Quantification of gains and risks of static thermal rating based on typical meteorological year

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F13%3A39896263" target="_blank" >RIV/00216275:25530/13:39896263 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67985807:_____/13:00435335 RIV/61989100:27240/13:86096971

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S0142061512003651" target="_blank" >http://www.sciencedirect.com/science/article/pii/S0142061512003651</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ijepes.2012.07.005" target="_blank" >10.1016/j.ijepes.2012.07.005</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quantification of gains and risks of static thermal rating based on typical meteorological year

Popis výsledku v původním jazyce

The growing demand for electricity and the restructuring of power markets is forcing the power industry to change the way that power systems are planned and operated. Traditionally, transmission lines have been operated based on fixed deterministic thermal ratings, causing underutilization of their potential capacity. Efforts to overcome this limitation led to the development of alternative rating strategies based on probabilistic and dynamic methods. In this paper, a probabilistic static thermal ratingmethod based on typical weather conditions along a transmission line is described and analyzed. The results of load and energy throughput analyses show that the use of this rating approach can significantly increase line throughput compared to traditional deterministic rating methods. However, this approach can also substantially increase the risk of thermal overload. To identify the problems associated with the use of a probabilistic static thermal rating method, we performed a sensiti

Název v anglickém jazyce

Quantification of gains and risks of static thermal rating based on typical meteorological year

Popis výsledku anglicky

The growing demand for electricity and the restructuring of power markets is forcing the power industry to change the way that power systems are planned and operated. Traditionally, transmission lines have been operated based on fixed deterministic thermal ratings, causing underutilization of their potential capacity. Efforts to overcome this limitation led to the development of alternative rating strategies based on probabilistic and dynamic methods. In this paper, a probabilistic static thermal ratingmethod based on typical weather conditions along a transmission line is described and analyzed. The results of load and energy throughput analyses show that the use of this rating approach can significantly increase line throughput compared to traditional deterministic rating methods. However, this approach can also substantially increase the risk of thermal overload. To identify the problems associated with the use of a probabilistic static thermal rating method, we performed a sensiti

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JE - Nejaderná energetika, spotřeba a užití energie

OECD FORD obor

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Projekt

<a href="/cs/project/LD12009" target="_blank" >LD12009: Pokročilé metody pro predikci výroby elektrické energie z fotovoltaických systémů s využitím numerických modelů počasí s vysokým prostorovým i časovým rozlišením</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

International Journal of Electrical Power & Energy Systems

ISSN

0142-0615

e-ISSN

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Svazek periodika

44

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

227-235

Kód UT WoS článku

000311864800025

EID výsledku v databázi Scopus

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