DocumentCode
1817651
Title
New fuzzy multicriteria decision making algorithm to distribution network reconfiguration
Author
Bernardon, D.P. ; Garcia, V.J. ; Ferreira, A. S Q ; Canha, L.N. ; Abaide, A.R.
fYear
2009
fDate
1-4 Sept. 2009
Firstpage
1
Lastpage
5
Abstract
Topological reconfiguration corresponds to an important tool for planning and operation of electric power distribution systems. Considering the distribution operation planning, how much time one algorithm gets an alternative topological status for the system is not a matter of importance, since the main objective assumed involves: power losses reduction, enhancing the voltage profile and increasing the reliability levels. In this challenge, multiple criteria might be used according to the utility purpose in observation of regulation policies and public awareness. Despite the complexity of this combinatorial issue in large systems, researchers are making an effort to find effective optimization methods since the classic ones do not represent a reasonable alternative. This work has been especially motivated by these assumptions, implying the developing of a new fuzzy multicriteria decision making algorithm and software to distribution network reconfiguration, aiming at the adequate processing of the information sources available at the utilities. The effectiveness of the proposed algorithm is demonstrated with case studies involving actual distribution systems.
Keywords
decision making; fuzzy set theory; optimisation; power distribution planning; power distribution reliability; distribution network reconfiguration; electric power New distribution system planning; fuzzy multicriteria decision making algorithm; optimization methods; power losses reduction; voltage profile enhancement; Decision making; Fuzzy algorithms; multicriteria decision making; network reconfiguration; power losses; reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference (UPEC), 2009 Proceedings of the 44th International
Conference_Location
Glasgow
Print_ISBN
978-1-4244-6823-2
Type
conf
Filename
5429363
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