Pregled bibliografske jedinice broj: 182601
Genetic Algorithm Application in the Optimization of the Ship's Electrict Power System Load
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)
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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