An Interval Type-2 Fuzzy Logic PSS with the optimal H∞ tracking control for multi-machine power system

被引:0
作者
Ben Meziane, Khaddouj [1 ]
Boumhidi, Ismail [1 ]
机构
[1] Univ Sidi Mohammed Ben Abdellah, Dept Phys, LESSI Lab, Fac Sci Dhar el Mahraz, Fes, Morocco
来源
2015 INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV) | 2015年
关键词
multi-machine power syste; Interval type-2 fuzzy logic; power System Stabilizer; H infinity tracking control; DESIGN; OPTIMIZATION; STABILIZER;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this paper is to design a nonlinear robust controller for a multi-machine power system. The optimal H infinity tracking control combined with the interval type-2 fuzzy logic control as a power system stabilizer is proposed in this study. The type-2 fuzzy logic based on interval value sets is capable for modeling the uncertainty and imprecision and to overcome the drawbacks of the conventional PSS. The optimal H infinity tracking control guarantees the convergence of the errors to the neighborhood of zero. The objective of the proposed method is to enhance the stability and the dynamic response of the multi-machine power system in different operating conditions. In order to test the effectiveness of the proposed method, the simulation results show the damping of the oscillations of the angle and angular speed with reduced overshoots and quick settling time.
引用
收藏
页数:8
相关论文
共 22 条
[1]   A nonlinear voltage controller based on interval type 2 fuzzy logic control system for multimachine power systems [J].
Abbadi, A. ;
Nezli, L. ;
Boukhetala, D. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2013, 45 (01) :456-467
[2]  
Abido MA, 2010, STUD COMPUT INTELL, V302, P1
[3]  
Ben Meziane Khaddouj, 2013, Journal of Theoretical and Applied Information Technology, V54, P331
[4]   Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms [J].
Castillo, O. ;
Melin, P. ;
Alanis, A. ;
Montiel, O. ;
Sepulveda, R. .
SOFT COMPUTING, 2011, 15 (06) :1145-1160
[5]  
Castillo O., INFORM SCI IN PRESS
[6]   Evolutionary computing for topology optimization of type-2 fuzzy systems [J].
Castillo, Oscar ;
Martinez, Alma Isabel ;
Martinez, Alma Cristina .
ANALYSIS AND DESIGN OF INTELLIGENT SYSTEMS USING SOFT COMPUTING TECHNIQUES, 2007, 41 :63-+
[7]  
Chen BS, 1996, IEEE T FUZZY SYST, V4, P32, DOI 10.1109/91.481843
[8]   Robust excitation control. design using sliding-mode technique for multimachine power systems [J].
Colbia-Vega, A. ;
de Leon-Morales, J. ;
Fridman, L. ;
Salas-Pena, O. ;
Mata-Jimenez, M. T. .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (09) :1627-1634
[9]  
Imam R., 2009, INT J ELECT ELECT EN, V3, P593
[10]   Interval type-2 fuzzy logic systems: Theory and design [J].
Liang, QL ;
Mendel, JM .
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2000, 8 (05) :535-550