Analyzing the effect of corona losses on dynamic line rating models for overhead transmission lines

• Corona effect generates power losses in transmission line conductors. • Corona losses are typically disregarded when developing thermal conductor models. • There is a lack of data of corona losses with a full description of the conductors. • It is shown that under certain conditions such losses can be larger than Joule losses. • it is suggested to include corona losses in accurate thermal conductor models. High-voltage transmission lines tend to generate corona activity. The value of corona losses is highly dependent on several parameters such as line configuration, conductor geometry, surface condition, operating voltage and weather conditions. International guidelines and standards such as Cigré, IEEE and IEC recommend that corona losses should not be considered when developing thermal conductor models, so such losses are typically omitted when developing dynamic line rating (DLR) applications. DLR is a set of techniques based on dynamically changing the thermal ratings of transmission lines based on changes in environmental conditions (wind, temperature, etc.). To develop accurate DLR models that include corona losses, a large amount of line data is required, including operating voltage, complete conductor information (materials, dimensions, etc.), bundle and line geometry, phase layout, and ground clearance, among others. To validate the accuracy of such models, part of the complete line data, long-term measurements of instantaneous corona losses in existing lines, operating voltage and weather conditions are required. However, the development of DLR approaches and the inclusion of corona losses in such models is severely limited by the lack of experimental work that includes a complete description of all this information. Based on experimental corona losses already published in the literature, this paper uses an accurate conductor model that accounts for radial heat transfer to show that, under certain conditions, corona losses are comparable to and even greater than Joule losses, which are usually the main source of conductor heating, suggesting that corona losses should be included in the development of accurate thermal conductor models. It has also been shown that for conductors in a normal condition, operating in fair weather conditions and at rated line load, corona losses are typically less than 2% of the Joule losses, resulting in a reduction of the maximum current carrying capacity of less than 1%. However, for heavily contaminated conductors, the reduction in current carrying capacity due to the effect of corona losses can be as high as 15%.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-02-20
DOI
https://doi.org/10.1016/j.ijepes.2025.110546
Citations
8
Primary Topic
Thermal Analysis in Power Transmission
Type
article
Field-Weighted Citation Impact
9.72

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article

Analyzing the effect of corona losses on dynamic line rating models for overhead transmission lines

Jordi‐Roger Riba, Manuel Moreno‐Eguilaz
8 citations
International Journal of Electrical Power & Energy Systems
Thermal Analysis in Power Transmission
9.72
article

Analyzing the effect of corona losses on dynamic line rating models for overhead transmission lines

Jordi‐Roger Riba, Manuel Moreno‐Eguilaz
article en
8 citations

Abstract

• Corona effect generates power losses in transmission line conductors. • Corona losses are typically disregarded when developing thermal conductor models. • There is a lack of data of corona losses with a full description of the conductors. • It is shown that under certain conditions such losses can be larger than Joule losses. • it is suggested to include corona losses in accurate thermal conductor models. High-voltage transmission lines tend to generate corona activity. The value of corona losses is highly dependent on several parameters such as line configuration, conductor geometry, surface condition, operating voltage and weather conditions. International guidelines and standards such as Cigré, IEEE and IEC recommend that corona losses should not be considered when developing thermal conductor models, so such losses are typically omitted when developing dynamic line rating (DLR) applications. DLR is a set of techniques based on dynamically changing the thermal ratings of transmission lines based on changes in environmental conditions (wind, temperature, etc.). To develop accurate DLR models that include corona losses, a large amount of line data is required, including operating voltage, complete conductor information (materials, dimensions, etc.), bundle and line geometry, phase layout, and ground clearance, among others. To validate the accuracy of such models, part of the complete line data, long-term measurements of instantaneous corona losses in existing lines, operating voltage and weather conditions are required. However, the development of DLR approaches and the inclusion of corona losses in such models is severely limited by the lack of experimental work that includes a complete description of all this information. Based on experimental corona losses already published in the literature, this paper uses an accurate conductor model that accounts for radial heat transfer to show that, under certain conditions, corona losses are comparable to and even greater than Joule losses, which are usually the main source of conductor heating, suggesting that corona losses should be included in the development of accurate thermal conductor models. It has also been shown that for conductors in a normal condition, operating in fair weather conditions and at rated line load, corona losses are typically less than 2% of the Joule losses, resulting in a reduction of the maximum current carrying capacity of less than 1%. However, for heavily contaminated conductors, the reduction in current carrying capacity due to the effect of corona losses can be as high as 15%.

International Journal of Electrical Power & Energy SystemsVol. 166
Universitat Politècnica de Catalunya (ES)
Agència de Gestió d'Ajuts Universitaris i de Recerca
Affordable and clean energy
Openalex Percentile: Top 2%
Thermal Analysis in Power Transmission
9.72
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