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Yugoslav Journal of Operations Research
2019, vol. 29, br. 1, str. 43-50
jezik rada: engleski
vrsta rada: neklasifikovan
objavljeno: 28/02/2019
doi: 10.2298/YJOR171115003G
Fractional programming approach to a cost minimization problem in electricity market
(naslov ne postoji na srpskom)
aSiberian Branch of the Russian Academy of Sciences, Matrosov Institute for System Dynamics and Control Theory, Irkutsk, Russia
bSiberian Branch of the Russian Academy of Sciences, Matrosov Institute for System Dynamics and Control Theory, Irkutsk, Russia + National University of Mongolia, Ulaanbaatar, Mongolia
cNational University of Mongolia, Ulaanbaatar, Mongolia

e-adresa: gruzdeva@icc.ru, renkhbat46@yahoo.com, tungalag88@

Projekat

Project of the Russian Science Foundation, no. N 15-11-20015
Project of the National University of Mongolia (research grant P2017-2455)

Sažetak

(ne postoji na srpskom)
This paper was motivated by a practical optimization problem that appeared in electricity market of Mongolia. We consider the total average cost minimization problem of power companies of the Ulaanbaatar city. By solving an identification problem, we developed a fractional model that quite adequately represents the real data. The obtained problem turned out to be a fractional minimization problem over a box constraint, and to solve it, we propose a method that employs the global search theory for d.c. minimization.

Ključne reči

Fractional Minimization; D.C. Programming; Local Search; Linearization; Average Cost; Electricity Market