DocumentCode
1269478
Title
Mean field theory for optimal power flow
Author
Chen, Luonan ; Hideki Suzuki ; Katou, Kazuo
Author_Institution
KCC Ltd., Tokyo, Japan
Volume
12
Issue
4
fYear
1997
fDate
11/1/1997 12:00:00 AM
Firstpage
1481
Lastpage
1486
Abstract
We present a method based on mean field theory to cope with the mixed nonlinear integer programming, especially with optimal power flow problems involving both continuous and discrete variables, in a more exact manner. That is, we first formulate OPF as a mixed integer programming, and then derive its mean field equations as well as the annealing algorithm, by taking advantage of the characteristics of the original problems. Numerical simulations have verified effectiveness of this approach for small power systems
Keywords
integer programming; load flow; nonlinear programming; simulated annealing; annealing algorithm; continuous variables; discrete variables; mean field equations; mean field theory; mixed integer programming; mixed nonlinear integer programming; numerical simulations; optimal power flow; Annealing; Linear programming; Load flow; Neural networks; Nonlinear equations; Phase shifters; Phase transformers; Power engineering; Power generation; Power industry;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.627845
Filename
627845
Link To Document