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Scheduling Model for Renewable Energy Sources Integration in an Insular Power System

Author

Listed:
  • Gerardo J. Osório

    (Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilhã, Portugal)

  • Miadreza Shafie-khah

    (Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilhã, Portugal)

  • Juan M. Lujano-Rojas

    (Instituto de Engenharia de Sistemas e Computadores—Investigação e Desenvolvimento (INESC-ID), Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal)

  • João P. S. Catalão

    (Centre for Mechanical and Aerospace Science and Technologies (C-MAST), University of Beira Interior, 6201-001 Covilhã, Portugal
    Instituto de Engenharia de Sistemas e Computadores—Investigação e Desenvolvimento (INESC-ID), Instituto Superior Técnico, University of Lisbon, 1049-001 Lisbon, Portugal
    Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) and Faculty of Engineering of the University of Porto, 4200-465 Porto, Portugal)

Abstract

Insular power systems represent an asset and an excellent starting point for the development and analysis of innovative tools and technologies. The integration of renewable energy resources that has taken place in several islands in the south of Europe, particularly in Portugal, has brought more uncertainty to production management. In this work, an innovative scheduling model is proposed, which considers the integration of wind and solar resources in an insular power system in Portugal, with a strong conventional generation basis. This study aims to show the benefits of increasing the integration of renewable energy resources in this insular power system, and the objectives are related to minimizing the time for which conventional generation is in operation, maximizing profits, reducing production costs, and consequently, reducing greenhouse gas emissions.

Suggested Citation

  • Gerardo J. Osório & Miadreza Shafie-khah & Juan M. Lujano-Rojas & João P. S. Catalão, 2018. "Scheduling Model for Renewable Energy Sources Integration in an Insular Power System," Energies, MDPI, vol. 11(1), pages 1-16, January.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:144-:d:125807
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    References listed on IDEAS

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    Cited by:

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    3. Carlos Roldán-Blay & Vladimiro Miranda & Leonel Carvalho & Carlos Roldán-Porta, 2019. "Optimal Generation Scheduling with Dynamic Profiles for the Sustainable Development of Electricity Grids," Sustainability, MDPI, vol. 11(24), pages 1-26, December.
    4. Yeuntae Yoo & Gilsoo Jang & Jeong-Hwan Kim & Iseul Nam & Minhan Yoon & Seungmin Jung, 2019. "Accuracy Improvement Method of Energy Storage Utilization with DC Voltage Estimation in Large-Scale Photovoltaic Power Plants," Energies, MDPI, vol. 12(20), pages 1-15, October.
    5. Christos S. Ioakimidis & Konstantinos N. Genikomsakis, 2018. "Integration of Seawater Pumped-Storage in the Energy System of the Island of São Miguel (Azores)," Sustainability, MDPI, vol. 10(10), pages 1-14, September.
    6. Leena Heistrene & Brian Azzopardi & Amit Vilas Sant & Poonam Mishra, 2022. "Stochastic Generation Scheduling of Insular Grids with High Penetration of Photovoltaic and Battery Energy Storage Systems: South Andaman Island Case Study," Energies, MDPI, vol. 15(7), pages 1-21, April.
    7. Ahmed Al Mansur & Md. Ruhul Amin & Kazi Khairul Islam, 2019. "Performance Comparison of Mismatch Power Loss Minimization Techniques in Series-Parallel PV Array Configurations," Energies, MDPI, vol. 12(5), pages 1-21, March.

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