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Title:Izračun omrežnin z novimi tarifami za dinamičnega odjemalca : diplomsko delo
Authors:ID Bedič, Grega (Author)
ID Beković, Miloš (Mentor) More about this mentor... New window
ID Pintarič, Matej (Comentor)
Files:.pdf VS_Bedic_Grega_2025.pdf (1,48 MB)
MD5: 07790FD65F4589979F077AAC870BF6C2
 
Language:Slovenian
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Diplomsko delo obravnava vpliv novega omrežninskega sistema z dinamičnimi tarifami na stroške omrežnine dinamičnega odjemalca z lastno sončno elektrarno in električnim vozilom. Narejena je analiza treh situacij. Prvi primer je izračun omrežnin po starem sistemu, drugi je izračun po novem sistemu brez prilagoditev ter tretji po novem sistemu z optimizacijo porabe. Rezultati kažejo, da je cena omrežnine v novem sistemu višja od stare, vendar je s prilagoditvijo porabe omrežnina lahko tudi 10 % nižja. Nov sistem omrežnin spodbuja učinkovitejšo rabo omrežja, vendar zahteva aktivno sodelovanje uporabnikov.
Keywords:omrežnina, dinamične tarife, optimizacija porabe
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[G. Bedič]
Year of publishing:2025
Number of pages:1 spletni vir (1 datoteka PDF (IX, 48 str.))
PID:20.500.12556/DKUM-94241 New window
UDC:621.316:658.8.03(043.2)
COBISS.SI-ID:260596739 New window
Publication date in DKUM:15.10.2025
Views:203
Downloads:36
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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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:10.08.2025

Secondary language

Language:English
Title:Calculation of network charges with new tariffs for dynamic customer
Abstract:The thesis examines the impact of the new network tariff system with dynamic pricing on the network charges for a dynamic consumer with a residential solar power plant and an electric vehicle. An analysis of three scenarios is carried out: the first calculates network charges using the old system, the second applies the new system without consumption adjustments, and the third uses the new system with optimized consumption. Results show that the new system leads to higher charges, but with consumption optimization, costs can be reduced by up to 10%. The new tariff model promotes more efficient network usage but requires active user participation.
Keywords:network charges, dynamic tariffs, consumption optimization


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