DocumentCode :
1167152
Title :
Parallel simulated annealing for power system decomposition
Author :
Mori, Hiroyuki ; Takeda, Koichi
Author_Institution :
Dept. of Electr. Eng., Meiji Univ., Kawasaki, Japan
Volume :
9
Issue :
2
fYear :
1994
fDate :
5/1/1994 12:00:00 AM
Firstpage :
789
Lastpage :
795
Abstract :
This paper proposes a parallel optimization approach to power system decomposition for voltage control. In this paper, a parallel simulated annealing (PSA) technique is developed to decompose power systems so that subsystems are equally separated in terms of the number of nodes and control variables. System decomposition is one of difficult discrete number combinatorial problems. The PSA technique provides better solutions than the conventional SA because of searching a solution near a global minimum over a wide range. The proposed method is tested in IEEE 30, 57, and 118 node systems
Keywords :
combinatorial mathematics; control system analysis; optimal control; power system control; simulated annealing; voltage control; discrete number combinatorial problems; optimization; parallel simulated annealing; power system decomposition; voltage control; Computational modeling; Control systems; Electric variables control; Power system control; Power system security; Power system simulation; Power systems; Simulated annealing; System testing; Voltage control;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/59.317638
Filename :
317638
Link To Document :
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