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.;
2021-01-01
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.File | Dimensione | Formato | |
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