DocumentCode :
330444
Title :
Optimal energy restoration for general distribution systems by genetic algorithms
Author :
Bretas, N.G. ; Delbem, A.C.B. ; de Carvalho, A.
Author_Institution :
Sao Paulo Univ., Brazil
Volume :
1
fYear :
1998
fDate :
18-21 Aug 1998
Firstpage :
43
Abstract :
Several approaches have been developed to restore energy for an outage zone in distribution systems, after a fault in the network has been identified and isolated. To achieve the energy restoration, those approaches perform the restoration only for circuits with specific features; additionally, they are not able to deal with large outage zones. This paper develops a method using genetic algorithms (GA) for energy restoration. The algorithm overcomes the combinatorial characteristic and copes with nonlinear and noncontinuous objective function inherent to this kind of problem. A new representation for distribution systems is also proposed. The efficiency of the proposed approach is shown using a fairly complex distribution system
Keywords :
fault location; genetic algorithms; power distribution faults; power system restoration; combinatorial characteristic; complex distribution system; distribution systems; genetic algorithms; network fault identification; noncontinuous objective function; nonlinear objective function; optimal energy restoration; outage zone; Acceleration; Circuit faults; Complex networks; Distributed computing; Fault diagnosis; Genetic algorithms; Network topology; Relays; Switches; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
Type :
conf
DOI :
10.1109/ICPST.1998.728705
Filename :
728705
Link To Document :
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