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Distribution network groups with high proportion potovoltaics coordinate voltage control strategies
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Shengqing Li1, 2, Bowen Liu1, 2, Huanping Li1, 2, Xin Li1, 2, Zhifei Zhou1, 2
Renewable Energy Resources | 2024, 42(4) : 530 - 537
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Renewable Energy Resources | 2024, 42(4): 530-537
Distribution network groups with high proportion potovoltaics coordinate voltage control strategies
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Shengqing Li1, 2, Bowen Liu1, 2, Huanping Li1, 2, Xin Li1, 2, Zhifei Zhou1, 2
Affiliations
  • 1 School of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412007 China
  • 2 Hunan Province Photovoltaic Smart Grid Control Engineering Research Center Zhuzhou 412007 China
Published: 2024-04-20
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Voltage violation has become an important factor limiting the maximum integration capacity of photovoltaics. To address the issue of voltage violation caused by largescale photovoltaic grid connection, the article proposes a grouped coordinated voltage control strategy for distribution networks with high proportions of photovoltaics. Firstly, based on the different voltage sensitivities of photovoltaic connection nodes in the distribution network, the concept of grouped coordinated control for photovoltaic inverters is introduced. Then, within each group of photovoltaic inverters, voltage control is carried out using capacity utilization ratio and power factor as consistent variables, while intergroup coordination control ensures that the voltage at key nodes converges to the set value of 1.05 p.u.. Finally, through case simulations, the proposed control strategy is verified to effectively suppress voltage violations in distribution networks, avoid unnecessary active power reduction, and demonstrate strong robustness during load and photovoltaic fluctuations.

voltage violation  /  photovoltaic power generation  /  group coordination control  /  consensus algorithm
Shengqing Li, Bowen Liu, Huanping Li, Xin Li, Zhifei Zhou. Distribution network groups with high proportion potovoltaics coordinate voltage control strategies[J]. Renewable Energy Resources, 2024 , 42 (4) : 530 -537 .
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Year 2024 volume 42 Issue 4
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Article Info
  • Receive Date：2023-04-17
  • Online Date：2025-07-22
  • Published：2024-04-20
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  • Received：2023-04-17
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Affiliations
    1 School of Electrical and Information Engineering Hunan University of Technology Zhuzhou 412007 China
    2 Hunan Province Photovoltaic Smart Grid Control Engineering Research Center Zhuzhou 412007 China
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