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Pregled bibliografske jedinice broj: 182601

Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load


Krčum, Maja; Gudelj, Anita; Jurić, Zdeslav
Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load // 10th IEEE International Conference on Methods and Models in Automation and Robotics
Międzybrodzie Żywieckie, 2004. str. 201-206 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 182601 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load

Autori
Krčum, Maja ; Gudelj, Anita ; Jurić, Zdeslav

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

Izvornik
10th IEEE International Conference on Methods and Models in Automation and Robotics / - Międzybrodzie Żywieckie, 2004, 201-206

Skup
IEEE International Conference on Methods and Models in Automation and Robotics, MMAR 2004

Mjesto i datum
Międzyzdroje, Poljska, 30.08.2004. - 02.09.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
genetski algoritam; opterećenje elektroenergetskih izvora
(genetic algorithms; load demand)

Sažetak
This paper discusses and analyses the problem of load regulation within the ship's electric power system, the final goal being an optimisation of expenses. Determining an adequate distribution of load with regard to the primary electric power sources in order to achieve optimum effects constitutes an extremely difficult optimisation problem in the solving of which the application of genetic algorithm has proved to be particularly effective. The modulus of power calculations yields the data concerning voltages and losses which, together with other criteria, are used in the GA subsystem in order to conduct the optimisation, resulting in a set of solutions containing the appertaining quality evaluation. Our motivation for applying a genetic algorithm to the unit commitment problem is that it can completely replace mathematical programming methods and is easy to implement as a search procedure.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
0171007

Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Maja Krčum (autor)

Avatar Url Anita Gudelj (autor)

Avatar Url Zdeslav Jurić (autor)


Citiraj ovu publikaciju:

Krčum, Maja; Gudelj, Anita; Jurić, Zdeslav
Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load // 10th IEEE International Conference on Methods and Models in Automation and Robotics
Międzybrodzie Żywieckie, 2004. str. 201-206 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Krčum, M., Gudelj, A. & Jurić, Z. (2004) Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load. U: 10th IEEE International Conference on Methods and Models in Automation and Robotics.
@article{article, author = {Kr\v{c}um, Maja and Gudelj, Anita and Juri\'{c}, Zdeslav}, year = {2004}, pages = {201-206}, keywords = {genetski algoritam, optere\'{c}enje elektroenergetskih izvora}, title = {Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load}, keyword = {genetski algoritam, optere\'{c}enje elektroenergetskih izvora}, publisherplace = {Mi\k{e}dzyzdroje, Poljska} }
@article{article, author = {Kr\v{c}um, Maja and Gudelj, Anita and Juri\'{c}, Zdeslav}, year = {2004}, pages = {201-206}, keywords = {genetic algorithms, load demand}, title = {Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load}, keyword = {genetic algorithms, load demand}, publisherplace = {Mi\k{e}dzyzdroje, Poljska} }




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