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Title:Napovedovanje temperature vodnikov in obremenitev na stebrih daljnovodov s pomočjo genetskih algoritmov : diplomsko delo
Authors:Šket, Kristijan (Author)
Brezočnik, Miran (Mentor) More about this mentor... New window
Gubeljak, Nenad (Co-mentor)
Lovrenčič, Viktor (Co-mentor)
Files:.pdf UN_Sket_Kristijan_2020.pdf (1,20 MB)
MD5: 913221685B33EE17EC8E74901BD6D14F
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FS - Faculty of Mechanical Engineering
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.
Year of publishing:2020
Place of performance:Maribor
Publisher:[K. Šket]
Number of pages:XII, 55 str.
Source:Maribor
UDC:621.384.658(043.2)
COBISS_ID:39819267 New window
NUK URN:URN:SI:UM:DK:OJWXGFEV
Views:242
Downloads:105
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FS
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:18.08.2020

Secondary language

Language:English
Title:Predictions of line temperature and stress at towers of overhead transmission lines using genetic algorithms
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.
Keywords:overhead transmission lines, transmission towers, stress, vibrations, genetic algorithms, modelling and optimization.


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