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ZHANG Guijun. Research on Grid Partitioning Methods for UAV Collaborative Inspection of Transmission, Distribution, and Transformation NetworksJ. RURAL ELECTRIFICATION, 2026, (4): 44-48. DOI: 10.13882/j.cnki.ncdqh.2602A015
Citation: ZHANG Guijun. Research on Grid Partitioning Methods for UAV Collaborative Inspection of Transmission, Distribution, and Transformation NetworksJ. RURAL ELECTRIFICATION, 2026, (4): 44-48. DOI: 10.13882/j.cnki.ncdqh.2602A015

Research on Grid Partitioning Methods for UAV Collaborative Inspection of Transmission, Distribution, and Transformation Networks

  • As the level of intelligence in power grids continues to improve, technologies such as artificial intelligence, unmanned aerial vehicles (UAVs), and big data have been widely applied in the field of operation and maintenance. With the continuous improvement of the power grid's intelligence level, technologies such as artificial intelligence, drones, big data, and others have been widely applied in the operation and maintenance field. Meanwhile, the standards for the safe and stable operation of power grids have been consistently elevated, and the integration of new energy sources along with load growth has intensified the operational pressure on equipment. There is an urgent need to integrate technological resources and professional expertise to achieve a transformation in inspection work-shifting from passive response to active prevention and from decentralized operations to collaborative efficiency through technological innovation. Based on different operational scenarios such as routine inspections and emergency disaster assessment inspections, this paper defines the principles for grid division and route planning for transmission, distribution, and transformation lines. It establishes a unified standard for grid division, guiding the improvement of work efficiency in the UAV grid planning phase, and providing a reference for collaborative UAV grid inspection work in power grids.
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