Pretraga

Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 899892

The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters

Barukčić, Marinko; Žgela, Matej; Buljić, Dalibor
The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters // Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017) / Žagar, D. ; Martinović, G. ; Rimac Drlje, S. ; Miličević, K. (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 209-215 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

CROSBI ID: 899892 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters

Autori
Barukčić, Marinko ; Žgela, Matej ; Buljić, Dalibor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2017, 209-215

ISBN
978-1-5386-3776-0

Skup
International Conference on Smart Systems and Technologies 2017 (SST 2017)

Mjesto i datum
Osijek, Hrvatska, 18.10.2017. - 20.10.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
co–simulation ; DEAP ; distribution network ; NSGA–II ; PyGMO ; SPEA2

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
All rights reserved. Copyright ©2017 by IEEE. IEEE Catalog Number: CFP17G03-PRT



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Marinko Barukčić (autor)

Citiraj ovu publikaciju:

Barukčić, Marinko; Žgela, Matej; Buljić, Dalibor
The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters // Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017) / Žagar, D. ; Martinović, G. ; Rimac Drlje, S. ; Miličević, K. (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 209-215 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Barukčić, M., Žgela, M. & Buljić, D. (2017) The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters. U: Žagar, D., Martinović, G., Rimac Drlje, S. & Miličević, K. (ur.)Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017).
@article{article, author = {Baruk\v{c}i\'{c}, Marinko and \v{Z}gela, Matej and Bulji\'{c}, Dalibor}, year = {2017}, pages = {209-215}, keywords = {co–simulation, DEAP, distribution network, NSGA–II, PyGMO, SPEA2}, isbn = {978-1-5386-3776-0}, title = {The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters}, keyword = {co–simulation, DEAP, distribution network, NSGA–II, PyGMO, SPEA2}, publisher = {Fakultet elektrotehnike, ra\v{c}unarstva i informacijskih tehnologija Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Osijek, Hrvatska} }
@article{article, author = {Baruk\v{c}i\'{c}, Marinko and \v{Z}gela, Matej and Bulji\'{c}, Dalibor}, year = {2017}, pages = {209-215}, keywords = {co–simulation, DEAP, distribution network, NSGA–II, PyGMO, SPEA2}, isbn = {978-1-5386-3776-0}, title = {The Python–OpenDSS Co–simulation for the Evolutionary Multiobjective Optimal Allocation of the Single Tuned Passive Power Filters}, keyword = {co–simulation, DEAP, distribution network, NSGA–II, PyGMO, SPEA2}, publisher = {Fakultet elektrotehnike, ra\v{c}unarstva i informacijskih tehnologija Sveu\v{c}ili\v{s}ta Josipa Jurja Strossmayera u Osijeku}, publisherplace = {Osijek, Hrvatska} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)

Podijeli:





Contrast
Increase Font
Decrease Font
Dyslexic Font
CROSBI koristi kolačiće (cookies) kako bi poboljšao funkcionalnost stranice.