magistrsko delo
Mihael Skornšek (Author), Gorazd Štumberger (Mentor)

Abstract

Delo obravnava primerjavo obratovalnih lastnosti sončnih elektrarn, ki so izvedene z mikrorazsmerniki in klasičnimi trifaznimi razsmerniki. Meritve in primerjave delovanja so opravljene na dveh elektrarnah z enakimi komponentami in enakimi vršnimi močmi, vendar z različnimi razsmerniki. Najprej je opravljena primerjava delovanja v normalnih pogojih obratovanja v kombinaciji s tehničnimi specifikacijami komponent, potem pa še analiza neobičajnih obratovalnih stanj, kot so senčenja v različnih obsegih. Vsa odstopanja v delovanju lahko spremljamo z dodatnimi meritvami na elektrarni, kot sta sončno obsevanje in temperatura celice. Na podlagi polletnih meritev parametrov delovanja je s pomočjo umetnega nevronskega omrežja v programskem paketu Matlab pripravljen algoritem za izračun napovedane moči sončne elektrarne v danem trenutku, s katerim lahko ovrednotimo pravilno delovanje le-te. Omenjeni algoritem predstavlja nadgradnjo sistema za spremljanje obratovanja sončne elektrarne. Večja razlika med izmerjenimi in z algoritmom določenimi trenutnimi izhodnimi močmi sončne elektrarne kaže na neustrezno delovanje posameznih elementov sončne elektrarne in potrebo po podrobnejšem preverjanju.

Keywords

fotovoltaika;mikrorazsmerniki;sončno obsevanje;umetno nevronsko omrežje;magistrske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.09 - Master's Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: M. Skornšek
UDC: 621.311.243:621.383.51(043)
COBISS: 19695382 Link will open in a new window
Views: 979
Downloads: 112
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Other data

Secondary language: English
Secondary title: The comparison of operating properties of photovoltaic systems with microinverters and string inverters
Secondary abstract: This work deals with the comparison of operating propertis of photovoltaic power plants with microinverters and three-phase string inverters. Measurements and comparisions were made on two photovoltaic power plants with identical components and peak power, but different inverters – one with microinverters and one with string inverters. First, a comparison of operation under normal operating conditions and in accordance with technical specifications of all components has been performed, followed by the analysis of operation under unusual operating condition, like different kinds of shadings. All derogations in the operation of photovoltaic power plant can be monitored with additional measurements of solar irradiation and temperature of photovoltaic cells. Based on data acquired during six months operation of discussed photovoltaic power plant an Artificial Neural Network (ANN) has been built in order to predict output power of the power plant. The ANN complements the already existing monitoring system. When the difference between the ANN predicted and measured output power of the photovoltaic power plant is too high, a detail check of the power plant components is required.
Secondary keywords: photovoltaic;microinverter;solar irradiation;artificial neural network;
URN: URN:SI:UM:
Type (COBISS): Master's thesis
Thesis comment: Univ. v Mariboru, Fak. za elekrotehniko, računalništvo in informatiko
Pages: XIII, 103 f.
ID: 9151153