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Multi Objective Optimization for Energy Production of Distributed Generation in Distribution Feeder


Barukčić, Marinko; Hederić, Željko; Miklošević, Krešimir
Multi Objective Optimization for Energy Production of Distributed Generation in Distribution Feeder // Proceedings EnergyCon 2014 - IEEE International Energy Conference / Kuzle, Igor ; Capuder, Tomislav ; Pandžić, Hrvoje (ur.).
Red Hook, NY 12571 USA: Curran Associates, Inc., 2014. str. 1325-1333 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Multi Objective Optimization for Energy Production of Distributed Generation in Distribution Feeder

Autori
Barukčić, Marinko ; Hederić, Željko ; Miklošević, Krešimir

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

Izvornik
Proceedings EnergyCon 2014 - IEEE International Energy Conference / Kuzle, Igor ; Capuder, Tomislav ; Pandžić, Hrvoje - Red Hook, NY 12571 USA : Curran Associates, Inc., 2014, 1325-1333

ISBN
978-1-4799-2448-6

Skup
EnergyCon 2014 - IEEE International Energy Conference

Mjesto i datum
Dubrovnik, Hrvatska, 13-16.05.2014.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Distributed generation ; Distribution feeder ; Evolutionary strategy ; Multiobjective optimization.

Sažetak
Distributed generation (DG) based on renewable sources becomes more and more implemented in distribution networks. Some of these sources have non constant (wind power plants, photovoltaic planes) and some have a constant power production (biogas plants). Also, loads on a feeder change during the day. There is a need for different optimizations because a number of variable changes over time. The total daily active energy losses, daily financial profit, and total daily active energy production of DG are considered for optimization in the paper. The load changes are considered on day level and for each load separately (not on the feeder level, but on node level). The multiobjective approach is applied in the paper for optimizing. The evolutionary strategy is utilized as the optimization method. The two and three objective optimization problems are presented and solved in the paper. The IEEE 13 node unbalanced distribution test feeder is used for presentation of multiobjective optimization. The proposed procedure is performed using OpenDSS and MATLAB software.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

Napomena
DOI: 10.1109/ENERGYCON.2014.6850595



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Časopis indeksira:


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