Internet of Things-Based Monitoring for HV Transmission Lines: Dynamic Thermal Rating Analysis with Microclimate Variables
Journal
2020 8th International Electrical Engineering Congress, iEECON 2020
Date Issued
2020
Author(s)
Abstract
This study conducts long-term monitoring and analysis on 161kV overhead transmission line. Electricity demand has grown rapidly in recent years, so distribution and power transmission have become the center of attention. In order to effectively and safely solve power transmission problems, this study uses the internet of things technology to collect wind speed and ambient temperature information on Shichih-Minquan HV transmission lines and electric towers. It compares the collected data with the data from the Central Meteorological Bureau in Taiwan and a meteorological website to analyze the effectiveness of the actually installed monitoring device. Specifically, this device instantly obtains the results of dynamic thermal rating (DTR), and these results are compared to the results of static thermal rating to verify the reliability of the device. The data collection lasts more than half a year. The results show that using the grid data the DTR calculation would yield large errors due to the high variations of wind speeds. By contrast, the proposed monitoring device can report real-time wind speeds and ambient temperatures. Thus, the monitoring data obtained from the proposed device can be used by power dispatch operators for power transformation scheduling. © 2020 IEEE.
Subjects
Dynamic Thermal Rating; Internet of Things; power system; Smart Grid Technology
SDGs
Other Subjects
Electric load dispatching; Internet of things; Metadata; Power transmission; Temperature; Transmissions; Wind; Dynamic thermal ratings; Dynamic thermal ratings (DTR); Electricity demands; Internet of things technologies; Long term monitoring; Overhead transmission lines; Static thermal rating; Temperature information; Electric lines
Type
conference paper