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Dynamic reactive power optimization method of active distribution network with solid state transformer under source load fluctuation
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Ruyi Sun, Zhi Yuan, Weiqing Wang, Shan He
Renewable Energy Resources | 2024, 42(7) : 937 - 945
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Renewable Energy Resources | 2024, 42(7): 937-945
Dynamic reactive power optimization method of active distribution network with solid state transformer under source load fluctuation
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Ruyi Sun, Zhi Yuan, Weiqing Wang, Shan He
Affiliations
  • 1 Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education Xinjiang University Urumqi 830017 China
Published: 2024-07-20
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In order to solve the problems of increasing network loss caused by bidirectional power flow and node voltage fluctuation caused by fluctuation of distributed power and load, This paper proposes a method to control power flow based on pulsewidth modulation technology of power electronic converters on both sides of Solid State Transformer. In this paper, the dynamic reactive power optimization model of active distribution network with SST is firstly established. Then, the improved multiobjective group algorithm is used to solve the control variables such as modulation Angle and modulation coefficient of the power electronic converter based on the primary and secondary sides of SST, aiming at the multitime active network loss and voltage fluctuation. Finally, the simulation model is established and compared with the active distribution network dynamic reactive power optimization method based on onload voltage regulating transformer. The results prove the superiority of the proposed method in reducing network loss and maintaining node voltage stability.

solid state transformer  /  active distribution network  /  dynamic reactive power optimization  /  multiobjective particle swarm
Ruyi Sun, Zhi Yuan, Weiqing Wang, Shan He. Dynamic reactive power optimization method of active distribution network with solid state transformer under source load fluctuation[J]. Renewable Energy Resources, 2024 , 42 (7) : 937 -945 .
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Article Info
  • Receive Date：2023-03-22
  • Online Date：2025-07-22
  • Published：2024-07-20
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  • Received：2023-03-22
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Affiliations
    1 Engineering Research Center of Renewable Energy Power Generation and Grid-connected Control, Ministry of Education Xinjiang University Urumqi 830017 China
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