一种低压配电线路漏电监测方法、装置、介质及设备
By combining granular computation and genetic algorithms, the accuracy problem of leakage current monitoring in low-voltage power distribution lines was solved, and the nonlinear relationship between leakage current and influencing factors was accurately assessed, thus ensuring the stability of the low-voltage power distribution system.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA ELECTRIC POWER RESEARCH INSTITUTE CO LTD
- Filing Date
- 2023-11-14
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies are insufficient for effectively monitoring and assessing leakage current in low-voltage power distribution lines. Especially with the rapid development of technologies such as distributed photovoltaic power generation and electric vehicle charging, the uncertainty of leakage current has increased, and the influencing factors have become more complex. Existing methods are unable to accurately monitor and assess the nonlinear relationship of leakage current.
A method combining granularity-based clustering and genetic algorithms is adopted to determine the nonlinear relationship between leakage current and influencing factors through cluster analysis and nonlinear fitting. This includes acquiring time-series data of the influence of multiple low-voltage power distribution users, performing clustering, determining the cluster categories, and estimating the leakage current through agglomerative hierarchical clustering.
It improves the accuracy of leakage current monitoring and the stability of low-voltage power distribution systems, enabling more precise monitoring and assessment of leakage current and ensuring stable system operation.
Smart Images
Figure CN117786440B_ABST