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SOC Balancing and Coordinated Control Based on Adaptive Droop Coefficient Algorithm for Energy Storage Units in DC Microgrid

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  • Guizhen Tian

    (College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
    Inner Mongolia Regional Key Laboratory of Electrical Power Conversion, Transmission and Control, Hohhot 010080, China)

  • Yuding Zheng

    (College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China)

  • Guangchen Liu

    (College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
    Inner Mongolia Regional Key Laboratory of Electrical Power Conversion, Transmission and Control, Hohhot 010080, China)

  • Jianwei Zhang

    (College of Electric Power, Inner Mongolia University of Technology, Hohhot 010080, China
    Inner Mongolia Regional Key Laboratory of Electrical Power Conversion, Transmission and Control, Hohhot 010080, China)

Abstract

In order to achieve a state-of-charge (SOC) balance among multiple energy storage units (MESUs) in an islanded DC microgrid, a SOC balancing and coordinated control strategy based on the adaptive droop coefficient algorithm for MESUs is proposed. When the SOC deviation is significant, the droop coefficient for an energy storage unit (ESU) with a higher (or lower) SOC is set to a minimum value when discharging (or charging). The ESU with the higher (or lower) SOC is controlled to discharge (or charge) with the rated power, while the other ESU compensates for the remaining power when the demanded discharging (or charging) power is greater than the rated power of the individual ESU. Otherwise, when the demanded discharging (or charging) power is lower than the rated power of either ESU, the ESU with the higher (or lower) SOC releases (or absorbs) almost all the required power while the other ESU barely absorbs or releases power, thus quickly realizing SOC balancing. When the SOC deviation is slight, the fuzzy logic algorithm dynamically adjusts the droop coefficient and changes the power distribution relationship to balance the SOC accurately. Furthermore, a bus voltage recovery control scheme is employed to regulate the bus voltage, thus improving the voltage quality. The energy coordinated management strategy is adopted to ensure the power balance and stabilize the bus voltage in the DC microgrid. A simulation model is built in MATLAB/Simulink, and the simulation results demonstrate the effectiveness of the proposed control strategy in achieving fast and accurate SOC balance and regulating the bus voltage.

Suggested Citation

  • Guizhen Tian & Yuding Zheng & Guangchen Liu & Jianwei Zhang, 2022. "SOC Balancing and Coordinated Control Based on Adaptive Droop Coefficient Algorithm for Energy Storage Units in DC Microgrid," Energies, MDPI, vol. 15(8), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2943-:d:795827
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    1. Coelho, Vitor N. & Coelho, Igor M. & Coelho, Bruno N. & Reis, Agnaldo J.R. & Enayatifar, Rasul & Souza, Marcone J.F. & Guimarães, Frederico G., 2016. "A self-adaptive evolutionary fuzzy model for load forecasting problems on smart grid environment," Applied Energy, Elsevier, vol. 169(C), pages 567-584.
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    Cited by:

    1. Romain Mannini & Julien Eynard & Stéphane Grieu, 2022. "A Survey of Recent Advances in the Smart Management of Microgrids and Networked Microgrids," Energies, MDPI, vol. 15(19), pages 1-37, September.
    2. Ma, Yuechao & Wang, Shengtie & Liu, Guangchen & Tian, Guizhen & Zhang, Jianwei & Liu, Ruiming, 2024. "State-of-charge balancing strategy of battery energy storage units with a voltage balance function for a Bipolar DC mircrogrid," Applied Energy, Elsevier, vol. 356(C).
    3. Dat Thanh Tran & Al Faris Habibullah & Kyeong-Hwa Kim, 2022. "Seamless Power Management for a Distributed DC Microgrid with Minimum Communication Links under Transmission Time Delays," Sustainability, MDPI, vol. 14(22), pages 1-29, November.
    4. Xiang Li & Zhenya Ji & Fengkun Yang & Zhenlan Dou & Chunyan Zhang & Liangliang Chen, 2022. "A Distributed Two-Level Control Strategy for DC Microgrid Considering Safety of Charging Equipment," Energies, MDPI, vol. 15(22), pages 1-20, November.

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