By Topic

Voltage optimization using augmented Lagrangian functions and quasi-Newton techniques

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
C. J. Rehn ; Dept. of Electr. Power Syst., R. Inst. of Technol., Stockholm, Sweden ; J. A. Bubenko ; D. Sjelvgren

The authors shows how the application of augmented Lagrangian functions and quasi-Newton techniques can be utilized for power system voltage optimization. The developed algorithm is attractive for three reasons: it can accommodate power system constraints in a straightforward manner, it is capable of reaching a solution even from infeasible starting-points, and it converges in a few iterations. The proposed algorithm offers substantial improvements in computational efficiency due to: reduction in the dimensionality of the formulation by exploiting variable reduction and active-reactive decoupling in the AC-network, sparse matrix techniques to generate selectively the required sensitivities, and an active set strategy that relaxes all inactive constraints. Computer runs have been performed, and the results prove the efficiency of the algorithm

Published in:

IEEE Transactions on Power Systems  (Volume:4 ,  Issue: 4 )