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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.02274 |
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| _version_ | 1866915870244077568 |
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| author | Park, Junseon Lee, Junhyun Park, Hyeongon |
| author_facet | Park, Junseon Lee, Junhyun Park, Hyeongon |
| contents | In South Korea, power grid is currently operated based on the static line rating (SLR) method, where the transmission
line capacity is determined based on extreme weather conditions. However, with global warming, there is a concern
that the temperatures during summer may exceed the SLR criteria, posing safety risks. On the other hand, the conservative estimates used for winter conditions limit the utilization of renewable energy. Proposals to install new lines face
significant financial and environmental hurdles, complicating efforts to adapt to these changing conditions. Dynamic
Line Rating (DLR) offers a real-time solution but requires extensive weather monitoring and complex integration. This
paper proposes a novel method that improves on SLR by analyzing historical data to refine line rating criteria on a
monthly, seasonal, and semi-annual basis. Through simulations, we show our approach significantly enhances cost effectiveness and reliability of the power system, achieving efficiencies close to DLR with existing infrastructure. This
method offers a practical alternative to overcome the limitations of SLR and the implementation challenges of DLR. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_02274 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Rethinking Static Line Rating for Economic and Efficient Power Operation in South Korea Park, Junseon Lee, Junhyun Park, Hyeongon Systems and Control In South Korea, power grid is currently operated based on the static line rating (SLR) method, where the transmission line capacity is determined based on extreme weather conditions. However, with global warming, there is a concern that the temperatures during summer may exceed the SLR criteria, posing safety risks. On the other hand, the conservative estimates used for winter conditions limit the utilization of renewable energy. Proposals to install new lines face significant financial and environmental hurdles, complicating efforts to adapt to these changing conditions. Dynamic Line Rating (DLR) offers a real-time solution but requires extensive weather monitoring and complex integration. This paper proposes a novel method that improves on SLR by analyzing historical data to refine line rating criteria on a monthly, seasonal, and semi-annual basis. Through simulations, we show our approach significantly enhances cost effectiveness and reliability of the power system, achieving efficiencies close to DLR with existing infrastructure. This method offers a practical alternative to overcome the limitations of SLR and the implementation challenges of DLR. |
| title | Rethinking Static Line Rating for Economic and Efficient Power Operation in South Korea |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2503.02274 |