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Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time

Author

Listed:
  • Tiago Soares

    (INESC Technology and Science (INESC TEC), 4200-465 Porto, Portugal)

  • Marco Silva

    (Department of Electrical Engineering, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering-Polytechnic of Porto (ISEP/IPP), 4249-015 Porto, Portugal)

  • Tiago Sousa

    (Department of Electrical Engineering, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering-Polytechnic of Porto (ISEP/IPP), 4249-015 Porto, Portugal
    Department of Electrical Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark)

  • Hugo Morais

    (Department of Electrical Engineering, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering-Polytechnic of Porto (ISEP/IPP), 4249-015 Porto, Portugal)

  • Zita Vale

    (Department of Electrical Engineering, Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development (GECAD), Institute of Engineering-Polytechnic of Porto (ISEP/IPP), 4249-015 Porto, Portugal)

Abstract

The increasing penetration of distributed energy resources based on renewable energy sources in distribution systems leads to a more complex management of power systems. Consequently, ancillary services become even more important to maintain the system security and reliability. This paper proposes and evaluates a generic model for day-ahead, intraday (hour-ahead) and real-time scheduling, considering the joint optimization of energy and reserve in the scope of the virtual power player concept. The model aims to minimize the operation costs in the point of view of one aggregator agent taking into account the balance of the distribution system. For each scheduling stage, previous scheduling results and updated forecasts are considered. An illustrative test case of a distribution network with 33 buses, considering a large penetration of distribution energy resources allows demonstrating the benefits of the proposed model.

Suggested Citation

  • Tiago Soares & Marco Silva & Tiago Sousa & Hugo Morais & Zita Vale, 2017. "Energy and Reserve under Distributed Energy Resources Management—Day-Ahead, Hour-Ahead and Real-Time," Energies, MDPI, vol. 10(11), pages 1-18, November.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:11:p:1778-:d:117628
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    References listed on IDEAS

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    5. Arslan, Okan & Karasan, Oya Ekin, 2013. "Cost and emission impacts of virtual power plant formation in plug-in hybrid electric vehicle penetrated networks," Energy, Elsevier, vol. 60(C), pages 116-124.
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    Cited by:

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    3. Mendecka, Barbara & Cozzolino, Raffaello & Leveni, Martina & Bella, Gino, 2019. "Energetic and exergetic performance evaluation of a solar cooling and heating system assisted with thermal storage," Energy, Elsevier, vol. 176(C), pages 816-829.
    4. Konstantinos Kotsalos & Ismael Miranda & Nuno Silva & Helder Leite, 2019. "A Horizon Optimization Control Framework for the Coordinated Operation of Multiple Distributed Energy Resources in Low Voltage Distribution Networks," Energies, MDPI, vol. 12(6), pages 1-27, March.

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