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Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration

Author

Listed:
  • Jiyong Zhang

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102200, China)

  • Bangzheng He

    (School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Jingguo Lv

    (School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China)

  • Chunhui Zhao

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102200, China)

  • Gao Yu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102200, China)

  • Donghui Liu

    (State Grid Economic and Technological Research Institute Co., Ltd., Beijing 102200, China)

Abstract

This paper addresses the problem of multi-source survey data sharing in power system engineering by proposing two improved methods: a survey data sharing method combined with differential privacy and a permission change method based on attribute encryption. The survey data sharing method integrated with differential privacy achieves effective cross-professional and cross-departmental data sharing while ensuring data security by introducing multi-discriminator architecture and dynamic noise adjustment. To reduce the computational and communication overhead when user permissions change during survey data sharing, the attribute encryption-based permission change method supports dynamic changes in user permissions. The effectiveness of the proposed methods has been validated through targeted experiments in different scenarios. The work in this thesis provides a new solution for dynamic sharing of survey data in power network engineering. It contributes to the digital transformation of power network projects.

Suggested Citation

  • Jiyong Zhang & Bangzheng He & Jingguo Lv & Chunhui Zhao & Gao Yu & Donghui Liu, 2024. "Research on Grid Multi-Source Survey Data Sharing Algorithm for Cross-Professional and Cross-Departmental Operations Collaboration," Energies, MDPI, vol. 17(17), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:17:p:4380-:d:1469154
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    References listed on IDEAS

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    1. Wang, Bohong & Guo, Qinglai & Yu, Yang, 2022. "Mechanism design for data sharing: An electricity retail perspective," Applied Energy, Elsevier, vol. 314(C).
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