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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IET GENERATION TRANSMISSION &amp; DISTRIBUTION

ISSN

1751-8687

e-ISSN

1751-8695

Svazek periodika

16

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

1639-1647

Kód UT WoS článku

000743420100001

EID výsledku v databázi Scopus

2-s2.0-85122781909