Delay-independent decentralized stabilizer design for large interconnected power systems based on WAMS

被引：26
作者：
Dou, Chun-xia [1 ,2 ]
Jia, Qing-quan [1 ]
Jin, Shi-jiu [2 ]
Bo, Zhi-qian [3 ]
机构：
[1] Yanshan Univ, Inst Elect Engn, Qinhuangdao 066004, Peoples R China
[2] Tianjin Univ, State Key Lab Precis Measuring Technol & Instrume, Tianjin 300072, Peoples R China
[3] AREVA Protect Control Ltd, Stafford ST17 4LX, England
来源：
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS | 2007年 / 29卷 / 10期
基金：
中国国家自然科学基金;
关键词：
power systems; WAMS; delay-independent; H-infinity fuzzy control; LMI; T-S fuzzy model;
D O I：
10.1016/j.ijepes.2007.06.024
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Recent stabilizer design using wide-area measurement systems (WAMS) signals has been suggested to enhance the dynamic performance of large interconnected power systems. However, there is an unavoidable delay involved before these signals are received at the stabilizer site. Long time-delay may be detrimental to system stability and may degrade system performance. Therefore, the delay-independent robust control problem of large interconnected power systems based on WAMS is studied via H. fuzzy control method. First, a set of equivalent Takagi-Sugeno (T-S) fuzzy model is employed to represent the large interconnected power systems. A wide-area state feedback decentralized control scheme is developed to stabilize the T-S fuzzy systems without any wide-area signals delay information such that the H. performance is achieved. The H. fuzzy robust control design problem is parameterized in terms of a linear matrix inequality (LMI) problem, and the LMI problem can be solved very efficiently using the convex optimization techniques. Finally, the performance of the robust control is studied using a fourteen-machine interconnected power system example. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：775 / 782
页数：8
相关论文
共 30 条
[1]  
BALARKO C, 2004, IEEE T POWER SYST, V19, P1971
[2]  
Boy S., 1994, Linear MatrixInequalities in System and Control Theory
[3]  
CHAN WS, 1980, IEEE T AUTOMATIC CON, V25, P106
[4]  
Chen BS, 1996, IEEE T FUZZY SYST, V4, P32, DOI 10.1109/91.481843
[5]  
CHEN BS, 1987, IEEE T AUTOMAT CONTR, V32, P1131, DOI 10.1109/TAC.1987.1104512
[6]   Robustness design of nonlinear dynamic systems via fuzzy linear control [J].
Chen, BS ;
Tseng, CS ;
Uang, HJ .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1999, 7 (05) :571-585
[7]  
Chen BS, 2000, IEEE T FUZZY SYST, V8, P249, DOI 10.1109/91.855915
[8]  
CHEN BS, 2001, FUZZY SETS SYST, V124, P213
[9]  
CHEN YH, 1998, INT J CONTROL, V111, P1195
[10]   A delay-dependent approach to robust H∞ filtering for uncertain discrete-time state-delayed systems [J].
Gao, HJ ;
Wang, CH .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (06) :1631-1640
123