By Topic

Establishing a rule base for a hybrid ES/XPS approach to load management

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

4 Author(s)
A. J. Gaul ; Dortmund Univ., Germany ; E. Handschin ; W. Hoffmann ; C. Lehmkoster

Electrical energy has to be generated at the time it is needed. This is in contrast to economic efficiency in power generation since the best operating point for a power plant is constant power generation at its best economical rating. The presented approach shows a way to schedule loads so that some energy is storaged when it is available at lower generation costs. An evolutionary algorithm is evaluated which computes the optimal operation times of the above-mentioned loads. Since the evolutionary strategies (ES) themselves do not consider special cases, a knowledge base is integrated into the algorithm. The resulting approach allows a more efficient application of telecontrol systems for power system load management

Published in:

IEEE Transactions on Power Systems  (Volume:13 ,  Issue: 1 )