Kristijan Šket (Author), Mirko Ficko (Author), Nenad Gubeljak (Author), Miran Brezočnik (Author)

Abstract

In our study, we explored the complexities of overhead transmission line (OTL) engineering, specifically focusing on their responses to varying atmospheric conditions (ambient temperature, ambient humidity, solar irradiance, ambient pressure, wind speed, wind direction), and electric current usage. Our goal was to comprehend how these independent variables impact critical responses (dependent variables) such as conductor temperature, conductor sag, tower leg stress, and vibrations – parameters crucial for electric distribution. We modelled the target output variable as a polynomial of a certain degree of the input variables. The precise forms of the polynomial were determined using the genetic algorithms (GA). Developed models are essential for quantifying the influence of each input parameter, enriching our understanding of essential system elements. They provide long-term predictions for assessing transmission line lifespan and structural stability, with particularly high precision in forecasting temperature and sag angle. It is important to note that certain engineering parameters, such as material properties and load considerations, were not included in our research, potentially influencing accuracy.

Keywords

daljnovodi;strojno učenje;modeliranje;optimizacija;genetski algoritmi;Overhead Transmission Lines (OTL);machine learning;modelling;optimization;genetic algorithms (GA);

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: DAAAM International Vienna
UDC: 621.384.658
COBISS: 174719235 Link will open in a new window
ISSN: 1726-4529
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Other data

Secondary language: Slovenian
Secondary keywords: daljnovodi;strojno učenje;modeliranje;optimizacija;genetski algoritmi;
Type (COBISS): Article
Pages: str. 610-618
Volume: ǂVol. ǂ22
Issue: ǂno. ǂ4
Chronology: Dec. 2023
DOI: 10.2507/IJSIMM22-4-661
ID: 26039366