By Topic

Power systems transient stability preventive control incorporating network series compensation with the aid of If-Then rules extracted from a multilayer perceptron artificial neural network

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
$31 $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

1 Author(s)
Lin Yu-Jen ; Dept. of Electr. Eng., I-Shou Univ., Kaohsiung, Taiwan

Power system preventive control is dominated by generation rescheduling. Other preventive control actions are rarely mentioned in the literature. This paper presents a transient stability preventive control design that takes series compensation into account. The design methodology is aided with the `If-Then' rules extracted from a trained multilayer perceptron (MLP) artificial neural network (ANN). Characteristic of this paper is twofold. We may have one more degree of freedom by incorporation of series compensation when designing preventive control, and we may have additional flexibility in deploying preventive control actions by means of the proposed methodology. Two preventive control schemes are presented and applied to 39-bus power system. Extensive computational studies have demonstrated the effectiveness of the proposal.

Published in:

Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2011 4th International Conference on

Date of Conference:

6-9 July 2011