Optimalno planiranje i vođenje aktivnih distribucijskih mreža sa spremnicima energije

doctoral thesis

• Title (english): Optimal planning and operation of active distribution network with energy storage systems
• Author: Matija Zidar
• Mentor: Igor Kuzle (mentor)
• Committee member: Igor Kuzle (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; (Department of Energy and Power Systems); Zagreb
• Defense date and country: 2021, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering
• Universal decimal classification (UDC): 621.3 - Electrical engineering

Abstract

Pojava distribuirane proizvodnje i električnih vozila mijenja dosadašnji koncept planiranja i vođenja distribucijske elektroenergetske mreže. Novonastale probleme moguće je rješavati dogradnjom mreže, no tehnički, sociološki i regulatorni problemi sugeriraju potrebu za razmatranjem i drugih rješenja, kao što su spremnici električne energije, koja osim prevladavanja navedenih prepreka imaju potencijal omogućavanja tranzicije prema nisko ugljičnom energetskom sustavu. Fleksibilnost koju takva rješenja pružaju, pri tome se misli na kapacitet, položaj i mogućnost pružanja više usluga potrebnih sustavu, jedan je od ključnih parametara naprednih energetskih mreža. U disertaciji su predstavljene usluge koje bi spremnik energije svojim kontroliranim punjenjem i pražnjenjem mogao pružiti operatoru sustava i korisnicima mreže pružajući im dodatnu fleksibilnost kojom se izbjegava narušavanje tehničkih ograničenja mreže. U disertaciji je prikazan konveksni model za određivanje veličine i položaja spremnika u distribucijskoj mreži temeljen ograničenjima stošca drugog reda. Razvijena je aplikacija koja objedinjuje prikupljanje podataka iz aplikacija za mrežne analize ili geoinformacijskih sustava i sam optimizacijski algoritam za određivanje veličine i položaja spremnika u mreži. Napravljena je analiza optimalnog određivanja veličine spremnika i pogona u aktivnim distribucijskim mrežama te je točnost optimizacijskog algoritma potvrđena usporedbom s konvencionalnim proračunom tokova snaga. Dobiveni rezultati pokazuju ispravnost metode u promatranim scenarijima i doprinose optimalno planiranih spremnika fleksibilnosti aktivne distribucijske mreže.

Abstract (english)

Distribution network planning and operation is affected by new technologies such as distributed generation and electric vehicle charging stations. Emerging problems could be solved by network upgrades, but technical, sociological and regulatory problems suggest that other solutions should be considered, such as energy storage systems, which in addition to overcoming these obstacles have the potential to enable the transition to a low-carbon energy systems. Provided flexibility, meaning the capacity, position and ability to provide several services required by the system is one of the key drivers for smart grids. The dissertation presents the services energy storage systems could provide to the system operator and other network users with their ability to control charging and discharging of electrical power and providing users with additional flexibility required to maintain the network within technical limitations. Convex model for energy storage systems siting and sizing based on second order cone constraints is presented. Furthermore, an application for network data parameter acquisition has been developed. Analyses of optimal energy storage system siting and sizing were conducted and optimization algorithm accuracy was verified by comparison to conventional power flow tools. Obtained results validated the contribution of energy storage systems to distribution network flexibility.

• Keywords: spremnici energije; stožasto programiranje; optimalni tokovi snaga; aktivna distribucijska mreža
• Keywords (english): Energy Storage Systems; Second Order Cone Programming; Optimal Power Flow; Active Distribution Network
• Language: croatian
• URN:NBN: urn:nbn:hr:168:080265
• Study programme: Title: Doctoral study programme "Electrical Engineering and Computing"; Study programme type: university; Study level: postgraduate; Academic / professional title: doktor/doktorica znanosti, po-dručje tehničkih znanosti (doktor/doktorica znanosti, po-dručje tehničkih znanosti)
• Catalog URL: http://lib.fer.hr/cgi-bin/koha/opac-detail.pl?biblionumber=52605
• Type of resource: Text
• Extent: xi, 118 str.
• File origin: Born digital
• Access conditions: Access restricted to students and staff of home institution
• Created on: 2022-03-15 09:21:30