diplomsko delo
Rok Preskar (Author), Boštjan Blažič (Mentor), Matej Bernard Kobav (Co-mentor)

Abstract

Fotonapetostne elektrarne predstavljajo negativen faktor elektroenergetskemu sistemu, saj je zaradi prehodov oblakov njihova izhodna moč močno variabilna, kar predstavlja problem vzdrževanja ravnovesja med proizvodnjo in porabo električne energije. Dosedanje rešitve so cenovno neugodne, zato je v diplomski nalogi predstavljena rešitev, ki napoveduje kratkoročno moč fotonapetostne elektrarne glede na osnovo potovanja oblakov. S pomočjo kamere in procesorske kartice se zajame slika neba nad elektrarno, ta se programsko obdela in preko algoritma napove prehod oblakov med soncem in fotonapetostnim modulom. Dobljena informacija nam omogoča postopno zniževanje izhodne moči fotonapetostne elektrarne pred časom prehoda oblaka in obratno po prehodu oblaka, tako izhodna moč nima hipnih sprememb, ki otežujejo vzdrževanje ravnovesja v omrežju.

Keywords

sončne elektrarne;izhodna moč;napoved prehoda oblakov;univerzitetni študij;Elektrotehnika;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FE - Faculty of Electrical Engineering
Publisher: [R. Preskar]
UDC: 621.311.243:551.576.5(043.2)
COBISS: 164850691 Link will open in a new window
Views: 18
Downloads: 5
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Other data

Secondary language: English
Secondary title: Short-term forecasting of solar power-plant power output based on cloud movement
Secondary abstract: Photovoltaic power plants present a negative factor in the electrical power system, because due to cloud transitions their output power fluctuates, which represents a problem of maintaining a balance between production and consumption of electrical energy. The current solutions are financially unfavourable, so the diploma thesis presents a solution that predicts the short-term power of the photovoltaic power plant in relation to the basis of cloud travel. With the help of a camera and a processor card, we capture the image of the sky above the power plant, which is software processed and the algorithm forecasts passage of clouds between the sun and the photovoltaic module. The obtained information allows us to gradually reduce or increase the output power of the photovoltaic power plant before or after the time of cloud transition, so the output power does not have instantaneous changes that make it difficult to maintain balance in the network.
Secondary keywords: Photovoltaic power plants;power output;cloud passage forecast;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000313
Embargo end date (OpenAIRE): 1970-01-01
Thesis comment: Univ. v Ljubljani, Fak. za elektrotehniko
Pages: XX, 57 str.
ID: 19945583