Upravljanje sustavom za dvoosno praćenje Sunca na principu pomičnog horizonta

master's thesis

• Title (english): Receding horizon control of a two-axes solar tracking system
• Author: Mihaela Gec
• Mentor: Mario Vašak (mentor)
• Committee member: Mario Vašak (predsjednik povjerenstva)
• Committee member: Nedjeljko Perić (član povjerenstva)
• Committee member: Mato Baotić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-09-23, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Precizna vremenska prognoza ključan je parametar za dobro iskorištenje Sunčevog zračenja u fotonaponskim elektranama. U ovom radu na temelju postojećih povijesnih sekvenci mjerenja i prognoza temperature i komponenata Sunčeve dozračenosti razvijen je lokalni linearan algoritam koji korigira prognozu korištenjem nedavnih razlika navedenih prognoziranih i izmjerenih veličina. Također je razvijen upravljački algoritam za dvoosno praćenje Sunca kojim se optimira linearna kombinacija potrošene energije za gibanje u osima te kumulative dozračene energije Sunčevog zračenja u aktivnu plohu fotonaponskog panela odnosno polja. On je implementiran u Raspberry Pi okruženju te je njegov rad provjeren na prognostičkim i mjerenim podatcima iz laboratorija koji dolaze u stvarnom vremenu.

Abstract (english)

Precise weather forecast is critical for good exploitation of solar energy in photovoltaic power plants. Based on existing historical sequences of measurements and predictions of temperature and components of solar irradiance, local linear algorithm has been developed which corrects the forecast based on recent differences between measured and forecasted values. Furthermore, a control algorithm has been developed for two- axes solar tracking which optimizes trackers movement energy consumption and collected solar energy on the active surface of a photovoltaic panel or array. Finally, the control algorithm is implemented in Raspberry Pi environment and tested on real – time data.

• Keywords: Dvoosno pozicioniranje fotonaponskih panela; Modeliranje sunčeve dozračenosti; Prediktivno upravljanje; Vremenska prognoza
• Keywords (english): Two-axes positioning of a photovoltaic panel; Solar irradiance modelling; Predictive control; Weather forecast
• Language: croatian
• URN:NBN: urn:nbn:hr:168:658819
• Study programme: Title: Electrical Engineering and Information Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 08:53:05