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Virtual Power Plant Energy Storage Selection Method Based on Game Combination Weighting and GRA-MARCOS
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Ying-chao HE1, Lei XU1, Hou-jun LI1, Aerduoni JIU2, Chun-xia DOU1, *
Science Technology and Engineering | 2025, 25(18) : 7621 - 7630
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Science Technology and Engineering | 2025, 25(18): 7621-7630
• Papers·Energy and Power Engineering •
Virtual Power Plant Energy Storage Selection Method Based on Game Combination Weighting and GRA-MARCOS
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Ying-chao HE1, Lei XU1, Hou-jun LI1, Aerduoni JIU2, Chun-xia DOU1, *
Affiliations
  • 1 College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
  • 2 Weifang Hongrun New Materials Co., Ltd., Weifang 262737, China
Published: 2025-06-28 doi: 10.12404/j.issn.1671-1815.2404448
Outline
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Under the background of the energy transition, energy storage, as an important technical means to support a high proportion of renewable energy access and consumption, has gradually become an indispensable part of virtual power plants. Among them, energy storage selection is a key issue to ensure the safe and stable operation of the power grid and improve the scheduling efficiency of virtual power plants. Therefore, an energy storage selection method based on game combination weighting and GRA-MARCOS was proposed for virtual power plants. Firstly, the evaluation indicator system of energy storage adaptability was constructed on the basis of considering the technical, economic, security, and environmental protection indicators of energy storage. Secondly, based on game theory, the comprehensive subjective and objective weights of the indicators were obtained by combining the subjective weights from FAHP(fuzzy analytic hierarchy process) method with the objective weights derived from the CRITIC and MEREC methods. Finally, the utility function of each alternative energy storage technology was calculated using the MARCOS method improved by GRA(grey relational analysis), and this was used to rank and make selection decisions for energy storage. The validity and robustness of the proposed energy storage selection method were verified through examples and sensitivity analysis. This method provides a reasonable and effective decision-making scheme for energy storage selection in different scenarios of virtual power plants.

virtual power plants  /  energy storage selection  /  fuzzy analytical hierarchy process  /  CRITIC  /  MEREC  /  grey relational analysis  /  MARCOS
何应超, 徐雷, 李厚俊, 酒阿尔多尼, 窦春霞. 基于博弈组合赋权和GRA-MARCOS的虚拟电厂储能选型方法. 科学技术与工程, 2025 , 25 (18) : 7621 -7630 . DOI: 10.12404/j.issn.1671-1815.2404448
Ying-chao HE, Lei XU, Hou-jun LI, Aerduoni JIU, Chun-xia DOU. Virtual Power Plant Energy Storage Selection Method Based on Game Combination Weighting and GRA-MARCOS[J]. Science Technology and Engineering, 2025 , 25 (18) : 7621 -7630 . DOI: 10.12404/j.issn.1671-1815.2404448
Year 2025 volume 25 Issue 18
732
356
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Article Info
doi: 10.12404/j.issn.1671-1815.2404448
  • Receive Date:2024-06-14
  • Online Date:2025-12-17
  • Published:2025-06-28
Article Data
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  • Received:2024-06-14
  • Revised:2025-03-18
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Affiliations
    1 College of Automation & College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    2 Weifang Hongrun New Materials Co., Ltd., Weifang 262737, China
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表12种不同金属材料的力学参数
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Family
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Number 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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