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Demand assessment for virtual energy storage of distributed user under the cloud mode
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Yunpeng Wang1, Jian Hu1, Xiaojie Zhang2, Ruiqiang Ji1, Xiaomei Qi1
Renewable Energy Resources | 2024, 42(5) : 694 - 703
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Renewable Energy Resources | 2024, 42(5): 694-703
Demand assessment for virtual energy storage of distributed user under the cloud mode
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Yunpeng Wang1, Jian Hu1, Xiaojie Zhang2, Ruiqiang Ji1, Xiaomei Qi1
Affiliations
  • 1 School of Electrical and Electronic Engineering Shandong University of Technology Zibo 255000 China
  • 2 School of Economics Shandong University of Technology Zibo 255000 China
Published: 2024-05-20
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Distributed energy storage technology can change the temporal and spatial distribution of energy and can improve the flexibility of the distribution network to integrate the distributed renewable energy. Under the traditional mode, the cost of energy storage is high, and the utilization rate of energy storage resources is low. Cloud energy storage is a new business model that can respond to the demand for distributed energy storage. Under the cloud mode, the virtual energy storage configuration model is built by considering the factors that affect the demand for virtual energy storage, such as load, the output of renewable energy, timeofuse electricity price, and cost. A community with 14 typical users is selected as a case to verify the validity of the model established above. Case analysis shows that, under the cloud mode, the virtual capacity and power demand of energy storage for users are 18.2% and 7.1% lower, the annual cost is 4.12% lower, and the utilization rate of energy storage is 8.12% higher than it under the traditional mode. Therefore, the cloud mode of energy storage has a good prospect in the application.

energy storage  /  cloud mode  /  virtual capacity demand  /  annualized cost  /  utilization rate
Yunpeng Wang, Jian Hu, Xiaojie Zhang, Ruiqiang Ji, Xiaomei Qi. Demand assessment for virtual energy storage of distributed user under the cloud mode[J]. Renewable Energy Resources, 2024 , 42 (5) : 694 -703 .
Year 2024 volume 42 Issue 5
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  • Receive Date:2022-06-29
  • Online Date:2025-07-22
  • Published:2024-05-20
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  • Received:2022-06-29
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    1 School of Electrical and Electronic Engineering Shandong University of Technology Zibo 255000 China
    2 School of Economics Shandong University of Technology Zibo 255000 China
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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