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Pregled bibliografske jedinice broj: 1098726

Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles


Barukčić, Marinko; Varga, Toni; Jerković Štil, Vedrana; Benšić, Tin
Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles // 3rd International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering
Budimpešta, 2020. 25, 6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1098726 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles

Autori
Barukčić, Marinko ; Varga, Toni ; Jerković Štil, Vedrana ; Benšić, Tin

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

Izvornik
3rd International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering / - Budimpešta, 2020

Skup
3rd International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering

Mjesto i datum
Budimpešta, Mađarska, 18-19.11.2020

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
co-simulation ; distributed generation ; multi-objective optimization ; power system
(co-simulation, distributed generation, multi- objective optimization, power system)

Sažetak
The co-simulation approach for solving the two- objective optimization problem of optimal allocation of the distributed generations is presented. The daily energy losses and the flatness of the voltage profile are objective functions used in the optimization problem. The proposed procedure is based on a co-simulation setup between a tool for metaheuristic optimization and a tool for power system simulations. The profiles of the renewable (photovoltaic and wind) plant production as well as consumers’ load shape are taken into account in the optimization problem. The presented procedure has been applied to the IEEE 13 Node Test Feeder. The lowest yearly energy losses that can be obtained for given input data are about 45 % decreased compared to the losses in the case without the installed distributed generations. The best index of the voltage profile flatness obtained by optimization is 0.0809 [p.u.] while it was 0.095 [p.u.] without installed distributed generations. The impact of the load shape on the optimal allocation of DGs has been investigated also.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
UIP-2017-05-8572 - Razvoj postupaka kosimulacija programskih alata za primjenu mekog računarstva u elektroenergetici (COPESOC) (Barukčić, Marinko, HRZZ - 2017-05) ( POIROT)

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek


Citiraj ovu publikaciju

Barukčić, Marinko; Varga, Toni; Jerković Štil, Vedrana; Benšić, Tin
Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles // 3rd International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering
Budimpešta, 2020. 25, 6 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Barukčić, M., Varga, T., Jerković Štil, V. & Benšić, T. (2020) Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles. U: 3rd International IEEE Conference AND workshop in Óbuda on Electrical and Power Engineering.
@article{article, year = {2020}, pages = {6}, chapter = {25}, keywords = {co-simulation, distributed generation, multi-objective optimization, power system}, title = {Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles}, keyword = {co-simulation, distributed generation, multi-objective optimization, power system}, publisherplace = {Budimpe\v{s}ta, Ma\djarska}, chapternumber = {25} }
@article{article, year = {2020}, pages = {6}, chapter = {25}, keywords = {co-simulation, distributed generation, multi- objective optimization, power system}, title = {Multiobjective optimal allocation of distributed generation considering load and renewable source power profiles}, keyword = {co-simulation, distributed generation, multi- objective optimization, power system}, publisherplace = {Budimpe\v{s}ta, Ma\djarska}, chapternumber = {25} }




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