A novel Data Envelopment Analysis model with complex numbers : measuring the efficiency of electric generators in steam power plants

• Autorzy: Esfandiari Mahmood , Saati Saber , Navabakhsh Mehrzad , Khalili-Damghani Kaveh

Identyfikatory

DOI

10.37190/ord190403

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

data envelopment analysis; power plant; power plant efficiency; complex numbers

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Operations Research and Decisions
• Rocznik: 2019
• Tom: Vol. 29, No. 4
• Strony: 41--52
• Opis fizyczny: Bibliogr. 21 poz., rys.

Twórcy

autor

Esfandiari Mahmood

• Department of Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

autor

Saati Saber

• Department of Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran
• Department of Mathematics, North Tehran Branch, Islamic Azad University, Tehran, Iran

autor

Navabakhsh Mehrzad

• Department of Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

autor

Khalili-Damghani Kaveh

• Department of Industrial Engineering, Faculty of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran

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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 (2020).