Optimizacija korištenja uređaja u naprednom kućanstvu

master's thesis

• Title (english): Optimization of devices in a smart household
• Author: Petra Miljan
• Mentor: Hrvoje Pandžić (mentor)
• Committee member: Hrvoje Pandžić (predsjednik povjerenstva)
• Committee member: Tomislav Capuder (član povjerenstva)
• Committee member: Marko Delimar (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2021-06-21, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Ljudsko društvo sve više cijeni energetsku učinkovitost i štedljivost u potrošnji energije, a na osnovu toga napredna kućanstva dobivaju sve više pažnje. Upravljački uređaji u naprednim kućanstvima omogućuju paljenje i gašenje uređaja na daljinu, kao i definiranje vremena paljenja istih. Novije izvedbe naprednih kućanstava posjeduju i centralne upravljačke uređaje na kojima se pokreću upravljački algoritmi. Takvim algoritmima paljenje i gašenje uređaja se može automatizirati i optimalno rasporediti s obzirom na vanjske cjenovne signale te tako kućanstvo može učinkovitije sudjelovati u programima odziva potrošnje. Koordinacija različitih uređaja unutar naprednog kućanstva stoga ne omogućuje samo uštede u potrošnji energije nego i uštede na računima za električnu i toplinsku energiju. Upravljački algoritmi, osim cjenovnih signala, u obzir moraju uzimati i raspoloživost uređaja te obrasce ponašanja ukućana.

Cilj ovog rada je izraditi matematički model kućanstva temeljen na mješovito-cjelobrojnom linearnom programiranju. Komponente modela trebaju predstavljati sva relevantna trošila koja se nalaze u kućanstvima, a moguće ih je koristiti za odziv potrošnje. Nadalje, trošila trebaju biti predstavljena realistično, uzevši u obzir njihove karakteristike potrošnje u različitim režimima rada, a raspored paljenja i gašenja treba biti definiran uzimajući u obzir broj i potrebe prisutnih osoba u kućanstvu. Izrađeni model koristit će se za analizu mogućih ušteda u troškovima električne energije s obzirom na trošila u kućanstvu, obrasce ponašanja stanara te cjenovne signale. Osim toga, model će se koristiti za analizu utjecaja vremenske granulacije modela na rezultate odziva potrošnje na maloprodajnim tržištima električne energije.

Abstract (english)

\begin{abstract}
Human society increasingly values energy efficiency and savings in energy consumption, and based on this, smart homes are receiving more and more attention. Control devices in smart homes allow users to turn the devices on and off remotely, as well as define the time of their ignition. Newer versions of smart homes also have central control devices on which control algorithms are run. With such algorithms, the operation of the devices can be automated and optimally distributed with respect to external price signals, so that the household can participate more efficiently in demand response programs. Coordination of different devices within a smart home therefore not only enables savings in energy consumption but also savings in electricity and heating bills. Control algorithms, in addition to price signals, must also consider the availability of devices and behavior patterns of household members. The aim of this paper is to create a mathematical model of a household based on mixed-integer linear programming. The components of the model should represent all relevant appliances found in households with the potential for demand response. Furthermore, consumers should be presented realistically, taking into account their load characteristics in different operating modes, and their operating schedule should be defined taking into account the number and needs of persons present in the household. The developed model will be used to analyze possible savings in electricity costs with respect to household appliances, patterns of tenant behavior and price signals. In addition, the model will be used to analyze the impact of model time granulation on demand response results in retail electricity markets.

• Keywords: odziv potrošnje; toplinski spremnik energije; baterijski spremnik; optimizacija; napredna kućanstva
• Keywords (english): demand response; thermal energy storage; battery storage; smart households
• Language: croatian
• URN:NBN: urn:nbn:hr:168:749248
• 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: 2023-01-13 13:14:32