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Title:Napoved proizvodnje električne energije sončnih elektrarn podjetja dem
Authors:Žvajker, Branimir (Author)
Seme, Sebastijan (Mentor) More about this mentor... New window
Sredenšek, Klemen (Co-mentor)
Files:.pdf VS_Zvajker_Branimir_2019.pdf (10,74 MB, This file will be accessible after 30.11.2022)
MD5: 19DDE59F51A431D49C22DE48AFF60BC3
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FE - Faculty of Energy Technology
Abstract:S pomočjo načrtovane proizvodnje električne energije iz sončnih elektrarn se lahko načrtuje dejansko potrebno proizvodnjo električne energije iz vseh ostalih virov, ki jih lahko reguliramo. Zanesljivo napovedovanje bo v prihodnosti vedno pomembnejše, saj nas bo zanimala informacija o napovedani proizvodnji sončne elektrarne za naslednji dan oz. naslednje dni. Z večanjem velikosti sončne elektrarne je pomembnost napovedovanja proizvodnje električne energije še toliko večja, saj se veča tudi vpliv na elektroenergetski sistem. Razvili smo metodo napovedovanja, ki temelji na napovedi sončnega sevanja za naslednji dan za posamezno sončno elektrarno. Napovedani meteorološki podatki se spreminjajo vsako uro, zato je negotovost napovedi relativno visoka. Kljub temu smo v predstavljenem pristopu dobili zadovoljivo natančno napoved proizvodnje električne energije, saj je absolutna vrednost pogreška manjša od 5% v vsaj šestini opazovanega obdobja in manjša od 10% v vsaj tretjini opazovanega obdobja.
Keywords:sončne elektrarne, sončni moduli, napovedovanje, proizvodnja električne energije, elektroenergetski sistem
Year of publishing:2019
Publisher:[B. Žvajker]
Source:Krško
UDC:621.311.243:502.174.3(497.4)(043.2)
COBISS_ID:1024370268 New window
NUK URN:URN:SI:UM:DK:H7L4ZT1Z
Views:966
Downloads:0
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:FE
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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:15.11.2019

Secondary language

Language:English
Title:Forecasting of electricity from solar power plants of dem company
Abstract:With planning of the production of electricity from solar power plants, we can predict the real production of electricity from all other regulated sources. A reliable forecasting will therefore become of an increasing importance in the future where we aim to seek for the information about the production of a solar power plant for the next day or the next days. Further, with the increase of the size of a solar power plant, the importance of forecasting of the electricity production is even higher, as it may increasingly impact the complete power system. Due to the stated above, we have developed a forecasting methodology based on the next day's solar radiation forecast for an individual solar power plant. Since the forecasting-related meteorological data is prone to change every hour, the uncertainty of the approach is relatively high. Nevertheless, in the presented method, we obtained a high-level of accuracy in the prediction of electricity production, where the absolute error value demonstrated to be less than 5% in at least one-sixth of the observed period and less than 10% in at least one-third to half of the observed period.
Keywords:solar power plants, photovoltaic modules, forecasting, energy production, energy system


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