A multi-criteria optimization method combining a probabilistic approach and AHP to research an optimum remote controlled electrical distribution Network

Joint Authors

Laabassi, Hisham
Marufi, Muhammad

Source

Journal of Electrical Systems

Issue

Vol. 14, Issue 4 (31 Dec. 2018), pp.85-101, 17 p.

Publisher

Piercing Star House

Publication Date

2018-12-31

Country of Publication

Algeria

No. of Pages

17

Main Subjects

Electronic engineering

Topics

Abstract EN

This work aims to establish a research method to find the optimal exploitation of the Remote Terminal Units (RTUs) in order to optimize reliability and operations in electrical distribution networks, this optimum is determined in two steps: 1) determination of the optimal choices of the substation to be remotely controlled, 2) the optimal number of substations, i.e.

the optimal investment.

For this, a multi-criteria optimization method combining a probabilistic approach and the Analytical Hierarchical Process was adopted to determine the principal points of the network; subsequently, a cost/worth analysis study was done to determine the optimal investment.

American Psychological Association (APA)

Laabassi, Hisham& Marufi, Muhammad. 2018. A multi-criteria optimization method combining a probabilistic approach and AHP to research an optimum remote controlled electrical distribution Network. Journal of Electrical Systems،Vol. 14, no. 4, pp.85-101.
https://search.emarefa.net/detail/BIM-833597

Modern Language Association (MLA)

Laabassi, Hisham& Marufi, Muhammad. A multi-criteria optimization method combining a probabilistic approach and AHP to research an optimum remote controlled electrical distribution Network. Journal of Electrical Systems Vol. 14, no. 4 (2018), pp.85-101.
https://search.emarefa.net/detail/BIM-833597

American Medical Association (AMA)

Laabassi, Hisham& Marufi, Muhammad. A multi-criteria optimization method combining a probabilistic approach and AHP to research an optimum remote controlled electrical distribution Network. Journal of Electrical Systems. 2018. Vol. 14, no. 4, pp.85-101.
https://search.emarefa.net/detail/BIM-833597

Data Type

Journal Articles

Language

English

Notes

Includes appendices : p. 100-101

Record ID

BIM-833597