DocumentCode :
1490519
Title :
AHP Decision-Making Algorithm to Allocate Remotely Controlled Switches in Distribution Networks
Author :
Bernardon, Daniel Pinheiro ; Sperandio, Mauricio ; Garcia, Vinícius Jacques ; Canha, Luciane Neves ; Abaide, Alzenira Da Rosa ; Daza, Eric Fernando Boeck
Author_Institution :
Fed. Univ. of Pampa, Algrete, Brazil
Volume :
26
Issue :
3
fYear :
2011
fDate :
7/1/2011 12:00:00 AM
Firstpage :
1884
Lastpage :
1892
Abstract :
Continuity in power supply for the consumers is a permanent concern from the utilities, pursued with the development of technological solutions in order to improve the performance of network restoration conditions. Using remotely controlled switches corresponds to one possible approach to reach such an improvement and gives some convenient remote resources, such as the fault detect, isolation, and transfer loads. This paper presents a methodology implemented in a computer programming language for allocation of these devices in electric distribution systems based on the analytic hierarchical process (AHP) method. The main contributions focus on considering the impact of installing remotely controlled switches in the reliability indices and the AHP decision-making algorithm for the switches allocation. The effectiveness of the proposed algorithm is demonstrated with case studies involving actual systems of the AES Sul utility located in Southern Brazil.
Keywords :
decision making; power distribution reliability; switches; switchgear; AES Sul utility; AHP decision-making algorithm; analytic hierarchical process method; computer programming language; convenient remote resources; distribution networks; electric distribution systems; power supply; remotely controlled switches; Control systems; Decision making; Indexes; Power supplies; Power system reliability; Reliability; Resource management; Analytic hierarchical process (AHP) decision making; distribution networks; logical-structural matrix; reliability; remote-controlled switches;
fLanguage :
English
Journal_Title :
Power Delivery, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8977
Type :
jour
DOI :
10.1109/TPWRD.2011.2119498
Filename :
5744140
Link To Document :
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