Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating

Area of Science:

• Electrical Engineering
• Power Systems Engineering

Background:

• Dynamic Thermal Line Rating (DTLR) is crucial for maximizing power line capacity in smart grids.
• Accurate estimation of environmental factors like wind speed is essential for DTLR calculations.

Purpose of the Study:

• To propose a real-time method for determining the DTLR of Aluminum Conductor Steel-Reinforced (ACSR) conductors.
• To develop a practical smart grid application for real-time monitoring and DTLR calculation.

Main Methods:

• Utilizing a thermal line model to determine real-time solar radiation and ambient temperature.
• Employing direct measurement of conductor temperature and current via a Smartconductor system.
• Implementing a method to estimate wind speed at the conductor's location.

Main Results:

• The proposed method enables real-time DTLR calculation for ACSR conductors.
• Experimental validation confirms the accuracy of the approach for estimating wind speed and DTLR.

Conclusions:

• The developed real-time DTLR method is a practical smart grid solution.
• Accurate wind speed estimation is vital for reliable DTLR calculations and enhanced grid efficiency.