• ISSN 0258-2724
  • CN 51-1277/U
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PEI Feng, JIA Lulu, ZHENG Shaohua, XU Ruicheng, CHENG Hongbo. Optimization Method for Measurement Points of Grounding Grids Based on a Composite Weighted Vertex Cover Model[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.2026067
Citation: PEI Feng, JIA Lulu, ZHENG Shaohua, XU Ruicheng, CHENG Hongbo. Optimization Method for Measurement Points of Grounding Grids Based on a Composite Weighted Vertex Cover Model[J]. Journal of Southwest Jiaotong University. doi: 10.3969/j.issn.0258-2724.2026067

Optimization Method for Measurement Points of Grounding Grids Based on a Composite Weighted Vertex Cover Model

doi: 10.3969/j.issn.0258-2724.2026067
  • Received Date: 02 Feb 2026
  • Rev Recd Date: 10 Jun 2026
  • Available Online: 20 Jul 2026
  • To address the problem of disconnection between topology and electrical characteristics in the optimization of measurement points of grounding grids and to enhance the accuracy and engineering applicability of fault diagnosis for grounding grids, grounding grids were transformed into an undirected graph model with node-branch relationships. The topological connectivity characteristics of nodes were measured using node degrees, and the electrical connection characteristics of nodes were measured using node sensitivities. A determination model of node composite weight integrating node degree and node sensitivity was constructed. A greedy algorithm based on dynamic tuning of composite weights was adopted to optimize the node weight model, and an optimized layout scheme of measurement points for grounding grids that can cover all branches was selected. Simulation results show that this method can select 25 measurement points from 49 nodes in a 7 × 7 grounding grid, achieving complete electrical observability of all branches of the grounding grid. Under the same number of measurement points, the average error of single-branch corrosion diagnosis is reduced by 15.6% compared with the network topology hierarchical reduction method, and the average error of multi-branch corrosion diagnosis is reduced by 13.4% compared with the network topology hierarchical reduction method. Furthermore, even with fewer measurement points, the multi-branch diagnosis error is still superior to that of the agglomerative hierarchical clustering method, achieving accurate diagnosis of single and multiple branches with different corrosion degrees (mild, moderate, and severe). The proposed method can reduce the on-site testing workload while ensuring the accuracy of corrosion diagnosis, and it has important practical significance for the precise maintenance of grounding grid corrosion.

     

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