Optimization Method for Dimension-reduction Corrosion Diagnosis of Directional Branch of Grounding Grid Based on Condensation Hierarchical Clustering
In order to more effectively diagnose the corrosion fault of a horizontal branch conductor of grounding grid, in this paper,the model simulation method is adopted to analyze the corrosion diagnosis method of grounding grid based on electrical network theory, and an optimization method for dimension-reduction corrosion diagnosis of directional branch of grounding grid is proposed based on condensation level clustering in view of the defects of the existing grounding grid corrosion diagnosis model. By this method, the sensitivity law of the resistance changes of each branch of the grounding grid to the ports is analyzed under constant DC excitation, and the sensitivity of the branch ports to cluster the ports ac-cessible to the grounding grid is adopted to select the optimal port measurement combination. Then, the directional branch dimensionality reduction method is used to screen the branches of each port resistance equation, the conductor branch with sensitivity lower than the judgment threshold is classified as unknown branch, and the conductor branch with higher than the judgment threshold is classified as healthy branch, so as to reduce the morbidity degree and calculation dimen-sion of the corrosion diagnosis model. The method is simulated on the grounding network of a simulated substation.The results show that the relative error of the optimized overall diagnosis is only 3.07％, which is much less than 6.74％ of the corrosion diagnosis of ordinary grounding grid. It is proved that the method can be adopted to significantly improve the accuracy of grounding grid corrosion diagnosis and provide theoretical guidance for grounding grid corrosion diagnosis.
grounding gridcorrosion diagnosticsbranch port sensitivitycohesive hierarchical clusteringdirectional branch dimensionality reduction
万方数据
维普
