By Topic

Study and application of multiple model adaptive control strategy in power system

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

1 Author(s)
Zhuo-qun Zhao ; School of Mechanical &Vehicle engineering, Hunan University, Changsha410082, China

Installing damping controller is an effective means to prevent the emergence of low-frequency oscillation in the interconnected power system. The control strategy of traditional Linear TCSC(thyristor controlled series compensator) damping controller is simple and easy to be implemented, but its adaptability and robustness is poor; the nonlinear TCSC damping controller has the better adaptability and robustness, but its control strategy is too complicated. To solve these problems, A multiple model adaptive control strategy is put forward in this thesis. Based on the recursive Bayes theorem, the weight for each model is calculated and final output of the controller is synthesized by the weights. A more satisfied performance in adaptive and robust for the new model is proofed by the simulation result.

Published in:

Power Engineering and Automation Conference (PEAM), 2011 IEEE  (Volume:3 )

Date of Conference:

8-9 Sept. 2011