Selfoptimization local electric systems modes with renewable energy sources

• Autorzy: Lezhniuk Petro , Kravchuk Serhii , Polishchuk Andriy

Identyfikatory

DOI

10.15199/48.2019.06.06

Warianty tytułu

PL

Adaptacyjna optymalizacja systemu energetycznego z odnawialnym źródłem

• Języki publikacji: EN

Abstrakty

EN

The article devoted creating optimal conditions for the integration of renewable energy source (RES) into electric grids, which were designed with power from centralized generation at large power plants. The possibility of simultaneous optimal functioning of electric grids and renewable energy sources is considered. The complex criterion of optimality is the economic mode of power sources, as well as the minimum losses of electricity during its transmission. To optimize the regimes of electricity grids with renewable energy sources, the principle of the least action is used. Optimal control of modes is carried out by the active-adaptive system.

PL

W artykule analizowano optymalne warunki integracji do systemu energetycznego źródła energii odnawialnej. Zaproponowano metode symulacji uwzględniając warunki ekonomiczne i minimum strat przesyłowych. Do optymalizacji wykorzystano aktywny system adaptacyjny.

Słowa kluczowe

EN

electric grid; local electric system; renewable energy source; automated system of optimal control; principle of least action

PL

lokalny system energetyczny; odnawialne źródła energii; optymalizacja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2019
• Tom: R. 95, nr 6
• Strony: 27--31
• Opis fizyczny: Bibliogr. 16 poz., rys.

Twórcy

autor

Lezhniuk Petro

• Vinnytsia National Technical University, st. Khmelnitske shosse 95, 21021, Vinnitsya

autor

Kravchuk Serhii

• Vinnytsia National Technical University, st. Khmelnitske shosse 95, 21021, Vinnitsya

autor

Polishchuk Andriy

• "Vinnytsyaoblenergo" Polishchuk

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).