By Topic

A fuzzy-genetic algorithm based approach for controlling unscheduled flows using SC and PST

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

2 Author(s)
Gulcihan O. Dag ; Inf. Inst., Istanbul Tech. Univ., Istanbul, Turkey ; Mustafa Bagriyanik

In de-regulated power systems the power flow control problem gains importance when an interconnected power transmission system is operated at or close to its power-carrying limits. Thus, the minimization of unscheduled power flows need to be succeeded efficiently and fast. In this paper, the effects of the devices both series capacitors (SC) and phase shifting transformers (PST) on the minimization of unscheduled power flows are presented. The problem is formulated as a multi objective optimization problem in fuzzy environment. The constraints and objectives are defined using fuzzy membership functions. A finalized problem after fuzzy decision is solved using genetic algorithm. The method is applied to the IEEE 30 bus test system, and the results are presented.

Published in:

North American Power Symposium (NAPS), 2011

Date of Conference:

4-6 Aug. 2011