A Probabilistic Estimation for Dynamic Thermal Rating of Transmission Lines
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F16%3A39902603" target="_blank" >RIV/00216275:25530/16:39902603 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Probabilistic Estimation for Dynamic Thermal Rating of Transmission Lines
Original language description
Dynamic Thermal Line Rating (DTLR) provides actual current-carrying capacity of transmission lines by considering weather conditions perceived to be influential on line thermal capacity. These weather variables include ambient temperature, wind speed, and wind direction. In this paper, a probability technique is adopted to effectively model the existing uncertainties in weather variables. A probability distribution is assigned to each variable to account for the inherent uncertainties in weather data. Monte Carlo Simulation (MCS) technique is then employed to generate different scenarios for relevant weather data. Output of MCS is fed to the IEEE model to obtain the probability distribution of sectional line ampacity estimated at each line span. Next, probability distribution of line ampacity will be calculated as the minimum of the ampacities estimated at each line span. Expected value and related percentiles of line ampacity can be derived from its probability distribution. The proposed approach would enable system operators to make decisions on DTLR accounting for risk and degree of uncertainty that power utilities are willing to accept.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2016 IEEE 16th International Conference on Environment and Electrical Engineering (EEEIC) : proceedings
ISBN
978-1-5090-2320-2
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
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Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Florencie
Event date
Jun 7, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000387085800420