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

Levente Rácz, Bálint Németh, Gábor Göcsei, Dimitar Zarchev and Valeri Mladenov
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Levente Rácz: Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary
Bálint Németh: Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary
Gábor Göcsei: Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, 1111 Budapest, Hungary
Dimitar Zarchev: National Dispatch Center, Electricity System Operator (ESO), 201, Tsar Boris III Blvd., 1618 Sofia, Bulgaria
Valeri Mladenov: Department Fundamentals of Electrical Engineering, Technical University of Sofia, 8 Kliment Ohridski Blvd., Block 12, 1000 Sofia, Bulgaria

Energies, 2022, vol. 15, issue 3, 1-11

Abstract: 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.

Keywords: power system; overhead line; dynamic line rating; DLR; line monitoring; neural network; performance analysis (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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