics.
    13. Federica Leone & Ala Hasan & Francesco Reda & Hassam ur Rehman & Fausto Carmelo Nigrelli & Francesco Nocera & Vincenzo Costanzo, 2023. "Supporting Cities towards Carbon Neutral Transition through Territorial Acupuncture," Sustainability, MDPI, vol. 15(5), pages 1-31, February.
    14. Karel Janda & Jan Malek & Lukas Recka, 2017. "The Influence of Renewable Energy Sources on the Czech Electricity Transmission System," Working Papers IES 2017/06, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2017.
    15. Luňáčková, Petra & Průša, Jan & Janda, Karel, 2017. "The merit order effect of Czech photovoltaic plants," Energy Policy, Elsevier, vol. 106(C), pages 138-147.
    16. Kratochvíl, Petr & Mišík, Matúš, 2020. "Bad external actors and good nuclear energy: Media discourse on energy supplies in the Czech Republic and Slovakia," Energy Policy, Elsevier, vol. 136(C).
    17. Navon, Aviad & Kulbekov, Pavel & Dolev, Shahar & Yehuda, Gil & Levron, Yoash, 2020. "Integration of distributed renewable energy sources in Israel: Transmission congestion challenges and policy recommendations," Energy Policy, Elsevier, vol. 140(C).

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    More about this item

    Keywords

    Energiewende; RES; transmission networks; congestion; loop flows; ELMOD; Central Europe;
    All these keywords.

    JEL classification:

    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • Q21 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Demand and Supply; Prices
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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