Journal of Shanghai Jiao Tong University

Journal of Shanghai Jiaotong University >

2025 , Vol. 59 >Issue 10: 1431 - 1441

DOI: https://doi.org/10.16183/j.cnki.jsjtu.2023.626

New Type Power System and the Integrated Energy

Automatic Mapping Method for Power Supply Units in Medium-Voltage Distribution Networks Based on Generative Adversarial Network

  • CHEN Jinming ,
  • JIANG Wei ,
  • WANG Zhiwei ,
  • ZHU Zhenhan ,
  • CHEN Ye ,
  • ZHAO Yanchao
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  • 1 School of Electrical Engineering, Southeast University, Nanjing 210096, China
    2 Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211103, China
    3 College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

Received date: 2023-12-15

  Revised date: 2024-03-11

  Accepted date: 2024-04-17

  Online published: 2024-05-08

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Abstract

With the gradual promotion of the “unit based” planning method for distribution networks, regional distribution networks have been divided into several relatively independent power supply units. However, there are multiple interconnecting lines within the power supply units, and the complexity of the structure makes the mapping of power supply units more difficult. The heuristic automated mapping methods based on rules and force orientation are inefficient and relies on manual intervention, which cannot adapt to the complex and changing distribution network application scenarios. Therefore, this paper proposes an automatic mapping method for medium-voltage distribution network power supply units based on the mean square error condition generation adversarial network. The layout generator and genetic mutation algorithm in this method can generate and optimize the layout and connection of distribution network nodes at a fine-grained level, achieving automatic mapping at various node scales. Then, it designs an evaluation function for node layout generators, which takes topology visualization performances such as node clustering degree, line crossing, and inflection points as key evaluation indicators. This function can be used to iteratively optimize the layout generator and thereby improve the mapping effect. The experimental results show that the method proposed outperforms other heuristic layout methods in terms of mapping effect.

Key words： medium-voltage distribution network; power supply unit; automatic mapping; generative adversarial network (GAN)

Cite this article

CHEN Jinming , JIANG Wei , WANG Zhiwei , ZHU Zhenhan , CHEN Ye , ZHAO Yanchao . Automatic Mapping Method for Power Supply Units in Medium-Voltage Distribution Networks Based on Generative Adversarial Network[J]. Journal of Shanghai Jiaotong University, 2025 , 59(10) : 1431 -1441 . DOI: 10.16183/j.cnki.jsjtu.2023.626

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