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Modelling of Distributed Resource Aggregation for the Provision of Ancillary Services

Author

Listed:
  • Adam Lesniak

    (Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Str. 18/22, PL 90-924 Lodz, Poland)

  • Dawid Chudy

    (Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Str. 18/22, PL 90-924 Lodz, Poland)

  • Rafal Dzikowski

    (Institute of Electrical Power Engineering, Lodz University of Technology, Stefanowskiego Str. 18/22, PL 90-924 Lodz, Poland)

Abstract

Nowadays, ancillary services (ASs) are usually provided by large power generating units located in transmission networks, while smaller assets connected to distribution systems remain passive. It is expected that active distribution systems will start to play an important role due to numerous issues related to power system operation caused mainly by developing renewable generation and restrictions imposed on conventional power generating units by climate policies. The future development of the power system management will also lead to the establishment of new market agents such as distributed resource aggregators (DRAs). The article presents the concept of the DRA as part of an active distribution system enabling small resources to participate in wholesale markets, provide ASs and indicates the functions of the DRA coordinator in the modern power system. The proposed method of the DRA structure modelling with the use of the mixed-integer linear programming (MILP) is aimed at evaluating the optimal operation pattern of participating resources, the desired shape of the load profile at the point of common coupling (PCC) and the AS provision. The performed simulations of the DRA’s operation show that various types of aggregated resources located in distribution networks are able to provide different services effectively to support the power system in terms of load–generation balancing and allow for further development of renewables.

Suggested Citation

  • Adam Lesniak & Dawid Chudy & Rafal Dzikowski, 2020. "Modelling of Distributed Resource Aggregation for the Provision of Ancillary Services," Energies, MDPI, vol. 13(18), pages 1-16, September.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:18:p:4598-:d:408887
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    References listed on IDEAS

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    1. Calvillo, C.F. & Sánchez-Miralles, A. & Villar, J. & Martín, F., 2016. "Optimal planning and operation of aggregated distributed energy resources with market participation," Applied Energy, Elsevier, vol. 182(C), pages 340-357.
    2. Alexandre Lucas & Luca Jansen & Nikoleta Andreadou & Evangelos Kotsakis & Marcelo Masera, 2019. "Load Flexibility Forecast for DR Using Non-Intrusive Load Monitoring in the Residential Sector," Energies, MDPI, vol. 12(14), pages 1-19, July.
    3. Rui Li & Wei Wang & Zhe Chen & Jiuchun Jiang & Weige Zhang, 2017. "A Review of Optimal Planning Active Distribution System: Models, Methods, and Future Researches," Energies, MDPI, vol. 10(11), pages 1-27, October.
    4. Poplavskaya, Ksenia & de Vries, Laurens, 2019. "Distributed energy resources and the organized balancing market: A symbiosis yet? Case of three European balancing markets," Energy Policy, Elsevier, vol. 126(C), pages 264-276.
    5. Chalvatzis, Konstantinos J. & Ioannidis, Alexis, 2017. "Energy supply security in the EU: Benchmarking diversity and dependence of primary energy," Applied Energy, Elsevier, vol. 207(C), pages 465-476.
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    Cited by:

    1. Giovanni Brusco & Daniele Menniti & Anna Pinnarelli & Nicola Sorrentino & Pasquale Vizza, 2023. "Power Cloud Framework for Prosumer Aggregation to Unlock End-User Flexibility," Energies, MDPI, vol. 16(20), pages 1-17, October.
    2. Dawid Chudy & Adam Leśniak, 2021. "Advantages of Applying Large-Scale Energy Storage for Load-Generation Balancing," Energies, MDPI, vol. 14(11), pages 1-17, May.
    3. Waldemar Niewiadomski & Aleksandra Baczyńska, 2021. "Advanced Flexibility Market for System Services Based on TSO–DSO Coordination and Usage of Distributed Resources," Energies, MDPI, vol. 14(17), pages 1-31, September.

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