IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i22p4330-d286555.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/22/4330/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/12/22/4330/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. 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.
    3. Araoye, Timothy Oluwaseun & Ashigwuike, Evans Chinemezu & Mbunwe, Muncho Josephine & Bakinson, Oladipupo Idris & Ozue, ThankGod Izuchukwu, 2024. "Techno-economic modeling and optimal sizing of autonomous hybrid microgrid renewable energy system for rural electrification sustainability using HOMER and grasshopper optimization algorithm," Renewable Energy, Elsevier, vol. 229(C).
    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).
    6. Sulman Shahzad & Elżbieta Jasińska, 2024. "Renewable Revolution: A Review of Strategic Flexibility in Future Power Systems," Sustainability, MDPI, vol. 16(13), pages 1-24, June.
    7. Antonio T. Alexandridis, 2020. "Modern Power System Dynamics, Stability and Control," Energies, MDPI, vol. 13(15), pages 1-8, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hossam M. Hussein & Ahmed Aghmadi & Mahmoud S. Abdelrahman & S M Sajjad Hossain Rafin & Osama Mohammed, 2024. "A review of battery state of charge estimation and management systems: Models and future prospective," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 13(1), January.
    2. Alfredo Alvarez-Diazcomas & Adyr A. Estévez-Bén & Juvenal Rodríguez-Reséndiz & Miguel-Angel Martínez-Prado & Roberto V. Carrillo-Serrano & Suresh Thenozhi, 2020. "A Review of Battery Equalizer Circuits for Electric Vehicle Applications," Energies, MDPI, vol. 13(21), pages 1-29, October.
    3. Carlos A. Platero & José A. Sánchez & Christophe Nicolet & Philippe Allenbach, 2019. "Hydropower Plants Frequency Regulation Depending on Upper Reservoir Water Level," Energies, MDPI, vol. 12(9), pages 1-15, April.
    4. Theodoros Kalogiannis & Md Sazzad Hosen & Mohsen Akbarzadeh Sokkeh & Shovon Goutam & Joris Jaguemont & Lu Jin & Geng Qiao & Maitane Berecibar & Joeri Van Mierlo, 2019. "Comparative Study on Parameter Identification Methods for Dual-Polarization Lithium-Ion Equivalent Circuit Model," Energies, MDPI, vol. 12(21), pages 1-35, October.
    5. Muhammad Umair Ali & Amad Zafar & Sarvar Hussain Nengroo & Sadam Hussain & Muhammad Junaid Alvi & Hee-Je Kim, 2019. "Towards a Smarter Battery Management System for Electric Vehicle Applications: A Critical Review of Lithium-Ion Battery State of Charge Estimation," Energies, MDPI, vol. 12(3), pages 1-33, January.
    6. Maheshwari, A. & Nageswari, S., 2022. "Real-time state of charge estimation for electric vehicle power batteries using optimized filter," Energy, Elsevier, vol. 254(PB).
    7. Yi, Yahui & Xia, Chengyu & Shi, Lei & Meng, Leifeng & Chi, Qifu & Qian, Liqin & Ma, Tiancai & Chen, Siqi, 2024. "Lithium-ion battery expansion mechanism and Gaussian process regression based state of charge estimation with expansion characteristics," Energy, Elsevier, vol. 292(C).
    8. Bin-Hao Chen & Chen-Hsiang Hsieh & Li-Tao Teng & Chien-Chung Huang, 2023. "Experimental Study on Temperature Sensitivity of the State of Charge of Aluminum Battery Storage System," Energies, MDPI, vol. 16(11), pages 1-30, May.
    9. Yang, Bowen & Wang, Dafang & Yu, Beike & Wang, Facheng & Chen, Shiqin & Sun, Xu & Dong, Haosong, 2024. "Research on online passive electrochemical impedance spectroscopy and its outlook in battery management," Applied Energy, Elsevier, vol. 363(C).
    10. Xiao, Jie & Xiong, Yonglian & Zhu, Yucheng & Zhang, Chao & Yi, Ting & Qian, Xing & Fan, Yongsheng & Hou, Quanhui, 2024. "Multi-innovation adaptive Kalman filter algorithm for estimating the SOC of lithium-ion batteries based on singular value decomposition and Schmidt orthogonal transformation," Energy, Elsevier, vol. 312(C).
    11. Ma, Shuai & Lin, Meng & Lin, Tzu-En & Lan, Tian & Liao, Xun & Maréchal, François & Van herle, Jan & Yang, Yongping & Dong, Changqing & Wang, Ligang, 2021. "Fuel cell-battery hybrid systems for mobility and off-grid applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    12. Carola Leone & Laura Sturaro & Giacomo Geroli & Michela Longo & Wahiba Yaici, 2021. "Design and Implementation of an Electric Skibus Line in North Italy," Energies, MDPI, vol. 14(23), pages 1-22, November.
    13. Aleš Hace, 2019. "The Advanced Control Approach based on SMC Design for the High-Fidelity Haptic Power Lever of a Small Hybrid Electric Aircraft," Energies, MDPI, vol. 12(15), pages 1-31, August.
    14. Muhammed Cavus & Dilum Dissanayake & Margaret Bell, 2025. "Next Generation of Electric Vehicles: AI-Driven Approaches for Predictive Maintenance and Battery Management," Energies, MDPI, vol. 18(5), pages 1-41, February.
    15. Junli Deng & Yuan Mao & Yun Yang, 2020. "Distribution Power Loss Reduction of Standalone DC Microgrids Using Adaptive Differential Evolution-Based Control for Distributed Battery Systems," Energies, MDPI, vol. 13(9), pages 1-15, April.
    16. Bogdan Cristian Florea & Dragos Daniel Taralunga, 2020. "Blockchain IoT for Smart Electric Vehicles Battery Management," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
    17. Bizhong Xia & Rui Huang & Zizhou Lao & Ruifeng Zhang & Yongzhi Lai & Weiwei Zheng & Huawen Wang & Wei Wang & Mingwang Wang, 2018. "Online Parameter Identification of Lithium-Ion Batteries Using a Novel Multiple Forgetting Factor Recursive Least Square Algorithm," Energies, MDPI, vol. 11(11), pages 1-19, November.
    18. Wenbo Ren & Xinran Bian & Jiayuan Gong & Anqing Chen & Ming Li & Zhuofei Xia & Jingnan Wang, 2022. "Analysis and Visualization of New Energy Vehicle Battery Data," Future Internet, MDPI, vol. 14(8), pages 1-16, July.
    19. Youssef NaitMalek & Mehdi Najib & Anas Lahlou & Mohamed Bakhouya & Jaafar Gaber & Mohamed Essaaidi, 2022. "A Hybrid Approach for State-of-Charge Forecasting in Battery-Powered Electric Vehicles," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    20. Zeeshan Ahmad Khan & Prashant Shrivastava & Syed Muhammad Amrr & Saad Mekhilef & Abdullah A. Algethami & Mehdi Seyedmahmoudian & Alex Stojcevski, 2022. "A Comparative Study on Different Online State of Charge Estimation Algorithms for Lithium-Ion Batteries," Sustainability, MDPI, vol. 14(12), pages 1-19, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:22:p:4330-:d:286555. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.