Optimiranje tokova energije u mikromreži s fotonaponskim sustavom temeljeno na kratkoročnom predviđanju sunčeve dozračenosti

doctoral thesis

• Title (english): Electrical energy flow optimization in a microgrid with a photovoltaic system based on short-term solar irradiance prediction
• Author: Aleksander Radovan; VIAF: 63158628091422920930
• Mentor: Željko Ban (mentor)
• Committee member: Sven Lončarić (predsjednik povjerenstva)
• Committee member: Mario Vašak (član povjerenstva)
• Committee member: Davor Antonić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Control and Computer Engineering); Zagreb
• Defense date and country: 2021-10-01, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering
• Universal decimal classification (UDC): 004 - Computer science and technology. Computing. Data processing ; 621.3 - Electrical engineering

Abstract

U ovom radu je opisan postupak estimacije i predviđanja zasjenjenja Sunca analizom slijeda slika neba, koji se temelji na analizi slika snimljenim širokokutnom kamerom. Kamera je instalirana na tlu kako bi se moglo pratiti kretanje Sunca od izlaska do zalaska. Motivacija za ovo istraživanje je dizajniranje mikromreže sa solarnom energijom te različitim vrstama pohrane energije. Opisana metodologija koristi slike neba snimljene svakih pet sekundi s kojima se estimira buduće kretanje oblaka, predviđa se trenutak zasjenjenja Sunca i trajanje sjene oblaka ispred Sunca. Slike neba snimljene širokokutnom kamerom najprije su obrađene na način da se otkloni efekt distorzije širokokutne leće kamere korištenjem ugrađenog modula iz programskog paketa MATLAB, koji se naziva Omni Directional Camera Calibration Toolbox. S obzirom na dinamičku prirodu promjene oblika, oblaci su estimirani oblikom pravokutnika kako bi sam algoritam bio što jednostavniji i brži. Obradom snimljenih slika predviđa se razina Sunčeve dozračenosti na osnovu predviđenog zasjenjenja, tj. predviđene razine vidljivog dijela Sunca te predikcije srednje vrijednosti direktne sunčeve dozračenosti od strane meteorološkog servisa. Dobiveni rezultati predviđanja sunčeve dozračenosti prikazani su u obliku krivulje količine direktne sunčeve dozračenosti u narednom periodu koji se potom koristi u postupku optimizacije tokova energije u mikromreži s fotonaponskim sustavom i sustavima pohrane zasnovanoj na kratkoročnom predviđanju Sunčeve dozračenosti i karakteristikama sustava pohrane energije. Analizirana mikromreža sastoji se i od više tipova pohrane energije s različitom učinkovitošću, kapacitetom i vremenom odziva.

Abstract (english)

This dissertation describes the procedure of estimating and predicting the shading of the Sun by analyzing the sequence of images of the sky, which is based on the analysis of images recorded by a wide-angle camera. The camera is installed on the ground so that it can monitor the movement of the Sun from sunrise to sunset. The motivation for this research is the design of a microgrid with solar energy and different types of energy storage. The described methodology uses images of the sky taken every five seconds to estimate the future movement of clouds and predict the moment of shading of the Sun and the duration of the shadow of clouds in front of the Sun. Sky images taken with a wide-angle camera were first processed to eliminate the distortion effect of the wide-angle camera lens using the built-in module from the MATLAB software package, which is called the Omni Directional Camera Calibration Toolbox. Given the dynamic nature of the shape change, the clouds were estimated to be rectangular in shape to make the algorithm itself as simple and fast as possible. The processing of the recorded images predicts the level of solar radiation based on the predicted shading, i.e., the predicted level of the visible part of the Sun and the prediction of the mean value of direct solar radiation by the meteorological service. The obtained results of solar radiation prediction are presented in the form of a curve of the amount of direct solar radiation in the next period, which is then used in the process of optimizing energy flows in the microgrid with photovoltaic systems and storage systems based on short-term solar radiation prediction and energy storage system characteristics. The analyzed microgrid also consists of several types of energy storage with different efficiency, capacity, and response time.

• Keywords: mikromreža s fotonaponskim sustavom; obrada slike neba; otklanjanje efekta distorzije širokokutne kamere; OpenCV biblioteka; erozija i dilacija; predviđanje trenutka zasjenjenja Sunca; predviđanje Sunčeve dozračenosti; analiza slike neba; detekcija oblaka; predviđanje kretanja oblaka i Sunca; optimiranje tokova energije
• Keywords (english): microgrid with photovoltaic system; sky image processing; elimination wide-angle camera distortion effect; OpenCV library; erosion and dilation; prediction moment of solar eclipse; prediction of solar radiation; analysis of the sky image; cloud detection; forecasting the movement of clouds and the Sun; optimizing energy flows
• Language: croatian
• URN:NBN: urn:nbn:hr:168:774537
• Promotion: 2022
• Study programme: Title: Computer Science; Study programme type: university; Study level: postgraduate; Academic / professional title: Doktor znanosti (Doktor znanosti)
• Type of resource: Text
• Extent: 120 str. : ilustr. u bojama ; 30 cm.
• File origin: Born digital
• Access conditions: Open access
• Created on: 2022-07-11 07:01:55