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

被引:0
作者
Chen, Shihe [1 ]
Zhang, Xi [1 ]
Lia, Xiaoming [2 ]
Wang, Shilin [2 ]
Pan, Yan [2 ]
Niu, Yuguang [2 ]
Lin, Zhongwei [2 ]
机构
[1] Guangdong Power Grid Corp, Elect Power Res Inst, Guangzhou 510000, Guangdong, Peoples R China
[2] North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China
来源
PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS | 2015年 / 35卷
关键词
power system; decentralized coordinated control; T-S fuzzy model; stabilization control; linear matrix inequality;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:811 / 818
页数:8
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