| ZHANG Maosong(张茂松)*,ZHANG Luyao*,YANG Jie**,YANG Lingxiao***,WANG Xiuqin*,TAO Jun*.[J].高技术通讯(英文),2025,31(3):211~225 |
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| Three stage dynamic partitioning method of active distribution network based on improved sand cat swarm |
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| DOI：10. 3772 / j. issn. 1006-6748. 2025. 03. 001 |
| 中文关键词: |
| 英文关键词: renewable energy consumption, dynamic partition, modularity, voltage regulation, sand cat swarm algorithm, overlapping nodes |
| 基金项目: |
| Author Name | Affiliation | | ZHANG Maosong(张茂松)* | (* School of Electrical Engineering and Automation, Anhui University,Hefei 230601,P. R. China)
(** State Grid Hubei Electric Power Co. , Ltd. Economic and Technological Research Institute,Wuhan 430000,P. R. China)
(*** School of Artificial Intelligence, Anhui University, Hefei 230601,P. R. China) | | ZHANG Luyao* | | | YANG Jie** | | | YANG Lingxiao*** | | | WANG Xiuqin* | | | TAO Jun* | |
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| 中文摘要: |
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| 英文摘要: |
| With the large-scale integration of renewable energy sources into the grid, distribution networks are increasingly challenged by issues related to renewable energy accommodation and the maintenance of power quality stability. To address the challenge that existing partitioning methods are inadequate for the planning and operation needs of active distribution networks under frequently changing power flow conditions, a three-stage dynamic partitioning approach is proposed based on an improved sand cat swarm optimization (ISCSO) algorithm. Firstly, a comprehensive dynamic partitioning index is developed by integrating both structural and functional metrics, including modularity,voltage regulation capability, and regional renewable energy accommodation capacity. Secondly, to overcome the limitations of the conventional sand cat swarm optimization, namely its weak global exploration ability and tendency to fall into local optima in the later optimization stages, chaotic mapping is employed to initialize a uniformly distributed population. A nonlinear sensitivity mechanism is introduced to balance global exploration and local exploitation, alongside the design of a particle encoding and position updating scheme tailored for dynamic partitioning. Furthermore, a ‘state retention-local adjustment-global reconstruction’ partitioning structure is developed. To avoid unnecessary partition changes under minor source-load fluctuations, the concept of overlapping nodes is introduced, enabling fine-tuned adjustments under such conditions. Finally, two experimental scenarios are designed to validate the proposed method. Simulation results demonstrate strong electrical coupling performance and show that the method enhances voltage regulation and renewable energy integration capabilities across regions. |
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