DocumentCode
2803582
Title
Fuzzy linear programming for reactive power control
Author
Tomsovic, Kevin
Author_Institution
Inst. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fYear
1990
fDate
5-7 Sep 1990
Firstpage
1120
Abstract
Fuzzy sets are used to generalize the linear programming approach to large-scale power system control problems, and to ensure that the formulated problem accurately reflects the objectives and constraints of the control problem. Multiple objectives and soft constraints are modeled using fuzzy sets. Linear membership functions for the fuzzy sets are defined. Under this definition, the fuzzy optimization problem is reformulated as an equivalent standard linear programming problem. The new objective function represents the compromise among the original competing objectives and the soft constraints. In addition discrete constraints are considered. The approach is applied to the reactive power problem. Numerical examples demonstrate the approach
Keywords
fuzzy set theory; linear programming; optimisation; power system computer control; constraints; discrete constraints; fuzzy linear programming; fuzzy optimization; fuzzy sets; large-scale power system control; objectives; reactive power control; soft constraints; Artificial intelligence; Fuzzy control; Fuzzy set theory; Fuzzy sets; Linear programming; Power system control; Power system modeling; Power systems; Reactive power control; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
Conference_Location
Philadelphia, PA
ISSN
2158-9860
Print_ISBN
0-8186-2108-7
Type
conf
DOI
10.1109/ISIC.1990.128594
Filename
128594
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