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Validating Performance Models for Hybrid Power Plant Control Assessment

Author

Listed:
  • Lennart Petersen

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark
    Vestas Wind Systems, 8200 Aarhus N, Denmark)

  • Florin Iov

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

  • German Claudio Tarnowski

    (Vestas Wind Systems, 8200 Aarhus N, Denmark)

  • Vahan Gevorgian

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Przemyslaw Koralewicz

    (National Renewable Energy Laboratory, Golden, CO 80401, USA)

  • Daniel-Ioan Stroe

    (Department of Energy Technology, Aalborg University, 9220 Aalborg, Denmark)

Abstract

The need for simple, but accurate performance models of wind turbine generators (WTGs), photovoltaic (PV) plants, and battery energy storage systems (BESS) for various hybrid power plant (HPP) studies motivates the present work. Particularly, the development and verification stage of HPP controls requires reduced-order models to minimize the complexity and computation effort of simulation platforms. In this paper, such models are proposed, and the most essential parts of the models are validated through field measurements. The models target power system integration studies involving active and reactive power, as well as frequency and voltage regulation where detailed models, as proposed in the standards, can be cumbersome. Field measurements of two Vestas WTGs, one 1-MW PV plant, and one 1-MW/1-MWh BESS are used for model validation. The results show that the WTG and PV performance models correctly estimate the power generation variability according to fluctuations in wind speed and solar irradiance. The BESS performance model provides satisfactory results related to grid-forming control performance and estimation of state-of-charge. The presented validation work enables using the proposed performance models for power system studies and HPP control design in all model-based design stages, that is, preliminary analysis, design, verification, and validation with a high level of confidence.

Suggested Citation

  • Lennart Petersen & Florin Iov & German Claudio Tarnowski & Vahan Gevorgian & Przemyslaw Koralewicz & Daniel-Ioan Stroe, 2019. "Validating Performance Models for Hybrid Power Plant Control Assessment," Energies, MDPI, vol. 12(22), pages 1-26, November.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4330-:d:286555
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    References listed on IDEAS

    as
    1. Daniel Vázquez Pombo & Florin Iov & Daniel-Ioan Stroe, 2019. "A Novel Control Architecture for Hybrid Power Plants to Provide Coordinated Frequency Reserves," Energies, MDPI, vol. 12(5), pages 1-17, March.
    2. Ruifeng Zhang & Bizhong Xia & Baohua Li & Libo Cao & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang, 2018. "State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles," Energies, MDPI, vol. 11(7), pages 1-36, July.
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    Citations

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    Cited by:

    1. Ayman B. Attya & Adam Vickers, 2021. "Operation and Control of a Hybrid Power Plant with the Capability of Grid Services Provision," Energies, MDPI, vol. 14(13), pages 1-15, June.
    2. Antonio T. Alexandridis, 2020. "Modern Power System Dynamics, Stability and Control," Energies, MDPI, vol. 13(15), pages 1-8, July.
    3. Lennart Petersen & Florin Iov & German Claudio Tarnowski, 2019. "A Model-Based Design Approach for Stability Assessment, Control Tuning and Verification in Off-Grid Hybrid Power Plants," Energies, MDPI, vol. 13(1), pages 1-26, December.
    4. Florin Iov & Mahmood Khatibi & Jan Dimon Bendtsen, 2020. "On the Participation of Power-To-Heat Assets in Frequency Regulation Markets—A Danish Case Study," Energies, MDPI, vol. 13(18), pages 1-22, September.
    5. Musca, Rossano & Vasile, Antony & Zizzo, Gaetano, 2022. "Grid-forming converters. A critical review of pilot projects and demonstrators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 165(C).

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