Comprehensive efficiency evaluation model for electrical distribution system considering social and urban factors

Reza Dashti, Shaghayegh Yousefi and Mohsen Parsa Moghaddam

Energy, 2013, vol. 60, issue C, 53-61

Abstract: This paper addresses a comprehensive efficiency evaluation model for electrical distribution system. Concerning the efficiency of different resources including energy, infrastructure and human resources, the overall distribution system efficiency is determined on the basis of relevant efficiency indicators. The employed efficiency indicators comprising loss, utilization factor, power factor, load factor, energy not supplied and human resource productivity express the efficiency of the above-mentioned resources. The proposed model takes into account the effect of certain external factors on the performance of distribution system. It has been shown that how external factors such as governance, social behavior and urban planning can directly influence the efficiency of the system. The correlation between efficiency indicators and external factors is derived using artificial neural network and a sensitivity analysis is conducted to illuminate the path of efficiency increment through managing the effective external factors. These indices can be used for improvement of the system performance in system planning. An empirical study is addressed here based on a real world distribution network to investigate the performance of the proposed model.

Keywords: Efficiency indicators; Electrical distribution system; External factors; Sensitivity analysis (search for similar items in EconPapers)
Date: 2013
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544213006488
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:60:y:2013:i:c:p:53-61

DOI: 10.1016/j.energy.2013.07.042

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().