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Characterization of a Fast Battery Energy Storage System for Primary Frequency Response

Author

Listed:
  • Karl Stein

    (Center for Climate Physics, Institute for Basic Science (IBS), Pusan National University, Busan 46241, Korea)

  • Moe Tun

    (HNU Photonics LLC, Kahului, HI 96732, USA)

  • Marc Matsuura

    (Hawai’i Natural Energy Institute, SOEST, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA)

  • Richard Rocheleau

    (Hawai’i Natural Energy Institute, SOEST, University of Hawai’i at Mānoa, Honolulu, HI 96822, USA)

Abstract

In response to increasing integration of renewable energy sources on electric grid systems, battery energy storage systems (BESSs) are being deployed world-wide to provide grid services, including fast frequency regulation. Without mitigating technologies, such as BESSs, highly variable renewables can cause operational and reliability problems on isolated grids. Prior to the deployment of a BESS, an electric utility company will typically perform modeling to estimate cost benefits and determine grid impacts. While there may be a comparison of grid operations before and after BESS installation, passive monitoring typically does not provide information needed to tune the BESS such that the desired services are maintained, while also minimizing the cycling of the BESS. This paper presents the results of testing from a live grid using a method that systematically characterizes the performance of a BESS. The method is sensitive enough to discern how changes in tuning parameters effect both grid service and the cycling of the BESS. This paper discusses the application of this methodology to a 1 MW BESS regulating the entire island of Hawaii (180 MW peak load) in-situ. Significant mitigation of renewable volatility was demonstrated while minimizing BESS cycling.

Suggested Citation

  • Karl Stein & Moe Tun & Marc Matsuura & Richard Rocheleau, 2018. "Characterization of a Fast Battery Energy Storage System for Primary Frequency Response," Energies, MDPI, vol. 11(12), pages 1-12, December.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:12:p:3358-:d:186896
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    References listed on IDEAS

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    Cited by:

    1. George Baure & Matthieu Dubarry, 2020. "Durability and Reliability of EV Batteries under Electric Utility Grid Operations: Impact of Frequency Regulation Usage on Cell Degradation," Energies, MDPI, vol. 13(10), pages 1-11, May.
    2. Sepasi, Saeed & Toledo, Silas & Kobayashi, Jonathan & Roose, Leon R. & Matsuura, Marc M. & Tran, Quynh T., 2023. "A practical solution for excess energy management in a diesel-backed microgrid with high renewable penetration," Renewable Energy, Elsevier, vol. 202(C), pages 581-588.
    3. Zhao, Chunyang & Andersen, Peter Bach & Træholt, Chresten & Hashemi, Seyedmostafa, 2023. "Grid-connected battery energy storage system: a review on application and integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    4. Karl Stein & Moe Tun & Keith Musser & Richard Rocheleau, 2018. "Evaluation of a 1 MW, 250 kW-hr Battery Energy Storage System for Grid Services for the Island of Hawaii," Energies, MDPI, vol. 11(12), pages 1-17, December.
    5. Houfei Lin & Jianxin Jin & Qidai Lin & Bo Li & Chengzhi Wei & Wenfa Kang & Minyou Chen, 2019. "Distributed Settlement of Frequency Regulation Based on a Battery Energy Storage System," Energies, MDPI, vol. 12(1), pages 1-17, January.
    6. Tae-Hwan Jin & Ki-Yeol Shin & Mo Chung & Geon-Pyo Lim, 2022. "Development and Performance Verification of Frequency Control Algorithm and Hardware Controller Using Real-Time Cyber Physical System Simulator," Energies, MDPI, vol. 15(15), pages 1-24, August.

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