By Topic

Surrogate constraint method for optimal power flow

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)
L. Chen ; KCC (Ltd.), Tokyo, Japan ; S. Matoba ; H. Inabe ; T. Okabe

This paper represents a technique based on constraints surrogate defined by the maximum entropy principle for optimal power flow (OPF) problems. One of the obstacles impeding the OPF calculations is the problem associated with handling a large number of functional inequality constraints, which cause computational inefficiencies for large power systems. To cope with this problem, this paper proposes a methodology which aggregates all inequality constraints into one surrogate constraint with a single parameter according to the maximum entropy principle. This implementation not only reduces the scale or dimensions of OPF problems, but also improves the convergence characteristics. Several numerical examples including a practical power system are provided to show the efficiency of the proposed approach

Published in:

Power Industry Computer Applications., 1997. 20th International Conference on

Date of Conference:

11-16 May 1997