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Application of Optimal Power Flow to Power System with Wind Power Plants (CROSBI ID 654776)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Magoč, Mihajlo ; Fekete, Krešimir ; Knežević, Goran ; Topić, Danijel Application of Optimal Power Flow to Power System with Wind Power Plants // Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017) / Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana et al. (ur.). Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2017. str. 69-75

Podaci o odgovornosti

Magoč, Mihajlo ; Fekete, Krešimir ; Knežević, Goran ; Topić, Danijel

engleski

Application of Optimal Power Flow to Power System with Wind Power Plants

This paper demonstrates application of two optimization methods on the electric power system consisting of one large wind farm, two hydro power plants and two thermal power plants. First optimization algorithm deals only with cascaded hydro power plants in the system. The objective of the optimization is to find optimal dispatch (production) plan of two cascaded hydro power plants maximizing the profit from day ahead electricity market. Obtained dispatch plan together with the wind forecast are used as an input data for the second optimization problem – optimal power flow applied to the whole power system. Objective of the second optimization is to find optimal dispatch of the thermal power plants regarding to the hydro power plants dispatch plan and wind forecast. In order to take into account stochastic character of wind power plant production, optimal power flow for two additional scenarios is simulated. First, it is assumed that actual wind power plant production is 30% less than forecasted and in the second scenario it is assumed that actual wind power plant production is 30% higher than forecasted. In order to balance wind power output variation, one hydro power plant and two thermal power plants are used.

optimal power flow ; wind power plant ; wind forecast ; optimization ; linear programing

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Podaci o prilogu

69-75.

2017.

objavljeno

Podaci o matičnoj publikaciji

Proceedings of International Conference on Smart Systems and Technologies 2017 (SST 2017)

Žagar, Drago ; Martinović, Goran ; Rimac Drlje, Snježana ; Miličević, Kruno

Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku

978-1-5386-3776-0

Podaci o skupu

International Conference on Smart Systems and Technologies 2017 (SST 2017)

predavanje

17.10.2017-20.10.2017

Osijek, Hrvatska

Povezanost rada

Elektrotehnika