Smart Metering Data Analytics for Loop Impedance Evaluation

The low-voltage (LV) distribution network is directly connected to power users, thus its operational reliability significantly influences user satisfaction. In distribution network operation, issues such as line aging and equipment anomalies may arise. Due to the extensive coverage of distribution lines, it is challenging to locate these faults timely relying on manual inspections. The widespread adoption of advanced metering infrastructure technologies has enabled data-driven approaches to identify such issues. Considering that the loop impedance can help assess the health status of power lines, this paper proposes a method for evaluating loop impedance based on smart meter data to monitor the condition of LV power lines. It establishes an equivalent model of system loop impedance using voltage and current data collected by smart meters and data concentrators. By selecting data from periods with significant current variations, the method reduces the deviation range in impedance calculation results. Furthermore, impedance results from multiple time periods are processed using a normal distribution fitting-based estimation approach, enabling effective loop impedance assessment.