Coordinated Design of TCSC Controller and PSS Employing Particle Swarm Optimization Technique

This paper investigates the application of Particle Swarm Optimization (PSO) technique for coordinated design of a Power System Stabilizer (PSS) and a Thyristor Controlled Series Compensator (TCSC)-based controller to enhance the power system stability. The design problem of PSS and TCSC-based controllers is formulated as a time domain based optimization problem. PSO algorithm is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. To compare the capability of PSS and TCSC-based controller, both are designed independently first and then in a coordinated manner for individual and coordinated application. The proposed controllers are tested on a weakly connected power system. The eigenvalue analysis and nonlinear simulation results are presented to show the effectiveness of the coordinated design approach over individual design. The simulation results show that the proposed controllers are effective in damping low frequency oscillations resulting from various small disturbances like change in mechanical power input and reference voltage setting. Keywords—Particle swarm optimization, Phillips-Heffron model, power system stability, PSS, TCSC.

[1]  M. A. Abido,et al.  Pole placement technique for PSS and TCSC-based stabilizer design using simulated annealing , 2000 .

[2]  H. F. Wang,et al.  A unified model for the analysis of FACTS devices in damping power system oscillations. I. Single-machine infinite-bus power systems , 1997 .

[3]  Pouyan Pourbeik,et al.  Simultaneous coordination of power system stabilizers and FACTS device stabilizers in a multimachine power system for enhancing dynamic performance , 1998 .

[4]  K R Padiyar,et al.  Power System Dynamics , 2002 .

[5]  Maurice Clerc,et al.  The particle swarm - explosion, stability, and convergence in a multidimensional complex space , 2002, IEEE Trans. Evol. Comput..

[6]  J.J. Shea,et al.  Understanding FACTS-concepts and technology of flexible AC transmission systems [Book Review] , 2002, IEEE Electrical Insulation Magazine.

[7]  K. R. Padiyar,et al.  Power system dynamics : stability and control , 1996 .

[8]  Joe H. Chow,et al.  Power system reduction to simplify the design of damping controllers for interarea oscillations , 1996 .

[9]  Mauro Birattari,et al.  Swarm Intelligence , 2012, Lecture Notes in Computer Science.

[10]  Claudio A. Canizares,et al.  A study of TCSC controller design for power system stability improvement , 2003 .

[11]  Lingling Fan,et al.  Selection and design of a TCSC control signal in damping power system inter-area oscillations for multiple operating conditions , 2002 .

[12]  George C. Verghese,et al.  Phasor dynamics of thyristor-controlled series capacitor systems , 1997 .

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

[14]  Zwe-Lee Gaing A particle swarm optimization approach for optimum design of PID controller in AVR system , 2004, IEEE Transactions on Energy Conversion.