Mismatched disturbance attenuation control for static var compensator with uncertain parameters

被引:4
作者
Safa, Alireza [1 ]
Sakhaeifar, Mahsa [2 ]
机构
[1] Islamic Azad Univ, Tabriz Branch, Young Researchers & Elite Club, Tabriz, Iran
[2] Islamic Azad Univ, Maragheh Branch, Dept Engn, Maragheh, Iran
关键词
Static var compensator; Disturbance observer; Matched and mismatched disturbances; Optimal control; Power system stability; Robust control; POWER-SYSTEM; NEURAL-NETWORK; ROBUST-CONTROL; OBSERVER; STABILITY; DESIGN; MODEL; SVC;
D O I
10.1016/j.ijepes.2017.02.007
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
The use of a static var compensator (SVC) as a component of flexible alternating current transmission system (FACTS) devices to control power systems has been investigated for decades. Its aim is to regulate the system voltage and improve the stability and loadability of power systems. A typical assumption in such a system is that the parameters of the controlled system are known accurately, which is rarely satisfied in practice. This paper explores the development of a simple but effective controller for a single-machine infinite-bus power system with SVC subjected to both matched and mismatched disturbances where the controller derivation is based on the assumption that all parameters used in the system modeling are unknown, but bounded in size. The research in this paper illustrates how an indirect robust control can be incorporated with a modified disturbance observer-based feedforward term to attenuate the influence of parameter variations and disturbances from the outputs of the system. Simulation results are presented to confirm the effectiveness of the proposed scheme. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:61 / 70
页数:10
相关论文
共 27 条
[1]   Optimal multiobjective design of robust power system stabilizers using genetic algorithms [J].
Abdel-Magid, YL ;
Abido, MA .
IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (03) :1125-1132
[2]   A neural network-based approach for on-line dynamic stability assessment using synchronizing and damping torque coefficients [J].
AbuAlFeilat, E ;
Bettayeb, M ;
AlDuwaish, H ;
Abido, M ;
Mantawy, A .
ELECTRIC POWER SYSTEMS RESEARCH, 1996, 39 (02) :103-110
[3]  
[Anonymous], 2012, Optimal Control Theory: An Introduction
[4]   Intelligent fuzzy-based reactive power compensation of an isolated hybrid power system [J].
Banerjee, Abhik ;
Mukherjee, V. ;
Ghoshal, S. P. .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2014, 57 :164-177
[5]   Robust neural network-based control of static var compensator [J].
Chang, Yeong-Chan .
IET POWER ELECTRONICS, 2014, 7 (08) :1964-1977
[6]   A nonlinear disturbance observer for robotic manipulators [J].
Chen, WH ;
Ballance, DJ ;
Gawthrop, PJ ;
O'Reilly, J .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (04) :932-938
[7]   A power control strategy to improve power system stability in the presence of wind farms using FACTS devices and predictive control [J].
Darabian, Mohsen ;
Jalilvand, Abolfazl .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2017, 85 :50-66
[8]  
Grigsby LL, 2012, ELECTR POWER ENGN SE, pIX
[9]   Optimal non-linear robust control for non-linear uncertain systems [J].
Haddad, WM ;
Chellaboina, V ;
Fausz, JL ;
Leonessa, A .
INTERNATIONAL JOURNAL OF CONTROL, 2000, 73 (04) :329-342
[10]   Application of polynomial control to design a robust oscillation-damping controller in a multimachine power system [J].
Hasanvand, Hamed ;
Mozafari, Babak ;
Aryan, Mohammad R. ;
Amraee, Turaj .
ISA TRANSACTIONS, 2015, 59 :343-353