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Optimal Regulation Method for Distribution Network Clustering Considering Voltage Governance Potential of Heterogeneous Distributed Photovoltaics
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Zheng LAN  Member, CPSS, Chunzhi YANG, Renyu TAN  Student Member, CPSS, Dong HE  Member, CPSS, Bo YI  Student Member, CPSS, Xi YU  Student Member, CPSS
Journal of Power Supply | 2025, 23(3) : 196 - 207
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Journal of Power Supply | 2025, 23(3): 196-207
• Special Issue on Analysis and Control of Power Quality in New Power Systems •
Optimal Regulation Method for Distribution Network Clustering Considering Voltage Governance Potential of Heterogeneous Distributed Photovoltaics
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Zheng LAN  Member, CPSS, Chunzhi YANG, Renyu TAN  Student Member, CPSS, Dong HE  Member, CPSS, Bo YI  Student Member, CPSS, Xi YU  Student Member, CPSS
Affiliations
  • College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
Published: 2025-05-30 doi: 10.13234/j.issn.2095-2805.2025.3.196
Outline
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With the increasing penetration rate of distributed photovoltaics in distribution network, the problems of photovoltaic power backflow and voltage overrun are becoming more and more serious. Meanwhile, the distribution network is faced with different control methods and regulation potentials of photovoltaic, which makes the heterogeneous photovoltaics difficult to coordinate and further affects the regulation and operation of distribution network. Therefore, an optimal regulation method for distribution network clustering (DNC) considering the voltage governance potential of heterogeneous distributed photovoltaics (HDPV) is proposed. First, to solve the problem of node voltage overrun under a scenario of the integration of high-penetration distributed photovoltaics, a DNC partitioning method considering voltage deviation sensitivity is proposed by combining the voltage deviation, power balance and node coupling degree. Second, the active and reactive power regulation characteristics of HDPV are analyzed, and a regulation model in different operation modes is established. Furthermore, based on the synchronous alternating direction method of multipliers, an optimal regulation method for DNC considering the voltage governance potential of HDPV is developed with an objective of minimizing the comprehensive operating cost and voltage deviation. Finally, an improved IEEE 33-node distribution network is used as an example to verify the effectiveness of the proposed optimization model, and results show that the proposed strategy realizes an efficient control of HDPV, and it can guarantee an economic operation of distribution network while improving its voltage level.

Power backflow  /  voltage overrun  /  heterogeneous distributed photovoltaics (HDPV)  /  voltage deviation sensitivity  /  cluster partitioning  /  optimal regulation
兰征中国电源学会会员, 杨淳智, 谭仁煜中国电源学会学生会员, 何东中国电源学会会员, 易波中国电源学会学生会员, 喻希中国电源学会学生会员. 考虑异构分布式光伏电压治理潜力的配电网集群式优化调控方法. 电源学报, 2025 , 23 (3) : 196 -207 . DOI: 10.13234/j.issn.2095-2805.2025.3.196
Zheng LAN, Chunzhi YANG, Renyu TAN, Dong HE, Bo YI, Xi YU. Optimal Regulation Method for Distribution Network Clustering Considering Voltage Governance Potential of Heterogeneous Distributed Photovoltaics[J]. Journal of Power Supply, 2025 , 23 (3) : 196 -207 . DOI: 10.13234/j.issn.2095-2805.2025.3.196
  • National Natural Science Foundation of China(52077072)
Year 2025 volume 23 Issue 3
63
8
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Article Info
doi: 10.13234/j.issn.2095-2805.2025.3.196
  • Receive Date:2024-11-21
  • Online Date:2026-10-26
  • Published:2025-05-30
Article Data
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History
  • Received:2024-11-21
  • Revised:2025-01-09
  • Accepted:2025-01-29
Funding
National Natural Science Foundation of China(52077072)
Affiliations
    College of Electrical and Information Engineering, Hunan University of Technology, Zhuzhou 412007, China
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表12种不同金属材料的力学参数
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Family
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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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