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OPTIMIZATION OF THE NUMBER AND SIZE OF MOBILE GENSETS FOR OFF–GRID SYSTEM


Barukčić, Marinko; Barešić, Dejan; Hederić, Željko; Mijić, Ivan
OPTIMIZATION OF THE NUMBER AND SIZE OF MOBILE GENSETS FOR OFF–GRID SYSTEM // Digest book of the 7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18 / Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan (ur.).
Maribor: University of Maribor Press, 2018. str. 57-58 doi:10.18690/978-961-286-171-1 (predavanje, međunarodna recenzija, prosireni, znanstveni)


Naslov
OPTIMIZATION OF THE NUMBER AND SIZE OF MOBILE GENSETS FOR OFF–GRID SYSTEM

Autori
Barukčić, Marinko ; Barešić, Dejan ; Hederić, Željko ; Mijić, Ivan

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prosireni, znanstveni

Izvornik
Digest book of the 7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18 / Seme, Sebastijan ; Hadžiselimović, Miralem ; Štumberger, Bojan - Maribor : University of Maribor Press, 2018, 57-58

ISBN
978-961-286-171-1

Skup
7th SYMPOSIUM ON APPLIED ELECTROMAGNETICS SAEM’18

Mjesto i datum
Podčetrtek, Slovenija, 17-20.06.2018.

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Evolutionary optimization, genset system, planning

Sažetak
The use of the mobile gensets for off–grid application is widened for power supply of mobile camps (for example military camps) or in case of power supply interruption in some areas due to natural disasters. Depending of the costumer load profiles it is interesting to research what size and number of the gensets are the most profitable from economic point of the view. Examples of the optimization of the genset operation can be seen in [1], [2]. Beside this a number of operational optimization of hybrid systems including genset can be found in [3]–[5]. The optimization presented in the research is done by using the evolutionary class of the optimization method. The presented procedure can be used for geneset purchasing in the planning phase and also for optimal genset operations in application phase. The real genset data available on the genset manufacturers web platform are used in the research. The different artificially generated daily load profiles are used presenting different scenarios need to be optimized.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

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