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doctoral thesis
PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:823236
Vukobratović, Marko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Power Engineering
Chair of Power Systems and Substations

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Vukobratović, M. (2018). PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM (Doctoral thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:823236

Vukobratović, Marko. "PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:823236

Vukobratović, Marko. "PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM." Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:823236

Vukobratović, M. (2018). 'PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM', Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 25 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:823236

Vukobratović M. PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM [Doctoral thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 November 25] Available at: https://urn.nsk.hr/urn:nbn:hr:200:823236

M. Vukobratović, "PLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM", Doctoral thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:823236

Metadata
TitlePLANIRANJE OPTIMALNOG POGONA DISTRIBUIRANE PROIZVODNJE HIBRIDNOM METODOM
Title (english)Planning of Distributed Generation Optimal Operation using Hybrid Method
AuthorMarko Vukobratović
MentorSrete Nikolovski (mentor)
Committee memberDamir Šljivac (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Power Engineering)
(Chair of Power Systems and Substations)
Osijek
Defense date and country2018-07-02, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Power Engineering
Universal decimal classification
(UDC)		621.3 - Electrical engineering
Abstract
U doktorskom radu predstavljen je algoritam kratkoročnog planiranja pogona distribuiranih izvora koji ima za cilj smanjenje tehničkih gubitaka radne snage u aktivnoj distributivnoj mreži. Predloženi algoritam se sastoji od tri cjeline realizirane metodama računalne inteligencije: predviđanja proizvodnje sunčanih elektrana, planiranja optimalnog pogona hibridnih distribuiranih izvora i ocjenjivanja optimizacijskih rješenja. Predviđanje proizvodnje sunčanih elektrana realizirano je modeliranjem višeslojne umjetne neuronske mreže koja temeljem ulaznih podataka o temperaturi zraka, intenzitetu sunčevog zračenja, relativnoj vlažnosti zraka i brzini vjetra pruža podataka o očekivanoj proizvodnji sunčane elektrane. Planiranje optimalnog pogona najsloženiji je dio predloženog algoritma jer podrazumijeva jedinstvenu hibridnu optimizacijsku metodu zasnivanu na inteligenciji roja čestica uz uvažavanje načela elitizma iz genetskog algoritma. Sa optimizacijskom metodom hibridiziran je simulacijski paket MATPOWER koji se koristi za modeliranje ispitnih elektroenergetskih sustava, proračune tokova snaga i tehničko određivanje distribuirane proizvodnje prema parametrima čestica optimizacijske metode. Ocjenjivanje optimizacijskih rješenja treća je cjelina predloženog algoritma, realizirana sustavom neizrazite logike, a pruža ocjenu troškovne učinkovitosti planiranog pogona distribuiranih izvora s obzirom na uštede postignute smanjenjem gubitaka radne snage. Predloženi algoritam kratkoročnog planiranja uspješno je primijenjen u postupcima optimizacije i planiranja pogona distribuiranih izvora na tri ispitna elektroenergetska sustava te potpunu primjenjivost dokazuje visokom razinom učinkovitosti optimizacije aktivnih radijalnih i prstenasto-povezanih elektroenergetskih mreža.
Abstract (english)
The doctoral thesis presents an algorithm for distributed generation short-term planning aimed at reducing the active power technical losses in the distribution network. The proposed algorithm consists of three parts: prediction of solar power plants energy production, optimal operation planning of multiple hybrid distributed generation units, and evaluation of optimization results. Prediction of solar power plants energy production is achieved by modelling multilayer artificial neural network capable of providing the information on expected solar power generation based on input data on air temperature, solar irradiation, relative air humidity, and wind speed. Optimal operation planning of distributed generation is the most complex part of the proposed algorithm because it implies a unique hybrid optimization method based on particle swarm optimization with respect to the elitism principle of the genetic algorithm. The MATPOWER simulation package, which is used for test power systems modelling, power flow calculations, and the technical determination of distributed generation according to the particle parameters, has been hybridized within the optimization method. Evaluation of optimal solutions is a third part of the proposed algorithm, achieved by fuzzy logic system, which provides the evaluation of cost efficiency for the planned operation of distributed generation with respect to savings achieved by active power losses reduction. The proposed short-term planning algorithm has been successfully applied in the optimization and planning of distributed generation in three test power systems, and full applicability is proved by a high level of optimization efficiency of active radial and meshed power networks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:823236
Promotion2018-07-02
Study programmeTitle: Postgraduate doctoral study programme; specializations in: branch Power Engineering and Communications, branch Informatics
Course: branch Power Engineering and Communications
Study programme type: university
Study level: postgraduate
Academic / professional title: doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika (doktor/doktorica znanosti, područje tehničkih znanosti, polje elektrotehnika)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-08-13 07:29:17