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A Comprehensive Review on Energy Storage System Optimal Planning and Benefit Evaluation Methods in Smart Grids

Author

Listed:
  • Fan Li

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Dan Wang

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Dong Liu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Songheng Yang

    (Department of Electrical Engineering, Tsinghua University, Beijing 100084, China)

  • Ke Sun

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Zhongjian Liu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Haoyang Yu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

  • Jishuo Qin

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102209, China)

Abstract

Smart grids are the ultimate goal of power system development. With access to a high proportion of renewable energy, energy storage systems, with their energy transfer capacity, have become a key part of the smart grid construction process. This paper first summarizes the challenges brought by the high proportion of new energy generation to smart grids and reviews the classification of existing energy storage technologies in the smart grid environment and the practical application functions of energy storage in smart grids. Secondly, optimization planning and the benefit evaluation methods of energy storage technologies in the three different main application scenarios, including the grid side, user side, and new energy side, are analyzed. The advantages and shortcomings of the current research are also pointed out. Furthermore, the paper sheds light on the pressing issues that demand further consideration in energy storage planning. Finally, the aspects that warrant attention in the future application and promotion processes are elucidated in detail, culminating in a comprehensive understanding of the energy storage technologies in smart grids.

Suggested Citation

  • Fan Li & Dan Wang & Dong Liu & Songheng Yang & Ke Sun & Zhongjian Liu & Haoyang Yu & Jishuo Qin, 2023. "A Comprehensive Review on Energy Storage System Optimal Planning and Benefit Evaluation Methods in Smart Grids," Sustainability, MDPI, vol. 15(12), pages 1-25, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:12:p:9584-:d:1171153
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    References listed on IDEAS

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    1. Benitez, Liliana E. & Benitez, Pablo C. & van Kooten, G. Cornelis, 2008. "The economics of wind power with energy storage," Energy Economics, Elsevier, vol. 30(4), pages 1973-1989, July.
    2. Van-Hai Bui & Akhtar Hussain & Hak-Man Kim, 2019. "Q-Learning-Based Operation Strategy for Community Battery Energy Storage System (CBESS) in Microgrid System," Energies, MDPI, vol. 12(9), pages 1-17, May.
    3. Shang, Yuwei & Wu, Wenchuan & Guo, Jianbo & Ma, Zhao & Sheng, Wanxing & Lv, Zhe & Fu, Chenran, 2020. "Stochastic dispatch of energy storage in microgrids: An augmented reinforcement learning approach," Applied Energy, Elsevier, vol. 261(C).
    4. Hemmati, Reza & Saboori, Hedayat, 2016. "Emergence of hybrid energy storage systems in renewable energy and transport applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 11-23.
    5. Yu, Kunyang & Liu, Yushi & Yang, Yingzi, 2021. "Review on form-stable inorganic hydrated salt phase change materials: Preparation, characterization and effect on the thermophysical properties," Applied Energy, Elsevier, vol. 292(C).
    6. Diaf, S. & Belhamel, M. & Haddadi, M. & Louche, A., 2008. "Technical and economic assessment of hybrid photovoltaic/wind system with battery storage in Corsica island," Energy Policy, Elsevier, vol. 36(2), pages 743-754, February.
    Full references (including those not matched with items on IDEAS)

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