diplomsko delo
Taras Toroš (Author), Marko Čepin (Mentor)

Abstract

V današnjem času spremljamo čedalje večje število sončnih elektrarn in baterijskih hranilnikov, kar nakazuje potrošniško nagnjenost k samooskrbi. S povečanim interesom v samooskrbo se pojavi vprašanje o vplivu samooskrbe na omrežje. Cilj te diplomske naloge je razvoj modela, ki mogoča simuliranje samooskrbe in vpliva le-te na omrežje. Razvit model samooskrbe je napisan v programskem jeziku Python s pomočjo odprtokodne knjižnice pandapower. Model ima tri večje komponente in to so porabnik, sončna elektrarna in baterija. Simulacije so opravljene na realnih merilnih podatkih moči porabnikov in generiranih podatkih proizvodnje sončne elektrarne na podlagi realnih vremenskih podatkov. S pomočjo modela analiziramo vpliv samooskrbe na omrežje. Z obravnavanimi parametri dosežemo 23,3% zmanjšanje obremenitve na omrežje s priključitvijo sončne elektrarne na objekt in 35,26% zmanjšanje obremenitve na omrežje s priključitvijo sončne elektrarne in baterijskega hranilnika energije. Samooskrba tako predstavlja velik potencial pri razbremenitvi omrežja in omogoča boljše delovanje omrežja na dolgi rok, vendar ne brez izzivov. Sistemski operater se bo z večjim deležem samooskrbe srečal z izzivi stabilnosti omrežja in kakovosti energije zaradi variabilnosti in nepredvidljivosti proizvodnje samooskrbe. Z izboljšavami in raziskavami na tem področju, bomo tako prispevali k bolj trajnostni in okolju prijazni energetski prihodnosti.

Keywords

samooskrba;Python;pandapower;omrežja;vpliv;univerzitetni študij;Elektrotehnika;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UL FE - Faculty of Electrical Engineering
Publisher: [T. Toroš]
UDC: 621.311(043.2)(0.034.2)
COBISS: 207187203 Link will open in a new window
Views: 61
Downloads: 1303
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Other data

Secondary language: English
Secondary title: Model of self-sufficient electric energy supply
Secondary abstract: In recent times, we are witnessing an increasing number of solar power plants and battery storage systems, indicating a consumer inclination towards self-sufficiency. With the growing interest in self-sufficiency, questions arise about its impact on the grid. The aim of this thesis is to develop a model that allows for the simulation of self-sufficiency and its effects on the grid. The developed self-sufficiency model is written in Python using the open-source library pandapower. The model has three major components, these being, the consumer, the solar power plant, and the battery. Simulations are conducted using real measurement data of consumer power and generated data of solar power production based on real weather data. With the help of the model, we analyze the impact of self-sufficiency on the grid. With the parameters considered, a 23.3% reduction in grid load is achieved by connecting a solar power plant to a facility, and a 35.26% reduction in grid load is achieved by connecting both a solar power plant and an energy storage battery. Thus, self-sufficiency represents significant potential for reducing grid load and enabling better grid performance in the long term, however, not without challenges. With a higher rates of self-sufficiency, the system operator will face challenges in grid stability and energy quality due to the variability and unpredictability of self-sufficient production. Through improvements and research in this field, we will contribute to a more sustainable and environmentally friendly energy future.
Secondary keywords: Self-sufficiency;Python;pandapower;grid;impact;
Type (COBISS): Bachelor thesis/paper
Study programme: 1000313
Thesis comment: Univ. v Ljubljani, Fak. za elektrotehniko
Pages: 1 spletni vir (1 datoteka PDF (XII, 32 str.))
ID: 25011554