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Performance analysis and control-coordinated improvement method for distance protection of energy storage station grid-connected lines

Author

Listed:
  • He, Jiawei
  • Bu, Ningjing
  • Wen, Weijie
  • Li, Bin
  • Zhang, Shouhang
  • Zhou, Bohao
  • Wu, Jianzhong

Abstract

The centralized energy storage power stations play an important role in stabilizing the influence of renewable power fluctuations, regulating system voltage, etc. As we know, the protection, which can quickly and selectively identify the fault, is essential for the power system. However, the four-quadrant operation characteristics of energy storage station have a unique impact on the distance protection performance. In this paper, the operation performance of phase-comparison distance protection under four-quadrant operating characteristics of energy storage station is analyzed, and the strict mathematical relationship between the phase comparison result and positive/negative-sequence d-q-axes currents of the energy storage power conversion system (PCS) is derived. In addition, the effects of positive- and negative-sequence q-axes currents on the phase comparison result and system voltage are analyzed. On this basis, a q-axis current optimization injection strategy (QCOIS) for the energy storage PCS (also applicable to other full-rated power electronic devices) after faults is proposed, which can significantly increase the operation reliability and ability against transition resistance of the distance protection, while with no negative effects on system fault ride-through. Finally, the real-time digital simulation (RTDS) tests are carried out, to fully prove the correctness of the theoretical analysis and superiority of the proposed QCOIS in improving the reliable operation range of distance protection. For example, in the tested case, for the faults at 70 % position of the protected line, the protection ability against transition resistance is increased from 1 Ω to 6 Ω (energy storage in charge state) by QCOIS.

Suggested Citation

  • He, Jiawei & Bu, Ningjing & Wen, Weijie & Li, Bin & Zhang, Shouhang & Zhou, Bohao & Wu, Jianzhong, 2025. "Performance analysis and control-coordinated improvement method for distance protection of energy storage station grid-connected lines," Applied Energy, Elsevier, vol. 388(C).
    • Handle: RePEc:eee:appene:v:388:y:2025:i:c:s0306261925002454
    DOI: 10.1016/j.apenergy.2025.125515
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    References listed on IDEAS

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    1. Mu, Yunfei & Xu, Yanze & Zhang, Jiarui & Wu, Zeqing & Jia, Hongjie & Jin, Xiaolong & Qi, Yan, 2023. "A data-driven rolling optimization control approach for building energy systems that integrate virtual energy storage systems," Applied Energy, Elsevier, vol. 346(C).
    2. Jia, Ke & Li, Yanbin & Fang, Yu & Zheng, Liming & Bi, Tianshu & Yang, Qixun, 2018. "Transient current similarity based protection for wind farm transmission lines," Applied Energy, Elsevier, vol. 225(C), pages 42-51.
    3. Brouwer, Anne Sjoerd & van den Broek, Machteld & Seebregts, Ad & Faaij, André, 2015. "Operational flexibility and economics of power plants in future low-carbon power systems," Applied Energy, Elsevier, vol. 156(C), pages 107-128.
    4. Anandarajah, Gabrial & Gambhir, Ajay, 2014. "India’s CO2 emission pathways to 2050: What role can renewables play?," Applied Energy, Elsevier, vol. 131(C), pages 79-86.
    5. Mejia, Cristian & Kajikawa, Yuya, 2020. "Emerging topics in energy storage based on a large-scale analysis of academic articles and patents," Applied Energy, Elsevier, vol. 263(C).
    6. Kebede, Abraham Alem & Kalogiannis, Theodoros & Van Mierlo, Joeri & Berecibar, Maitane, 2022. "A comprehensive review of stationary energy storage devices for large scale renewable energy sources grid integration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    7. Joshua, Ann Mary & Vittal, K. Panduranga, 2023. "Superimposed current based differential protection scheme for AC microgrid feeders," Applied Energy, Elsevier, vol. 341(C).
    8. Killer, Marvin & Farrokhseresht, Mana & Paterakis, Nikolaos G., 2020. "Implementation of large-scale Li-ion battery energy storage systems within the EMEA region," Applied Energy, Elsevier, vol. 260(C).
    9. He, Jiawei & Xue, Lei & Li, Bin & Li, Ye & Prieto-Araujo, Eduardo & Gomis-Bellmunt, Oriol, 2025. "Protection and fault ride-through techniques of VSC-HVDC systems for offshore wind power transmission—Research status, challenges, and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(C).
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