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Pregled bibliografske jedinice broj: 1268090

Particle swarm optimization trained neural network for overhead line conductor temperature prediction

Sterc, Tomislav; Filipovic-Grcic, Bozidar; Franc, Bojan; Mesic, Kresimir; Zupan, Alan; Jurisic, Bruno
Particle swarm optimization trained neural network for overhead line conductor temperature prediction // Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023) / Konjevod, Jure ; Šala, Alan ; Mostarac, Petar (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2023. str. 24-27 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

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Naslov
Particle swarm optimization trained neural network for overhead line conductor temperature prediction

Autori
Sterc, Tomislav ; Filipovic-Grcic, Bozidar ; Franc, Bojan ; Mesic, Kresimir ; Zupan, Alan ; Jurisic, Bruno

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023) / Konjevod, Jure ; Šala, Alan ; Mostarac, Petar - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2023, 24-27

ISBN
978-953-184-284-6

Skup
Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023)

Mjesto i datum
Cavtat, Hrvatska, 24.04.2023. - 28.04.2023

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
STR (Static Thermal Rating), DTR (Dynamic Thermal Rating), OTLM (Overhead Transmission Line Monitoring), OHL (Overhead Line), ANN (Artificial Neural Network), PSO (Particle Swarm Optimization)

Sažetak
Transmission system operators often use Static Thermal Rating (STR) for maximum allowable thermal rating of Overhead Line (OHL) conductor. Such static thermal limits are usually defined for operation in extreme weather conditions which are rarely achieved in real-world operation. In this paper, based on the weather parameters collected from an automated weather station installed on a transmission tower, the conductor temperature is estimated using newly developed method based on Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO). Calculated temperatures are compared with measured temperatures from Overhead Transmission Line Monitoring (OTLM) device. Correct estimation of OHL conductor temperature leads to better prediction of Dynamic Thermal Rating (DTR).

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
KONČAR - Institut za elektrotehniku d.d.,
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Bojan Franc (autor)

Avatar Url Alan Župan (autor)

Avatar Url Božidar Filipović-Grčić (autor)

Avatar Url Tomislav Šterc (autor)

Avatar Url Bruno Jurišić (autor)

Citiraj ovu publikaciju:

Sterc, Tomislav; Filipovic-Grcic, Bozidar; Franc, Bojan; Mesic, Kresimir; Zupan, Alan; Jurisic, Bruno
Particle swarm optimization trained neural network for overhead line conductor temperature prediction // Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023) / Konjevod, Jure ; Šala, Alan ; Mostarac, Petar (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2023. str. 24-27 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Sterc, T., Filipovic-Grcic, B., Franc, B., Mesic, K., Zupan, A. & Jurisic, B. (2023) Particle swarm optimization trained neural network for overhead line conductor temperature prediction. U: Konjevod, J., Šala, A. & Mostarac, P. (ur.)Fourth International Conference on Smart Grid Metrology (SMAGRIMET 2023).
@article{article, author = {Sterc, Tomislav and Filipovic-Grcic, Bozidar and Franc, Bojan and Mesic, Kresimir and Zupan, Alan and Jurisic, Bruno}, year = {2023}, pages = {24-27}, keywords = {STR (Static Thermal Rating), DTR (Dynamic Thermal Rating), OTLM (Overhead Transmission Line Monitoring), OHL (Overhead Line), ANN (Artificial Neural Network), PSO (Particle Swarm Optimization)}, isbn = {978-953-184-284-6}, title = {Particle swarm optimization trained neural network for overhead line conductor temperature prediction}, keyword = {STR (Static Thermal Rating), DTR (Dynamic Thermal Rating), OTLM (Overhead Transmission Line Monitoring), OHL (Overhead Line), ANN (Artificial Neural Network), PSO (Particle Swarm Optimization)}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Cavtat, Hrvatska} }
@article{article, author = {Sterc, Tomislav and Filipovic-Grcic, Bozidar and Franc, Bojan and Mesic, Kresimir and Zupan, Alan and Jurisic, Bruno}, year = {2023}, pages = {24-27}, keywords = {STR (Static Thermal Rating), DTR (Dynamic Thermal Rating), OTLM (Overhead Transmission Line Monitoring), OHL (Overhead Line), ANN (Artificial Neural Network), PSO (Particle Swarm Optimization)}, isbn = {978-953-184-284-6}, title = {Particle swarm optimization trained neural network for overhead line conductor temperature prediction}, keyword = {STR (Static Thermal Rating), DTR (Dynamic Thermal Rating), OTLM (Overhead Transmission Line Monitoring), OHL (Overhead Line), ANN (Artificial Neural Network), PSO (Particle Swarm Optimization)}, publisher = {Fakultet elektrotehnike i ra\v{c}unarstva Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {Cavtat, Hrvatska} }

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