Forecast of transmission line clearance using quantile regression-based weather forecasts

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18470%2F22%3A50019080" target="_blank" >RIV/62690094:18470/22:50019080 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1049/gtd2.12390" target="_blank" >https://doi.org/10.1049/gtd2.12390</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1049/gtd2.12390" target="_blank" >10.1049/gtd2.12390</a>

Result language
angličtina
Original language name
Forecast of transmission line clearance using quantile regression-based weather forecasts
Original language description
This paper uses dynamic thermal line rating methods and a probabilistic prediction methodology to forecast line clearance and conductor temperature and evaluate the risk of clearance encroachment. A transient model is used to predict conductor temperature at different prediction levels. Clearance is estimated using a relationship model, developed based on historical measured clearance and conductor temperature data. Additional sensitivity analysis is performed to determine the applicability of ambient-adjusted predictions when considering a lightly loaded line compared to a heavily loaded line. The developed methodology enables utilities to make decisions on line loading in advance of real-time operation with information on confidence associated with that decision.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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