diplomsko delo
Kristijan Šket (Author), Miran Brezočnik (Mentor), Nenad Gubeljak (Co-mentor), Viktor Lovrenčič (Co-mentor)

Abstract

Diplomsko delo zajema reševanje problema v sistemu prenosa in distribucije električne energije. Proučevali smo atmosferske vplive in vplive odvzema električne energije iz sistema na temperaturo in poves električnih vodnikov ter napetosti in vibracije v podporni konstrukciji. Za modeliranje smo uporabili metodo genetskih algoritmov, ki temeljijo na darvinističnih izsledkih o razvoju vrst in posnemajo principe naravne selekcije. Razviti modeli omogočajo študij teže posameznega vpliva. Namen dobljenih modelov je določanje najmočnejših vplivov in možnost napovedovanja vrednosti odzivov za daljše časovno obdobje in s tem ocenjevanje življenjske dobe daljnovodov. Rezultat našega dela so napovedni modeli z visoko stopnjo prilagojenosti na učni in testni množici. Modeli podajajo natančne napovedi, predvsem za temperaturo električnih vodnikov in njihov poves. Nižjo stopnjo natančnosti napovedi pri napetostih in vibracijah v stebrih pripisujemo dejstvu, da na te odzive vplivajo tudi obremenitve na konstrukciji in lastnosti materiala.

Keywords

električni vodniki;stebri;napetosti;vibracije;genetski algoritmi;modeliranje in optimizacija;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: [K. Šket]
UDC: 621.384.658(043.2)
COBISS: 39819267 Link will open in a new window
Views: 660
Downloads: 348
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Other data

Secondary language: English
Secondary title: Predictions of line temperature and stress at towers of overhead transmission lines using genetic algorithms
Secondary abstract: This thesis is focused on solving a problem inside the systems for electric transfer and distribution. We have studied the influence of various atmospheric effects and the effect of electric current usage on the temperature and angle of overhead transmission lines as well as stress in the legs of the transmission towers and vibrations on the tower. For modelling, we used a method of genetic algorithms that derive from the results of the research conducted by Charles Darwin and mimic natural selection and species evolution. Developed models allow us to determine the weight of influence for individual effect. The goal of the developed models is to determine the most influential effect and to predict individual responses for a longer period and with that the life span of overhead transmission lines and their supporting construction. The results of our research are prediction models with a high rate of adaptiveness on learning and test sets. Models are especially accurate in their predictions of line temperature and line angle. Lower rate of accuracy for the stress in the legs of the towers and the vibrations on the tower is attributed to the fact that the effects of material and load are not included in the research.
Secondary keywords: overhead transmission lines;transmission towers;stress;vibrations;genetic algorithms;modelling and optimization;
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za strojništvo, Proizvodne tehnologije in sistemi
Pages: XII, 55 str.
ID: 11961630