DocumentCode
2830499
Title
A genetic approach to power system topological observability
Author
Mori, Hiroyuki ; Tanaka, Hiroaki
Author_Institution
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
fYear
1991
fDate
11-14 Jun 1991
Firstpage
1141
Abstract
The authors describe a genetic approach to power system topological observability in state estimation. The genetic algorithms (GAs) are effective for the topological observability of combinatorial problems. Here, the problem is reformulated into one of the integer programming problems to make the cost function of GAs. The proposed method is examined in IEEE 14 and 30 node systems. The simulation results have indicated that the genetic algorithms are effective for the topological observability problem
Keywords
genetic algorithms; integer programming; observability; power system control; IEEE 14-node system; IEEE 30-node system; combinatorial problems; cost function; genetic algorithms; genetic approach; integer programming; power system topological observability; state estimation; Artificial neural networks; Cost function; Equations; Genetic algorithms; Iterative algorithms; Observability; Power system analysis computing; Power system reliability; Power systems; State estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176568
Filename
176568
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