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Title:Optimiranje elementov elektroenergetskega omrežja z uporabo evolucijskih algoritmov
Authors:ID Glotić, Adnan (Author)
ID Pihler, Jože (Mentor) More about this mentor... New window
ID Tičar, Igor (Comentor)
Files:.pdf DR_Glotic_Adnan_2011.pdf (6,82 MB)
MD5: 4FD9C52F0705D2A257ED47A00FB96ADF
PID: 20.500.12556/dkum/f19319ee-3828-4849-b11d-05fbe03ad3b6
 
Language:Slovenian
Work type:Dissertation
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V doktorski disertaciji je predstavljen pristop k reševanju različnih optimizacijskih problemov v domeni elektroenergetskega omrežja. Pri tem so predstavljeni rezultati in podrobnosti aplikacij optimizacijskih algoritmov pri reševanju optimizacijskih problemov elementov kot so transformator, podporni kompozitni izolator, plinski odvodnik ter skoznjik, kot tudi primer določanja optimalne konfiguracije srednjenapetostnega omrežja. Kot primarna optimizacijska tehnika je bil uporabljen evolucijski algoritem imenovan diferenčna evolucija. Njegova slabost, ki je sorodna vsem evolucijskim algoritmom, je veliko število cenitev kriterijske funkcije, potrebnih za doseganje konvergence optimizacijskega postopka. Izboljšanje omenjene slabosti je bilo v okviru disertacije realizirano z razširitvijo izvirnega algoritma oz. z njegovo dopolnitvijo s Kriging interpolacijsko metodo. Preskusi na različnih standardnih testnih funkcijah kot tudi na realnem inženirskem problemu so pokazali, da potrebuje novi algoritem v primerjavi z izvirnim povprečno pol manj cenitev dejanske kriterijske funkcije.
Keywords:Diferenčna evolucija, elektroenergetsko omrežje, izolator, Kriging, optimizacija, stikalne naprave
Place of publishing:Maribor
Publisher:[A. Glotić]
Year of publishing:2011
PID:20.500.12556/DKUM-18250 New window
UDC:621.316.93(043.3)
COBISS.SI-ID:14930454 New window
NUK URN:URN:SI:UM:DK:0GKGSSQ4
Publication date in DKUM:04.05.2011
Views:3739
Downloads:556
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Optimization of electrical power network elements by using evolutionary algorithms
Abstract:In this thesis an approach for solving various optimization problems in area of electrical power network elements is presented. Results and details of optimization algorithm applications for solving various elements, such as transformer, post composite insulator, gas discharge arrester, bushing and network configuration problem are also given. Well known evolutionary algorithm, Differential evolution, has been selected as a fundamental optimization technique. Its downside, which is common to all Evolutionary algorithms, is the required large number of iterations, respectively the number of function evaluations in order to achieve the convergence. To improve this property of Differential evolution algorithm, one has been extended to use Kriging interpolation method. Newly developed Kriging-assisted differential evolution algorithm enables the reduction of required function calls. Experiments, which had been conducted on several standard test functions, and also on a real engineering problem, have shown that new algorithm, compared to original Differential evolution algorithm, generally reduces a number of actual function calls by half.
Keywords:Differential evolution, Electrical power network, Insulator, Kriging, Optimization, Switchgear


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