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Autor
Esfandiari Mahmood (South Tehran Branch, Islamic Azad University, Tehran, Iran), Saati Saber (South Tehran Branch, Islamic Azad University, Tehran, Iran; North Tehran Branch, Islamic Azad University, Tehran, Iran), Navabakhsh Mehrzad (South Tehran Branch, Islamic Azad University, Tehran, Iran), Khalili-Damghani Kaveh (South Tehran Branch, Islamic Azad University, Tehran, Iran)
Tytuł
A Novel Data Envelopment Analysis Model With Complex Numbers : Measuring the Efficiency of Electric Generators in Steam Power Plants
Źródło
Operations Research and Decisions, 2019, vol. 29, no. 4, s. 41-52, rys., tab., bibliogr. 21 poz.
Słowa kluczowe
Elektrownie, Metoda DEA (analiza obwiedni danych), Studium przypadku
Power station, Data Envelopment Analysis (DEA), Case study
Uwagi
summ.
Kraj/Region
Iran
Iran
Abstrakt
The output of a generator in power plant is the electricity, and it consists of two parts, active and reactive power. These quantities are expressed as complex numbers in which the real part is the active power and the imaginary part is the reactive power. Reactive power plays an important role in an electricity network. Ignoring it will exclude a lot of information. With regard to the importance of the generators in power plants, surely, calculating the efficiency of these units is of great importance. Data Envelopment Analysis (DEA) is a nonparametric approach to measure the relative efficiency of Decision-Making Units (DMUs). Since the generators data are complex numbers, thus, if we the use classical DEA models in order to measure the efficiency of the generators in power plants, the reactive power cannot be considered, and the measurement is limited to the real number of electric power. In this paper, a new DEA model with complex numbers is developed in order to assess the performance of the power plant generators. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Pełny tekst
Pokaż
Bibliografia
Pokaż
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Cytowane przez
Pokaż
ISSN
2081-8858
Język
eng
URI / DOI
http://dx.doi.org/10.37190/ord190403
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