Decentralized Coordinated Fuzzy Stabilization Control of Power System: An LMI Approach
- 10.2991/icmmita-15.2015.152How to use a DOI?
- power system; decentralized coordinated control; T-S fuzzy model; stabilization control; linear matrix inequality
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.
- © 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/).
Cite this article
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 -