Dynamic line rating and ampacity forecasting as the keys to optimise power line assets with the integration of RES. The European project twenties demonstration inside Central Western Europe

Nguyen, Huu-Minh; Lilien, Jean-Louis; Schell, Peter

doi:10.1049/cp.2013.1011

Cited by 20 publications

(1 citation statement)

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“…In recent years, several initial DLR systems were implemented worldwide with positive experiences regarding the power lines' transfer capacity or ampacity gain [11][12][13][14][15][16][17]. However, it is essential to note that a small number of sensors have been in operation for a specified period in most demonstration projects [12][13][14]. Full, system-wide implementations are available in minimal numbers.…”

Section: Motivation Of the Papermentioning

confidence: 99%

Performance Analysis of a Dynamic Line Rating System Based on Project Experiences

et al. 2022

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This paper aims to demonstrate the performance and reliability analysis of a dynamic line rating (DLR) system at the Bulgarian demonstration site of the FLEXITRANSTORE project. As part of the project, various manufacturers’ different line monitoring DLR sensors and weather stations were installed on a 110 kV double-circuit overhead line (OHL). These devices provided input parameters to the DLR system based on objective measurements. This paper used statistical tools to examine the reliability and accuracy of installed devices, thus making products from different manufacturers comparable. In addition, two independent line monitoring and DLR models have been developed: the black-box and extended white-box models. The performances of the two models were analyzed for the same input parameters and compared to the field measurements. Based on the presented results, the reliability and accuracy of the applied weather stations of different companies were almost the same. This conclusion cannot be said for DLR line monitoring sensors, where the devices could be differentiated based on reliability and measurement accuracy results. In terms of models, the usability of the extended white-box model seemed to be limited in certain weather conditions, implicating a more significant role for soft-computing-based DLR models in the future. In addition to the results, root causes for the errors and future directions that may provide a framework for further research are also presented.

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