Title: An integrated resilience engineering algorithm for performance optimisation of electricity distribution units

Authors: Seyed Hossein Iranmanesh; Mahdokht Tavakoli; Kioumars Heydari; Mahdi Bastan; Reza Yazdanparast

Addresses: School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran ' Energy Policy and Planning Research Centre, Niroo Research Institute, Tehran, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran; Department of Industrial Engineering, University of Eyvanekey, Garmsar, Iran ' School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran

Abstract: This study proposes an integrated Fuzzy Data Envelopment Analysis (FDEA) algorithm performance assessment of the resiliency of electricity distribution units in Iran. The proposed algorithm introduces integrated resilience engineering factors including network length, number of employees, transformers capacity, imports, costs and pollutants as input variables, while the number of customers, total electricity sales and exports are considered output variables. The required data are gathered from Iranian distribution units from 1978 to 2014. The obtained results indicate the most efficient year of electricity distribution in Iran. The results also indicate that the cost of electricity power and imports are the most influential factors affecting electricity distribution efficiency. The proposed algorithm can help managers to increase the overall performance of electricity distribution units in strategic level.

Keywords: fuzzy data development analysis; electricity distribution units; performance assessment; efficiency frontier analysis.

DOI: 10.1504/IJCAT.2019.100303

International Journal of Computer Applications in Technology, 2019 Vol.60 No.3, pp.254 - 266

Received: 27 Oct 2018
Accepted: 12 Nov 2018

Published online: 24 Jun 2019 *

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