Decentralized Coordinated Fuzzy Stabilization Control of Power System: An LMI Approach

DOI

10.2991/icmmita-15.2015.152How to use a DOI?

Keywords

power system; decentralized coordinated control; T-S fuzzy model; stabilization control; linear matrix inequality

Abstract

This paper introduces a decentralized coordinated fuzzy stabilization control of power system. First, the Takagi and Sugeno (T-S) fuzzy model is employed to approximate system-wide nonlinear model of power system. Next, based on the fuzzy model, a fuzzy controller with decentralized constrain is developed to achieve the suboptimal control. A robust stabilization technique is also proposed to override the oscillations. Finally, the suboptimal control is parameterized in terms of three eigenvalue problems (EVP’s), which can be solved conveniently by using linear matrix inequality (LMI) optimization techniques. A simulation example is used to illustrate the contributions of the proposed method. The results demonstrate that the proposed method gives a desired performance.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Shihe Chen
AU  - Xi Zhang
AU  - Xiaoming Li
AU  - Shilin Wang
AU  - Yan Pan
AU  - Yuguang Niu
AU  - Zhongwei LIn
PY  - 2015/11
DA  - 2015/11
TI  - Decentralized Coordinated Fuzzy Stabilization Control of Power System: An LMI Approach
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 811
EP  - 818
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.152
DO  - 10.2991/icmmita-15.2015.152
ID  - Chen2015/11
ER  -