Dynamic transmission line rating sensor system

As more renewable energy resources, such as wind and solar, are added to the existing grid, there is an increased need for more electrical capacity, and many companies are looking to increase the capacity of the existing transmission system in inexpensive and innovative ways due to the high expense associated with constructing new lines. In many cases, companies lack the ability to track line conditions, such as conductor sag and weather, in real time. Line capacity is also limited by a static line rating that is often based on unlikely worst case weather conditions. We are designing a two module system that will give system operators the ability to track conductor sag and weather conditions in real time. A line mounted device will make use of an IMU, infrared temperature sensor, and a LiDAR to collect data. This data will then be reported via radio transceiver to the ground module, which will communicate with system controllers. Software systems will be programmed and integrated that can report the conditions recorded by the line mounted module and track those conditions over time to create statistical models that can predict line conditions depending on the usual weather conditions at that time of the year. We will then investigate using the conductor temperature data to adjust the line rating to allow higher loads on the line in favorable weather conditions. We hope to see the ability to increase the capacity of the lines where this. device is used and thus reduce transmission system bottlenecking.
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Abstract/Description: As more renewable energy resources, such as wind and solar, are added to the existing grid, there is an increased need for more electrical capacity, and many companies are looking to increase the capacity of the existing transmission system in inexpensive and innovative ways due to the high expense associated with constructing new lines. In many cases, companies lack the ability to track line conditions, such as conductor sag and weather, in real time. Line capacity is also limited by a static line rating that is often based on unlikely worst case weather conditions. We are designing a two module system that will give system operators the ability to track conductor sag and weather conditions in real time. A line mounted device will make use of an IMU, infrared temperature sensor, and a LiDAR to collect data. This data will then be reported via radio transceiver to the ground module, which will communicate with system controllers. Software systems will be programmed and integrated that can report the conditions recorded by the line mounted module and track those conditions over time to create statistical models that can predict line conditions depending on the usual weather conditions at that time of the year. We will then investigate using the conductor temperature data to adjust the line rating to allow higher loads on the line in favorable weather conditions. We hope to see the ability to increase the capacity of the lines where this. device is used and thus reduce transmission system bottlenecking.
Subject(s): Weather sag
Undergraduate Research
Transmission systems
Bottlenecking
Conductor sag