Optimal robust adaptive fuzzy synergetic power system stabilizer design

Abstract A new particle swarm optimized robust indirect adaptive power system stabilizer is developed based on recently developed synergetic control methodology. Fuzzy systems are used in an adaptive scheme to approximate the system using a nonlinear model while synergetic control guarantees robustness and the use of a chatter free continuous control law which makes the controller easy to implement. In addition the controller parameters are optimized using PSO approach. Simulation of severe operating conditions of a power system is conducted to validate the effectiveness of the proposed approach while stability is guaranteed via Lyapunov synthesis.

[1]  J. C. Agee,et al.  Comparison of power system stabilizers for damping local mode oscillations , 1993 .

[2]  R.A. Dougal,et al.  Synergetic control of power converters for pulse current charging of advanced batteries from a fuel cell power source , 2004, IEEE Transactions on Power Electronics.

[3]  Bijnan Bandyopadhyay,et al.  Design of power system stabilizer for single machine system using robust fast output sampling feedback technique , 2003 .

[4]  Antonello Monti,et al.  Synergetic Control For Power Electronics Applications: A Comparison With The Sliding Mode Approach , 2004, J. Circuits Syst. Comput..

[5]  F. Ponci,et al.  Synergetic synthesis of DC-DC boost converter controllers: theory and experimental analysis , 2002, APEC. Seventeenth Annual IEEE Applied Power Electronics Conference and Exposition (Cat. No.02CH37335).

[6]  B. Kosko.  Fuzzy systems as universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[7]  A. Simoes Costa,et al.  Power system stabilizer design via structurally constrained optimal control , 1995 .

[8]  R. Dougal,et al.  Current Distribution Control Design for Paralleled DC/DC Converters Using Synergetic Control Theory , 2007, 2007 IEEE Power Electronics Specialists Conference.

[9]  J. Mendel.  Fuzzy logic systems for engineering: a tutorial , 1995, Proc. IEEE.

[10]  E. Santi,et al.  Synergetic control for m-parallel connected DC-DC buck converters , 2004, 2004 IEEE 35th Annual Power Electronics Specialists Conference (IEEE Cat. No.04CH37551).

[11]  Abdel-Latif Elshafei,et al.  Robust adaptive fuzzy logic power system stabilizer , 2009, Expert Syst. Appl..

[12]  Charles Concordia,et al.  Concepts of Synchronous Machine Stability as Affected by Excitation Control , 1969 .

[13]  Om P. Malik,et al.  A nonlinear variable structure stabilizer for power system stability , 1994 .

[14]  Akhtar Kalam,et al.  An indirect adaptive fuzzy-logic power system stabiliser , 2002 .

[15]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[16]  Akhtar Kalam,et al.  A rule-based fuzzy power system stabilizer tuned by a neural network , 1999 .

[17]  A. Elshafei,et al.  Power system stabilization via adaptive fuzzy-logic control , 1997, Proceedings of 12th IEEE International Symposium on Intelligent Control.

[18]  William A. Crossley,et al.  Nonlinear Synergetic Optimal Controllers , 2007 .

[19]  L. Wang,et al.  Fuzzy systems are universal approximators , 1992, [1992 Proceedings] IEEE International Conference on Fuzzy Systems.

[20]  H. Happ.  Power system control and stability , 1979, Proceedings of the IEEE.

[21]  Zhenhua Jiang,et al.  Design of a nonlinear power system stabilizer using synergetic control theory , 2009 .

[22]  A. Monti,et al.  Synergetic control for DC-DC boost converter: implementation options , 2002, Conference Record of the 2002 IEEE Industry Applications Conference. 37th IAS Annual Meeting (Cat. No.02CH37344).

[23]  M. L. Kothari,et al.  Radial basis function (RBF) network adaptive power system stabilizer , 2000 .

[24]  Li-Xin Wang.  Stable adaptive fuzzy control of nonlinear systems , 1993, IEEE Trans. Fuzzy Syst..

[25]  M. A. Abido,et al.  Robust coordinated design of excitation and TCSC-based stabilizers using genetic algorithms , 2004 .