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Pregled bibliografske jedinice broj: 1269954

Methods for estimation of OHL conductor temperature based on ANN and regression analysis


Šterc, Tomislav; Filipović-Grčić, Božidar; Franc, Bojan; Mesić, Krešimir
Methods for estimation of OHL conductor temperature based on ANN and regression analysis // International journal of electrical power & energy systems, 151 (2023), 1-11 doi:10.1016/j.ijepes.2023.109192 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1269954 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Methods for estimation of OHL conductor temperature based on ANN and regression analysis

Autori
Šterc, Tomislav ; Filipović-Grčić, Božidar ; Franc, Bojan ; Mesić, Krešimir

Izvornik
International journal of electrical power & energy systems (0142-0615) 151 (2023); 1-11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
DTR ; OTLM ; CIGRE TB 601 ; IEEE 738-2012 ; Regression analysis ; ANN

Sažetak
Due to the trend of increased production, consumption and interstate exchange of electricity, transmission system operators are faced with the problem of allowable thermal rating of overhead lines (OHLs) in the transmission power network. Transmission system operators often use static thermal rating for maximum allowable thermal rating of OHL conductor. Such static thermal limits are usually defined for operation in extreme weather conditions which are rarely achieved in real-world operation. Nowadays transmission system operators calculate the thermal limits based on current weather conditions and line ampacity, dynamically in real-time. Such techniques allow higher exploitation of existing OHL enabling safe and stable transmission of electrical energy. 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 methods based on artificial neural network (ANN) and regression analysis. Estimation results are compared with ones obtained by existing CIGRE 601 and IEEE 738-2012 methodologies. Calculated temperatures are compared with measured temperatures from Overhead Transmission Line Monitoring (OTLM) device. Both methodologies, regression analysis and ANN are discussed, and their error of conductor temperature calculation is analyzed. DTR is calculated based on the maximum allowable conductor temperature.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
EK-EFRR-KK.01.2.1.02.0117 - Odlučivanje u upravljanju elektroenergetskim sustavom u uvjetima nesigurnosti uvjetovanih klimatskim promjenama (AACES) (Filipović-Grčić, Božidar, EK ) ( CroRIS)
EK-H2020-864274 - Omogućavanje regionalne trgovine/razmjene električne energije kroz inovacije (FARCROSS) (Capuder, Tomislav, EK ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Citiraj ovu publikaciju:

Šterc, Tomislav; Filipović-Grčić, Božidar; Franc, Bojan; Mesić, Krešimir
Methods for estimation of OHL conductor temperature based on ANN and regression analysis // International journal of electrical power & energy systems, 151 (2023), 1-11 doi:10.1016/j.ijepes.2023.109192 (međunarodna recenzija, članak, znanstveni)
Šterc, T., Filipović-Grčić, B., Franc, B. & Mesić, K. (2023) Methods for estimation of OHL conductor temperature based on ANN and regression analysis. International journal of electrical power & energy systems, 151, 1-11 doi:10.1016/j.ijepes.2023.109192.
@article{article, author = {\v{S}terc, Tomislav and Filipovi\'{c}-Gr\v{c}i\'{c}, Bo\v{z}idar and Franc, Bojan and Mesi\'{c}, Kre\v{s}imir}, year = {2023}, pages = {1-11}, DOI = {10.1016/j.ijepes.2023.109192}, keywords = {DTR, OTLM, CIGRE TB 601, IEEE 738-2012, Regression analysis, ANN}, journal = {International journal of electrical power and energy systems}, doi = {10.1016/j.ijepes.2023.109192}, volume = {151}, issn = {0142-0615}, title = {Methods for estimation of OHL conductor temperature based on ANN and regression analysis}, keyword = {DTR, OTLM, CIGRE TB 601, IEEE 738-2012, Regression analysis, ANN} }
@article{article, author = {\v{S}terc, Tomislav and Filipovi\'{c}-Gr\v{c}i\'{c}, Bo\v{z}idar and Franc, Bojan and Mesi\'{c}, Kre\v{s}imir}, year = {2023}, pages = {1-11}, DOI = {10.1016/j.ijepes.2023.109192}, keywords = {DTR, OTLM, CIGRE TB 601, IEEE 738-2012, Regression analysis, ANN}, journal = {International journal of electrical power and energy systems}, doi = {10.1016/j.ijepes.2023.109192}, volume = {151}, issn = {0142-0615}, title = {Methods for estimation of OHL conductor temperature based on ANN and regression analysis}, keyword = {DTR, OTLM, CIGRE TB 601, IEEE 738-2012, Regression analysis, ANN} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


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