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Coordinated Frequency and State-of-Charge Control with Multi-Battery Energy Storage Systems and Diesel Generators in an Isolated Microgrid

Author

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  • Jae-Won Chang

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

  • Gyu-Sub Lee

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

  • Hyeon-Jin Moon

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

  • Mark B. Glick

    (Hawaii Natural Energy Institute, University of Hawaii at Manoa, 1680 East-West Road, Honolulu, HI 67822, USA)

  • Seung-Il Moon

    (Department of Electrical and Computer Engineering, Seoul National University, 1 Gwanak-ro, Seoul 08826, Korea)

Abstract

Recently, isolated microgrids have been operated using renewable energy sources (RESs), diesel generators, and battery energy storage systems (BESSs) for an economical and reliable power supply to loads. The concept of the complementary control, in which power imbalances are managed by diesel generators in the long time scale and BESSs in the short time scale, is widely adopted in isolated microgrids for efficient and stable operation. This paper proposes a new complementary control strategy for regulating the frequency and state of charge (SOC) when the system has multiple diesel generators and BESSs. In contrast to conventional complementary control, the proposed control strategy enables the parallel operation of diesel generators and BESSs, as well as SOC management. Furthermore, diesel generators regulate the equivalent SOC of BESSs with hierarchical control. Additionally, BESSs regulate the frequency of the system with hierarchical control and manage their individual SOCs. We conducted a case study by using Simulink/MATLAB to verify the effectiveness of the proposed control strategy in comparison with conventional complementary control.

Suggested Citation

  • Jae-Won Chang & Gyu-Sub Lee & Hyeon-Jin Moon & Mark B. Glick & Seung-Il Moon, 2019. "Coordinated Frequency and State-of-Charge Control with Multi-Battery Energy Storage Systems and Diesel Generators in an Isolated Microgrid," Energies, MDPI, vol. 12(9), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1614-:d:226613
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    References listed on IDEAS

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    1. Etxegarai, Agurtzane & Eguia, Pablo & Torres, Esther & Iturregi, Araitz & Valverde, Victor, 2015. "Review of grid connection requirements for generation assets in weak power grids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1501-1514.
    2. Hyeon-Jin Moon & Young Jin Kim & Jae Won Chang & Seung-Il Moon, 2019. "Decentralised Active Power Control Strategy for Real-Time Power Balance in an Isolated Microgrid with an Energy Storage System and Diesel Generators," Energies, MDPI, vol. 12(3), pages 1-22, February.
    3. Ng, Kong Soon & Moo, Chin-Sien & Chen, Yi-Ping & Hsieh, Yao-Ching, 2009. "Enhanced coulomb counting method for estimating state-of-charge and state-of-health of lithium-ion batteries," Applied Energy, Elsevier, vol. 86(9), pages 1506-1511, September.
    4. Yun-Su Kim & Chul-Sang Hwang & Eung-Sang Kim & Changhee Cho, 2016. "State of Charge-Based Active Power Sharing Method in a Standalone Microgrid with High Penetration Level of Renewable Energy Sources," Energies, MDPI, vol. 9(7), pages 1-13, June.
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    Cited by:

    1. Fauzan Hanif Jufri & Jaesung Jung & Budi Sudiarto & Iwa Garniwa, 2023. "Development of Virtual Inertia Control with State-of-Charge Recovery Strategy Using Coordinated Secondary Frequency Control for Optimized Battery Capacity in Isolated Low Inertia Grid," Energies, MDPI, vol. 16(14), pages 1-22, July.

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