In order to optimize the investment costs in electrical infrastructures, it is increasingly important to exploit power system components as close as possible to their thermal limits. The temperature of overhead transmission lines is one of the major aspects to take into account to ensure safe and reliable grid operation: its estimation allows Transmission System Operators to efficiently manage the grid and to maintain a constant power supply service, eventually implementing proper corrective actions. In the present paper, two physical approaches for overhead lines temperature estimation, namely IEEE and CIGRE models, are tested and compared on four datasets coming from different Italian overhead lines. In detail, they are involved in the five-minutes-ahead conductor temperature estimation. A successful application of the proposed models requires a proper assessment of the line angle, a crucial input parameter to get reliable results. However, it is often unavailable and difficult to be correctly estimated. A specific procedure, aimed at computing the optimal line angle that maximize the accuracy of line temperature estimation, is proposed in this work.

Wind speed component analysis on the Dynamic Thermal Line Rating

Ogliari E.;Faranda R.;Matteri A.;
2021

Abstract

In order to optimize the investment costs in electrical infrastructures, it is increasingly important to exploit power system components as close as possible to their thermal limits. The temperature of overhead transmission lines is one of the major aspects to take into account to ensure safe and reliable grid operation: its estimation allows Transmission System Operators to efficiently manage the grid and to maintain a constant power supply service, eventually implementing proper corrective actions. In the present paper, two physical approaches for overhead lines temperature estimation, namely IEEE and CIGRE models, are tested and compared on four datasets coming from different Italian overhead lines. In detail, they are involved in the five-minutes-ahead conductor temperature estimation. A successful application of the proposed models requires a proper assessment of the line angle, a crucial input parameter to get reliable results. However, it is often unavailable and difficult to be correctly estimated. A specific procedure, aimed at computing the optimal line angle that maximize the accuracy of line temperature estimation, is proposed in this work.
21st IEEE International Conference on Environment and Electrical Engineering and 2021 5th IEEE Industrial and Commercial Power System Europe, EEEIC / I and CPS Europe 2021 - Proceedings
978-1-6654-3613-7
CIGRE thermal model
Dynamic Thermal Rating
IEEE thermal model
line temperature estimation
overhead lines
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1209076
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