Title :
Mean field theory for optimal power flow
Author :
Chen, Luonan ; Hideki Suzuki ; Katou, Kazuo
Author_Institution :
KCC Ltd., Tokyo, Japan
fDate :
11/1/1997 12:00:00 AM
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;
Journal_Title :
Power Systems, IEEE Transactions on
