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Impacts of Large Scale Wind Penetration on Energy Supply Industry

Author

Listed:
  • John Kabouris

    (Hellenic Transmission System Operator, System Planning Department, Kastoros 72, 18545, Piraeus, Greece)

  • Fotis D. Kanellos

    (Hellenic Transmission System Operator, System Planning Department, Kastoros 72, 18545, Piraeus, Greece)

Abstract

Large penetration of Renewable Energy Sources (RES) impacts Energy Supply Industry (ESI) in many aspects leading to a fundamental change in electric power systems. It raises a number of technical challenges to the Transmission System Operators (TSOs), Distribution System Operators (DSOs) and Wind Turbine Generators (WTG) constructors. This paper aims to present in a thorough and coherent way the redrawn picture for Energy Systems under these conditions. Topics related to emergent technical challenges, technical solutions required and finally the impact on ESI due to large wind power penetration, are analyzed. Finally, general conclusions are extracted about the ESI current and future state and general directions are recommended.

Suggested Citation

  • John Kabouris & Fotis D. Kanellos, 2009. "Impacts of Large Scale Wind Penetration on Energy Supply Industry," Energies, MDPI, vol. 2(4), pages 1-11, November.
    • Handle: RePEc:gam:jeners:v:2:y:2009:i:4:p:1031-1041:d:6142
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    References listed on IDEAS

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    1. Klessmann, Corinna & Nabe, Christian & Burges, Karsten, 2008. "Pros and cons of exposing renewables to electricity market risks--A comparison of the market integration approaches in Germany, Spain, and the UK," Energy Policy, Elsevier, vol. 36(10), pages 3646-3661, October.
    2. Jursa, René & Rohrig, Kurt, 2008. "Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models," International Journal of Forecasting, Elsevier, vol. 24(4), pages 694-709.
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    Cited by:

    1. Ioannidis, Filippos & Kosmidou, Kyriaki & Makridou, Georgia & Andriosopoulos, Kostas, 2019. "Market design of an energy exchange: The case of Greece," Energy Policy, Elsevier, vol. 133(C).
    2. Dinh Thanh Viet & Vo Van Phuong & Minh Quan Duong & Quoc Tuan Tran, 2020. "Models for Short-Term Wind Power Forecasting Based on Improved Artificial Neural Network Using Particle Swarm Optimization and Genetic Algorithms," Energies, MDPI, vol. 13(11), pages 1-22, June.
    3. David De la Vega & James C. G. Matthews & Lars Norin & Itziar Angulo, 2013. "Mitigation Techniques to Reduce the Impact of Wind Turbines on Radar Services," Energies, MDPI, vol. 6(6), pages 1-15, June.
    4. Oscar Barambones, 2012. "Sliding Mode Control Strategy for Wind Turbine Power Maximization," Energies, MDPI, vol. 5(7), pages 1-21, July.
    5. Shih-Chieh Huang & Shang-Lien Lo & Yen-Ching Lin, 2013. "To Re-Explore the Causality between Barriers to Renewable Energy Development: A Case Study of Wind Energy," Energies, MDPI, vol. 6(9), pages 1-24, August.
    6. Wen-Yeau Chang, 2013. "Short-Term Wind Power Forecasting Using the Enhanced Particle Swarm Optimization Based Hybrid Method," Energies, MDPI, vol. 6(9), pages 1-18, September.
    7. Perica Ilak & Slavko Krajcar & Ivan Rajšl & Marko Delimar, 2014. "Pricing Energy and Ancillary Services in a Day-Ahead Market for a Price-Taker Hydro Generating Company Using a Risk-Constrained Approach," Energies, MDPI, vol. 7(4), pages 1-26, April.
    8. Tao Ding & Qinglai Guo & Rui Bo & Hongbin Sun & Boming Zhang & Tian-en Huang, 2014. "A Static Voltage Security Region for Centralized Wind Power Integration—Part II: Applications," Energies, MDPI, vol. 7(1), pages 1-18, January.
    9. Nikolaos E. Koltsaklis & Athanasios S. Dagoumas, 2021. "A power system scheduling model with carbon intensity and ramping capacity constraints," Operational Research, Springer, vol. 21(1), pages 647-687, March.

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