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Edge Computing Oriented Real-valued Power Flow Algorithm for New Energy Station Areas
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Qian CHEN1, Yuan FENG1, Cheng LI2, Yang XU3, Shuchun WANG1
Electric Drive | 2025, 55(1) : 61 - 69
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Electric Drive | 2025, 55(1): 61-69
Edge Computing Oriented Real-valued Power Flow Algorithm for New Energy Station Areas
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Qian CHEN1, Yuan FENG1, Cheng LI2, Yang XU3, Shuchun WANG1
Affiliations
  • 1 School of Electrical and Power Engineering,Hohai University,Nanjing 211100,Jiangsu,China
  • 2 State Grid Zhejiang Electric Vehicle Service Co.,Ltd.,Hangzhou 310012,Zhejiang,China
  • 3 State Grid Jiangsu Electric Power Co.,Ltd. Yancheng Power Supply Branch,Yancheng 224000,Jiangsu,China
Published: 2025-01-20 doi: 10.19457/j.1001-2095.dqcd25634
Outline
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The proportion of new energy sources connected to the station area is increasing day by day,which inevitably brings regulatory needs. Therefore,there is an urgent need for corresponding edge power flow algorithms. In order to give consideration to accuracy,practicality and efficiency under the situation of weak communication conditions and limited computing resources,a real-valued power flow algorithm for the edge computing of 400 V station area was proposed. Considering the resistive nature of the 400 V station area network and the high power factor of the equipment,the AC variables were simplified from vector sum to scalar sum;corresponding node transformation strategies and iterative algorithms were designed ;assignment strategies in the case of missing data was proposed;an online calculation strategy based on sensitivity correction or iterative calculation was further proposed. Through simulation analysis,the accuracy and practicality of the algorithm proposed were finally verified.

edge computing  /  new energy station areas  /  real-valued  /  power flow algorithm  /  calculation strategy
Qian CHEN, Yuan FENG, Cheng LI, Yang XU, Shuchun WANG. Edge Computing Oriented Real-valued Power Flow Algorithm for New Energy Station Areas[J]. Electric Drive, 2025 , 55 (1) : 61 -69 . DOI: 10.19457/j.1001-2095.dqcd25634
Year 2025 volume 55 Issue 1
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Article Info
doi: 10.19457/j.1001-2095.dqcd25634
  • Receive Date:2024-01-30
  • Online Date:2025-10-29
  • Published:2025-01-20
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  • Received:2024-01-30
  • Revised:2024-03-12
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Affiliations
    1 School of Electrical and Power Engineering,Hohai University,Nanjing 211100,Jiangsu,China
    2 State Grid Zhejiang Electric Vehicle Service Co.,Ltd.,Hangzhou 310012,Zhejiang,China
    3 State Grid Jiangsu Electric Power Co.,Ltd. Yancheng Power Supply Branch,Yancheng 224000,Jiangsu,China
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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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