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Adaptive Migration Method of DT Model Under Islanding Operation of Microgrid
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Liang ZHOU
Electric Drive | 2024, 54(9) : 50 - 55
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Electric Drive | 2024, 54(9): 50-55
Adaptive Migration Method of DT Model Under Islanding Operation of Microgrid
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Liang ZHOU
Affiliations
  • State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China
Published: 2024-09-20 doi: 10.19457/j.1001-2095.dqcd24740
Outline
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Under the change of island operation conditions,the microgrid will cause that the digital twin(DT)model cannot accurately match the source domain model when migrating,which will lead to low migration efficiency and other problems.For this reason,an adaptive migration method of digital twins model under the scenario of micro grid island operation condition changes was proposed. By analyzing the operation characteristics of the microgrid under the island operation condition,the digital twin model was established,and the time-varying operation condition of the microgrid island was used to match the calculation source domain model. The adaptive migration of the digital twin model was realized by reducing the distribution difference of the source domain data under different island operation conditions of the microgrid. The experimental results show that some characteristic data such as current load and actual current have high migration effect and high migration efficiency,which verifies that the proposed migration method can adapt to different micro grid island operation conditions,and has good practicability.

microgrid  /  island operation  /  working condition scenario  /  state of change  /  digital twin(DT) model  /  adaptive migration
Liang ZHOU. Adaptive Migration Method of DT Model Under Islanding Operation of Microgrid[J]. Electric Drive, 2024 , 54 (9) : 50 -55 . DOI: 10.19457/j.1001-2095.dqcd24740
Year 2024 volume 54 Issue 9
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Article Info
doi: 10.19457/j.1001-2095.dqcd24740
  • Receive Date:2022-10-29
  • Online Date:2025-11-05
  • Published:2024-09-20
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History
  • Received:2022-10-29
  • Revised:2022-12-13
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    State Grid Shanghai Electric Power Company Economic and Technical Research Institute, Shanghai 200002, China
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表12种不同金属材料的力学参数

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Number of
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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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