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
Issue
Vol. 14, Issue 4 (31 Dec. 2018), pp.85-101, 17 p.
Publisher
Publication Date
2018-12-31
Country of Publication
Algeria
No. of Pages
17
Main Subjects
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