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Cooperative Control Strategy of Optical Storage System Based on an Alternating Sequence Filter

Author

Listed:
  • Zifen Han

    (Electric Power Control Center, State Grid Gansu Electric Power Company, Lanzhou 730030, China)

  • Yun Zhang

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Biao Tian

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Yi Fan

    (Electric Power Control Center, State Grid Gansu Electric Power Company Zhangye Power Supply Branch, Zhangye 734000, China)

  • Chao Zhang

    (School of Mechano-Electronic Engineering, Xidian University, Xi’an 710071, China)

  • Huijuan Wu

    (Electric Power Control Center, State Grid Gansu Electric Power Company Zhangye Power Supply Branch, Zhangye 734000, China)

Abstract

Due to photovoltaic (PV) power generation depending on the environment, its output power is volatile, and effectively dealing with its power fluctuation has become a key concern. Aiming at this problem, this article presents an optical storage cooperative control technology based on an Alternating Sequence Filter (ASF), which controls the power management of the Energy Storage System (ESS) consisting of a vanadium redox battery, battery, and supercapacitor. Firstly, an ASF is designed to stabilize the PV power generation by alternating sequence and improve system response speed. Secondly, according to the output signal of the filter, the charge and discharge of the three energy storage units are dynamically adjusted, and the power fluctuation is compensated in real-time to improve the system stability and conversion efficiency. Finally, the simulation results of actual illumination show that the control strategy calls the ESS to stabilize the power fluctuation, so that the power of the direct current bus is stabilized at about 15 kw, and the fluctuation is maintained between −4.48% and 4.05%. The strategy significantly reduces power fluctuation and improves the dynamic response ability and energy storage utilization of the system.

Suggested Citation

  • Zifen Han & Yun Zhang & Biao Tian & Yi Fan & Chao Zhang & Huijuan Wu, 2024. "Cooperative Control Strategy of Optical Storage System Based on an Alternating Sequence Filter," Energies, MDPI, vol. 17(23), pages 1-15, November.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:23:p:5903-:d:1528555
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    References listed on IDEAS

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    1. Jiaqi Liu & Hongji Hu & Samson S. Yu & Hieu Trinh, 2023. "Virtual Power Plant with Renewable Energy Sources and Energy Storage Systems for Sustainable Power Grid-Formation, Control Techniques and Demand Response," Energies, MDPI, vol. 16(9), pages 1-28, April.
    2. Hui Huang & Shilin Nie & Jin Lin & Yuanyuan Wang & Jun Dong, 2020. "Optimization of Peer-to-Peer Power Trading in a Microgrid with Distributed PV and Battery Energy Storage Systems," Sustainability, MDPI, vol. 12(3), pages 1-20, January.
    3. Djamila Rekioua, 2023. "Energy Storage Systems for Photovoltaic and Wind Systems: A Review," Energies, MDPI, vol. 16(9), pages 1-26, May.
    4. Kang, Dongju & Kang, Doeun & Hwangbo, Sumin & Niaz, Haider & Lee, Won Bo & Liu, J. Jay & Na, Jonggeol, 2023. "Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning," Energy, Elsevier, vol. 284(C).
    5. Wang, Junjie & Ye, Li & Ding, Xiaoyu & Dang, Yaoguo, 2024. "A novel seasonal grey prediction model with time-lag and interactive effects for forecasting the photovoltaic power generation," Energy, Elsevier, vol. 304(C).
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