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Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids

Author

Listed:
  • Zhe Chai

    (State Grid Henan Economic Research Institute, Zhengzhou 450052, China)

  • Yihan Zhang

    (State Grid Henan Economic Research Institute, Zhengzhou 450052, China)

  • Lanyi Wei

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

  • Junhui Liu

    (State Grid Henan Economic Research Institute, Zhengzhou 450052, China)

  • Yao Lu

    (State Grid Henan Economic Research Institute, Zhengzhou 450052, China)

  • Chunzheng Tian

    (State Grid Henan Economic Research Institute, Zhengzhou 450052, China)

  • Zhaoyuan Wu

    (School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

With the advancement of distributed power generation technology and the deepening of the low-carbon transformation of energy structure, a high proportion of renewable energy has become an inevitable trend in future energy systems, especially for microgrids. However, the volatility and uncertainty associated with renewable energy pose significant challenges to the secure and stable operation of power systems, necessitating the exploration of the flexible regulation of resources. Energy storage, as a crucial flexible resource characterized by technological diversity and a variety of regulation capabilities, has been extensively studied and applied. Nonetheless, the high investment costs and limited returns of energy storage technology, coupled with the ambiguous utility in different scenarios under the current electricity market’s framework, complicate its broader application. To thoroughly analyze the utility of energy storage in facilitating flexible adjustments in microgrids, this study developed a composite weight-TODIM (an acronym in Portuguese for interactive and multi-criteria decision making) model for assessing the utility of energy storage that incorporates heterogeneity in the risk preferences. This model enabled a comparative analysis of the utility of energy storage technology across multiple scenarios, taking the risk preferences of decision-makers into account, thereby providing strategic insights for the application of multi-temporal energy storage in microgrids. The feasibility and effectiveness of the model were validated through a case study analysis.

Suggested Citation

  • Zhe Chai & Yihan Zhang & Lanyi Wei & Junhui Liu & Yao Lu & Chunzheng Tian & Zhaoyuan Wu, 2024. "Value Evaluation Model of Multi-Temporal Energy Storage for Flexibility Provision in Microgrids," Energies, MDPI, vol. 17(9), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:9:p:2026-:d:1382540
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    References listed on IDEAS

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    1. Pablo L. Tabosa da Silva & Pedro A. Carvalho Rosas & José F. C. Castro & Davidson da Costa Marques & Ronaldo R. B. Aquino & Guilherme F. Rissi & Rafael C. Neto & Douglas C. P. Barbosa, 2023. "Power Smoothing Strategy for Wind Generation Based on Fuzzy Control Strategy with Battery Energy Storage System," Energies, MDPI, vol. 16(16), pages 1-16, August.
    2. Ziad M. Ali & Martin Calasan & Shady H. E. Abdel Aleem & Francisco Jurado & Foad H. Gandoman, 2023. "Applications of Energy Storage Systems in Enhancing Energy Management and Access in Microgrids: A Review," Energies, MDPI, vol. 16(16), pages 1-41, August.
    3. Llamazares, Bonifacio, 2018. "An analysis of the generalized TODIM method," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1041-1049.
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    1. Gharibvand, Hossein & Gharehpetian, G.B. & Anvari-Moghaddam, A., 2024. "A survey on microgrid flexibility resources, evaluation metrics and energy storage effects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 201(C).

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