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H. Soliman, M. Morsi, M. Hassan, M. Awadallah (2008)
Power System Reliable Stabilization with Actuator FailureElectric Power Components and Systems, 37
Chuanjiang Zhu, M. Khammash, V. Vittal, Wenzheng Qiu (2003)
Robust Power System Stabilizer Design Using Loop Shaping Approach
A. Zecevic, D. Siljak (2010)
Control of Complex Systems: Structural Constraints and Uncertainty
R. Mendes, J. Kennedy, José Neves (2004)
The fully informed particle swarm: simpler, maybe betterIEEE Transactions on Evolutionary Computation, 8
R. You, H. Eghbali, M. Nehrir (2003)
An on-line adaptive neuro-fuzzy power system stabilizer for multimachine systems2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491), 4
T. Hussein, M. Saad, A. Elshafei, A. Bahgat (2008)
Damping inter-area modes of oscillation using an adaptive fuzzy power system stabilizer2008 16th Mediterranean Conference on Control and Automation
M. Mahmoud (2010)
Decentralized Control and Filtering in Interconnected Dynamical Systems
Yong-Yan Cao, J. Lam, Youxian Sun (1998)
Static Output Feedback Stabilization: An ILMI ApproachAutom., 34
B. Pal, B. Chaudhuri (2005)
Robust Control in Power Systems
H. Soliman, E. Bayoumi, M. Awadallah (2010)
Reconfigurable Fault-tolerant PSS and FACTS ControllersElectric Power Components and Systems, 38
Rajeev Gupta, B. Bandyopadhyay, A. Kulkarni (2005)
Robust decentralized fast-output sampling technique based power system stabilizer for a multi-machine power systemInternational Journal of Systems Science, 36
R. You, H. Eghbali, M. Nehrir (2002)
An Online Adaptive Neuro-Fuzzy Power System Stabilizer for Multimachine SystemsIEEE Power Engineering Review, 22
B. Liu, Juhwan Jung, G. Heydt, V. Vittal, A. Phadke (2000)
The strategic power infrastructure defense (SPID) system. A conceptual designIEEE Control Systems, 20
I. Kamwa, R. Grondin, Y. Hebert (2001)
Wide-area measurement based stabilizing control of large power systems-a decentralized/hierarchical approachIEEE Transactions on Power Systems, 16
H. Soliman, A. Elshafei, A. Shaltout, M. Morsi (2000)
Robust power system stabiliser, 147
P. Rao, Sen (2004)
Robust Pole Placement Stabilizer Design Using Linear Matrix Inequalities
H. Bevrani, T. Hiyama (2007)
Multiobjective PI/PID Control Design Using an Iterative Linear Matrix Inequalities Algorithm
V. Bandal, B. Bandyopadhyay, A. Kulkarni (2005)
Decentralized sliding mode control technique based power system stabilizer (PSS) for multimachine power systemProceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005.
Yong He, Qing‐Guo Wang (2006)
An Improved ILMI Method for Static Output Feedback Control With Application to Multivariable PID ControlIEEE Transactions on Automatic Control, 51
K. Parsopoulos, M. Vrahatis (2004)
On the computation of all global minimizers through particle swarm optimizationIEEE Transactions on Evolutionary Computation, 8
P. Kundur (1994)
Power system stability and control
H. Soliman, A. Dabroum, M. Mahmoud, M. Soliman (2011)
Guaranteed-cost reliable control with regional pole placement of a power systemJ. Frankl. Inst., 348
P. Gahinet, A. Nemirovski (2014)
Lmi Control Toolbox For Use With Matlab
A. Swarcewicz, K. Wróblewska-Swarcewicz (2001)
Robust power system stabilizer2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502), 2
(1996)
Analysis and control of power system oscillations', Technical Brochure 111, CIGREs
In this paper, two new power system stabiliser (PSS) designs are proposed. The first one is based on a combined particle swarm optimisation (PSO) with linear matrix inequality (LMI) optimisation thereby improving previous existing results. The property of PSO of not sticking into a local minimum is used to eliminate the conservativeness of the design result utilising the static output feedback (SOF) stabiliser within an iterative solution of LMIs. The proposed design provides robustness against uncertainties wherein power systems operations are changing continuously due to load changes. In addition to load variations, the second controller is based on a derived sufficient condition using PSO-LMIs optimisation in order to obtain a resilient PSS that takes into consideration controller’s parameters uncertainty as well. The effectiveness of the algorithm is shown for a single machine infinite bus power system.
International Journal of Systems, Control and Communications – Inderscience Publishers
Published: Jan 1, 2013
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