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2021 | R. 97, nr 2 | 149--152
Tytuł artykułu

The influence of energy storage systems on emissions reduction in power generation systems based on dual optimization methods

Wybrane pełne teksty z tego czasopisma
Warianty tytułu
PL
Wpływu systemów magazynowania energii na ekonomiczne planowanie emisji w elektrowniach
Języki publikacji
EN
Abstrakty
EN
This paper investigates methods to find out the effects of energy storage systems on economic emissions scheduling in power plants (ESS for EES). ESS for EES can assist in scheduling generator operations by considering fuel costs, emission levels, energy storage systems while still meeting load demands and operational constraints so that the optimal results are obtained. In this article, the ESS problem for EES is formulated as a multi-objective problem by considering the fuel costs and emissions objectives of the generating units
PL
W artykule zbadano wpływu systemów magazynowania energii na ekonomiczne planowanie emisji w elektrowniach (ESS dla EES). ESS dla EES może pomóc w planowaniu pracy generatora, biorąc pod uwagę koszty paliwa, poziomy emisji, systemy magazynowania energii, jednocześnie spełniając wymagania obciążenia i ograniczenia operacyjne, aby uzyskać optymalne wyniki. W tym artykule problem ESS dla EES został sformułowany jako problem wielozadaniowy, biorąc pod uwagę cele w zakresie kosztów paliwa i emisji jednostek wytwórczych.
Wydawca

Rocznik
Strony
149--152
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
Bibliografia
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  • [23] D. Dong, Z. Ye, Y. Cao, S. Xie, F. Wang, and W. Ming, "An Improved Association Rule Mining Algorithm Based on Ant Lion Optimizer Algorithm and FP-Growth," in 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS), 2019, vol. 1, pp. 458-463: IEEE.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.baztech-442b70ee-b84a-48a1-8290-69868fbfdb4b
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