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Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8–9, 2021, Proceedings, Part I

Research Article

Research on Grid Planning Method of Distribution Network Based on Artificial Intelligence Technology

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  • @INPROCEEDINGS{10.1007/978-3-030-82562-1_8,
        author={Fu Guan-hua and Chen Da-xing and Sun Yang and Xia Jia and Wang Fei-feng and Zhu Lian-huan},
        title={Research on Grid Planning Method of Distribution Network Based on Artificial Intelligence Technology},
        proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I},
        proceedings_a={ICMTEL},
        year={2021},
        month={7},
        keywords={Artificial intelligence Distribution network Grid planning Load forecasting},
        doi={10.1007/978-3-030-82562-1_8}
    }
    
  • Fu Guan-hua
    Chen Da-xing
    Sun Yang
    Xia Jia
    Wang Fei-feng
    Zhu Lian-huan
    Year: 2021
    Research on Grid Planning Method of Distribution Network Based on Artificial Intelligence Technology
    ICMTEL
    Springer
    DOI: 10.1007/978-3-030-82562-1_8
Fu Guan-hua1, Chen Da-xing2, Sun Yang2, Xia Jia2, Wang Fei-feng2, Zhu Lian-huan1
  • 1: State Grid Hangzhou Xiaoshan Power Supply Company
  • 2: Zhejiang Zhongxin Power Engineering Construction Co., Ltd.

Abstract

In order to improve the reliability of distribution network, a grid planning method of distribution network based on artificial intelligence technology is studied. Firstly, according to the principle of grid division, the planning area is divided into several planning grids reasonably; the existing problems of the existing distribution network are analyzed systematically, and the weak links of the existing distribution network are summarized. According to the current grid structure, load forecasting results and planning objectives of planning grid, the target grid and transition grid of planning grid are determined, and the load forecasting method of distribution network is designed to improve the scientificity of distribution grid division. The experiments show that after the grid planning of the distribution network in a planning area, the target grid of the distribution network is strong, the power supply range is clear, and the power supply reliability is high, which verifies the effectiveness and scientificity of the method.

Keywords
Artificial intelligence Distribution network Grid planning Load forecasting
Published
2021-07-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-82562-1_8
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