skip to main content
10.1145/3674225.3674263acmotherconferencesArticle/Chapter ViewAbstractPublication PagespeaiConference Proceedingsconference-collections
research-article

Research on the Development Technology of Rural Smart Grid Based on Fuzzy Clustering

Published: 31 July 2024 Publication History

Abstract

This article proposes a new method based on fuzzy clustering. Our proposed method can serve as a means to evaluate the development technology of rural smart grids. The use of fuzzy clustering technology has improved the accuracy and reliability of evaluation. Firstly, a development technology evaluation index system was constructed from three aspects: informatization, automation, and interactivity. Secondly, normalize the evaluation samples to meet the evaluation requirements. Finally, the fuzzy clustering method is used to evaluate the data calibration process, and the clustering evaluation results are output after dynamic clustering and threshold calculation. The experimental results show that compared with traditional methods, the evaluation accuracy of this method is significantly improved. The accuracy of this method remains above 92% and exhibits significant stability.

References

[1]
Xiao Bai, Li Panpan, Jiang Zhuo, “Lean Transformation Method for Rural Electric Power Grid Based on Cascaded Combination Scoring,” Automation of Electric Power Systems, 2020, vol.44, no.5, pp.220-228.
[2]
Zhang Bin, Yu Li, Bai Hao, “Automatic terminal layout planning method of rural active distribution network,” Journal of Agricultural University of Hebei, 2020, vol.43, no.4, pp.133-140.
[3]
Liu Wanxun, Yu Linlin, Zhang Lihua, Smart Power, 2020, vol.48, no.5, pp.80-85.
[4]
Xian Feng, Li Xia, “Research on reliability evaluation of power network planning based on hierarchical optimization algorithm,” Automation & Instrumentation, 2019, vol.35, no.6, pp.140-142+150.
[5]
Guo Mingqun, Lai Qingping, Lu Jie, “Evaluation Based on Cloud Matter Element Theory for the Development Form of Urban Distribution Network,” Electric Power Construction, 2020, vol.41, no.11, pp.71-77.
[6]
Huang Lijun, Zhai Denghui, Li Ruisheng, “Research and discussion on safety and protection technology of distribution network in rural areas in the future,” Power System Protection and Control, 2019, vol.47, no.02, pp.167-174.

Index Terms

  1. Research on the Development Technology of Rural Smart Grid Based on Fuzzy Clustering

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
      January 2024
      969 pages
      ISBN:9798400716638
      DOI:10.1145/3674225
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 31 July 2024

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Development level
      2. Evaluation study
      3. Fuzzy clustering
      4. Rural intelligent power grid

      Qualifiers

      • Research-article
      • Research
      • Refereed limited

      Conference

      PEAI 2024

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • 0
        Total Citations
      • 7
        Total Downloads
      • Downloads (Last 12 months)7
      • Downloads (Last 6 weeks)1
      Reflects downloads up to 17 Feb 2025

      Other Metrics

      Citations

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      HTML Format

      View this article in HTML Format.

      HTML Format

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media