1983•IEEE Transactions on Power Apparatus and SystemsRequires access

Dynamic Thermal Line Ratings Part I Dynamic Ampacity Rating Algorithm

Stephen D. Foss, Sheng Hsiung Lin, Roosevelt A. Fernandes

Open publisher page 69 citations

Abstract

A dynamic ampacity rating algorithm is developed for the real time rating of overhead ACSR conductor. The algorithm is comprised of a transient pseudo macroscopic conductor temperature model combined with real time meteorological and conductor measurements. The real time measurments consist of conductor surface temperature, conductor current, ambient air temperature and wind velocity obtained from a conductor mounted module. The conductor temperature gradient is deemed important and its effect was incorporated into the thermal model. Difficult to monitor variables, such as solar heating and precipitation loss effects, are inferred by the algorithm.

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What this paper is about

A dynamic ampacity rating algorithm is developed for the real time rating of overhead ACSR conductor. The algorithm is comprised of a transient pseudo macroscopic conductor temperature model combined with real time meteorological and conductor measurements. The real time measurments consist of conductor surface temperature, conductor current, ambient air temperature and wind velocity obtained from a conductor mounted module. The conductor temperature gradient is deemed important and its effect was incorporated into the thermal model. Difficult to monitor variables, such as solar heating and precipitation loss effects, are inferred by the algorithm.

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Available abstract

A dynamic ampacity rating algorithm is developed for the real time rating of overhead ACSR conductor. The algorithm is comprised of a transient pseudo macroscopic conductor temperature model combined with real time meteorological and conductor measurements. The real time measurments consist of conductor surface temperature, conductor current, ambient air temperature and wind velocity obtained from a conductor mounted module. The conductor temperature gradient is deemed important and its effect was incorporated into the thermal model. Difficult to monitor variables, such as solar heating and precipitation loss effects, are inferred by the algorithm.

Key concepts: Ampacity, Conductor, Electrical conductor, Transient (computer programming), Line (geometry), Overhead (engineering), Thermal, Overhead line

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