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A Review and Prospective Study on Modeling Approaches and Applications of Virtual Energy Storage in Integrated Electric–Thermal Energy Systems

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  • Qitong Fu

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Zuoxia Xing

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Chao Zhang

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

  • Jian Xu

    (School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China)

Abstract

The increasing use of renewable energy sources introduces significant fluctuations in power generation, demanding enhanced regulatory capabilities to maintain the balance between power supply and demand. To promote multi-energy coupling and the local consumption of renewable energy, integrated energy systems have become a focal point of multidisciplinary research. This study models adjustable sources, networks, and loads within electric–thermal integrated energy systems as energy storage entities, forming virtual energy storage systems to participate in the optimization and scheduling of integrated energy systems. This paper investigates the modeling and control strategies of virtual energy storage systems within electric–thermal integrated energy systems. Initially, it introduces the definition, logical architecture, and technical connotations of virtual energy storage. Next, it models temperature-controlled loads as virtual energy storage systems and compares them with traditional energy storage systems, analyzing their characteristic differences and summarizing virtual energy storage system modeling methods and characteristic indicators. This paper then focuses on the specific applications of virtual energy storage systems in four typical scenarios. Finally, it explores the future development directions of virtual energy storage.

Suggested Citation

  • Qitong Fu & Zuoxia Xing & Chao Zhang & Jian Xu, 2024. "A Review and Prospective Study on Modeling Approaches and Applications of Virtual Energy Storage in Integrated Electric–Thermal Energy Systems," Energies, MDPI, vol. 17(16), pages 1-21, August.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:16:p:4099-:d:1458538
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    References listed on IDEAS

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    1. Liu, Xuezhi & Wu, Jianzhong & Jenkins, Nick & Bagdanavicius, Audrius, 2016. "Combined analysis of electricity and heat networks," Applied Energy, Elsevier, vol. 162(C), pages 1238-1250.
    2. Jin, Xiaolong & Mu, Yunfei & Jia, Hongjie & Wu, Jianzhong & Jiang, Tao & Yu, Xiaodan, 2017. "Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system," Applied Energy, Elsevier, vol. 194(C), pages 386-398.
    3. Rezaie, Behnaz & Rosen, Marc A., 2012. "District heating and cooling: Review of technology and potential enhancements," Applied Energy, Elsevier, vol. 93(C), pages 2-10.
    4. Aghdam, Farid Hamzeh & Mudiyanselage, Manthila Wijesooriya & Mohammadi-Ivatloo, Behnam & Marzband, Mousa, 2023. "Optimal scheduling of multi-energy type virtual energy storage system in reconfigurable distribution networks for congestion management," Applied Energy, Elsevier, vol. 333(C).
    5. Cheng, Meng & Sami, Saif Sabah & Wu, Jianzhong, 2017. "Benefits of using virtual energy storage system for power system frequency response," Applied Energy, Elsevier, vol. 194(C), pages 376-385.
    6. Diaz-Londono, Cesar & Enescu, Diana & Ruiz, Fredy & Mazza, Andrea, 2020. "Experimental modeling and aggregation strategy for thermoelectric refrigeration units as flexible loads," Applied Energy, Elsevier, vol. 272(C).
    7. Marrasso, E. & Martone, C. & Pallotta, G. & Roselli, C. & Sasso, M., 2024. "Assessment of energy systems configurations in mixed-use Positive Energy Districts through novel indicators for energy and environmental analysis," Applied Energy, Elsevier, vol. 368(C).
    8. Fan, Jing-Li & Wang, Jia-Xing & Hu, Jia-Wei & Wang, Yu & Zhang, Xian, 2019. "Optimization of China’s provincial renewable energy installation plan for the 13th five-year plan based on renewable portfolio standards," Applied Energy, Elsevier, vol. 254(C).
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