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Data-driven Voltage Coordination Control Strategy for Low-voltage Distribution Networks with High Household Photovoltaics Penetration
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Lei YANG1, Xianjun WANG1, Zijian WANG2, Weihua ZHAO1, Peng LI3, Mengxi LI1
Electric Drive | 2025, 55(5) : 51 - 60
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Electric Drive | 2025, 55(5): 51-60
Data-driven Voltage Coordination Control Strategy for Low-voltage Distribution Networks with High Household Photovoltaics Penetration
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Lei YANG1, Xianjun WANG1, Zijian WANG2, Weihua ZHAO1, Peng LI3, Mengxi LI1
Affiliations
  • 1 Marketing Service Center,State Grid Henan Electric Power Company,Zhengzhou 450000,Henan,China
  • 2 School of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan,China
  • 3 XJ Metering Co.,Ltd.,Xuchang 461000,Henan,China
Published: 2025-05-20 doi: 10.19457/j.1001-2095.dqcd25479
Outline
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As the penetration rate of household distributed PV in China's low-voltage distribution network continues to increase,the power flow of the distribution network has changed,leading to more serious problems such as node voltage overruns and three-phase imbalance,which poses a serious threat to the safe and stable operation of the distribution network. For situations where the distribution network topology and line parameters are unknown,the traditional voltage control strategy based on power flow calculation is no longer applicable, a data-driven voltage coordination control strategy was proposed for low-voltage distribution networks with high household photovoltaics penetration. First,a linear approximation model of the low-voltage distribution network was established,and the least squares method was applied to fit the relationship between node power and voltage based on the historical operation data of the low-voltage distribution network. Then,the photovoltaic inverter and energy storage system were used as regulation measures to minimize the degree of node voltage over-limit,minimize the three-phase unbalance and minimize the amount of equipment regulation as the objective function. The improved multi-objective particle swarm algorithm was utilized to achieve voltage optimization control. Finally,the effectiveness of the proposed voltage coordination control strategy was verified by simulation comparison and analysis with other control strategies and methods,taking the 21-node low-voltage station as an example.

low voltage distribution network  /  data-driven  /  voltage coordination control strategy  /  voltage over-limit  /  three-phase unbalance  /  photovoltaic inverter (PVI)  /  energy storage system (ESS)
Lei YANG, Xianjun WANG, Zijian WANG, Weihua ZHAO, Peng LI, Mengxi LI. Data-driven Voltage Coordination Control Strategy for Low-voltage Distribution Networks with High Household Photovoltaics Penetration[J]. Electric Drive, 2025 , 55 (5) : 51 -60 . DOI: 10.19457/j.1001-2095.dqcd25479
Year 2025 volume 55 Issue 5
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Article Info
doi: 10.19457/j.1001-2095.dqcd25479
  • Receive Date:2023-11-09
  • Online Date:2025-11-05
  • Published:2025-05-20
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History
  • Received:2023-11-09
  • Revised:2023-12-08
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Affiliations
    1 Marketing Service Center,State Grid Henan Electric Power Company,Zhengzhou 450000,Henan,China
    2 School of Electrical and Information Engineering,Hunan University,Changsha 410082,Hunan,China
    3 XJ Metering Co.,Ltd.,Xuchang 461000,Henan,China
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https://castjournals.cast.org.cn/joweb/dqcd/EN/10.19457/j.1001-2095.dqcd25479
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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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