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

The result's identifiers

  • Result code in 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>

  • Alternative codes found

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

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JE - Non-nuclear power engineering, energy consumption and utilization

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/LD12009" target="_blank" >LD12009: Advanced methods for energy production forecasting by photovoltaic systems using high resolution NWP models</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Electrical Power & Energy Systems

  • ISSN

    0142-0615

  • e-ISSN

  • Volume of the periodical

    44

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    227-235

  • UT code for WoS article

    000311864800025

  • EID of the result in the Scopus database