The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters (CROSBI ID 653522)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Barukčić, Marinko ; Žgela, Matej ; Buljić, Dalibor
engleski
The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters
The multiobjective allocation optimization of single tuned passive power filters for decreasing the power losses and harmonic mitigation in distribution networks is presented in the paper. The Pareto definition of the multiobjective problems is used in the paper. The two objectives problem consists of the two technical objective functions, the real power losses and the total harmonic distortion, is used. The evolutionary algorithm is used as optimization technique to solve the problem. The two open source software tools intended for evolutionary optimization and distribution system simulation are used in co– simulation. The presented procedure is demonstrated by applying it on the test feeder example. The comparison of the simulation results obtained by different evolutionary algorithms available in the used optimization tools is given.
co–simulation ; DEAP ; distribution network ; NSGA–II ; PyGMO ; SPEA2
All rights reserved. Copyright ©2017 by IEEE. IEEE Catalog Number: CFP17G03-PRT
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Podaci o prilogu
209-215.
2017.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017)
Žagar, D. ; Martinović, G. ; Rimac Drlje, S. ; Miličević, K.
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku
978-1-5386-3776-0
Podaci o skupu
International Conference on Smart Systems and Technologies 2017 (SST 2017)
predavanje
17.10.2017-20.10.2017
Osijek, Hrvatska
Povezanost rada
Elektrotehnika