COORDINATED DESIGN OF THYRISTOR CONTROLLED SERIES CAPACITOR AND POWER SYSTEM STABILIZER CONTROLLERS USING VELOCITY UPDATE RELAXATION PARTICLE SWARM OPTIMIZATION FOR TWO-MACHINE POWER SYSTEM STABILITY

The thyristor controlled series capacitor (TCSC) and power system stabilizer (PSS) can combine with each other for further damping and stability; therefore, their coordination is very important. In this paper, we use TCSC and PSS simultaneous controllers to increase the stability and damping of the oscillations of the two-machine power system. Then we will optimize the parameters of TCSC and PSS simultaneous controllers by velocity update relaxation particle swarm optimization (VURPSO) algorithm to improve the efficiency of the controllers designed for stability and damping of the oscillations in the power system. VURPSO algorithm complements particle swarm optimization (PSO) algorithm.

[1]  U.P. Mhaskar,et al.  Power oscillation damping using FACTS devices: modal controllability, observability in local signals, and location of transfer function zeros , 2006, IEEE Transactions on Power Systems.

[2]  V. Mukherjee,et al.  Craziness based and Velocity Relaxed Swarm Optimized Intelligent PID Controlled AVR System , 2008, 2008 Joint International Conference on Power System Technology and IEEE Power India Conference.

[3]  Amin Safari,et al.  PSS and TCSC damping controller coordinated design using PSO in multi-machine power system , 2010 .

[4]  M. A. Abido,et al.  Optimal multiobjective design of robust power system stabilizers using genetic algorithms , 2003 .

[5]  K. Chandrasekaran,et al.  Application of Touring Ant colony Optimization technique for optimal power flow incorporating thyristor controlled series compensator , 2009, TENCON 2009 - 2009 IEEE Region 10 Conference.

[6]  G.K. Venayagamoorthy,et al.  Optimal design of power system stabilizers using a small population based PSO , 2006, 2006 IEEE Power Engineering Society General Meeting.

[7]  M. A. Abido.  Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization , 2002, IEEE Power Engineering Review.

[8]  Sidhartha Panda,et al.  ANFIS approach for TCSC-based controller design for power system stability improvement , 2010, 2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES.

[9]  Hamid Lesani,et al.  Performance of a ANFIS based PSS with tie line active power deviation feedback , 2009, 2009 2nd International Conference on Power Electronics and Intelligent Transportation System (PEITS).

[10]  V. Mukherjee,et al.  Velocity relaxed swarm intelligent tuning of fuzzy based power system stabilizer , 2006, 2006 IEEE Power India Conference.

[11]  Witold Kinsner,et al.  A study of particle swarm optimization for cognitive machines , 2010, 9th IEEE International Conference on Cognitive Informatics (ICCI'10).

[13]  Kiarash Ahi,et al.  Coordinate control of TCSC based GA controller with PSS for stability improving in single machine system , 2011, 2011 10th International Conference on Environment and Electrical Engineering.

[14]  Mohammed osman Hassan,et al.  Optimization of conventional power system stabilizer to improve dynamic stability , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[15]  Jafar Soltani,et al.  LOW FREQUENCY OSCILLATIONS DAMPING OF A POWER SYSTEM INCLUDING UNIFIED POWER FLOW CONTROLLER, BASED ON ADAPTIVE BACKSTEPPING CONTROL , 2013 .

[16]  Salman Mohagheghi,et al.  Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems , 2008, IEEE Transactions on Evolutionary Computation.

[17]  S. K. Joshi,et al.  Optimal placement of TCSC for Total Transfer Capability enhancement using particle swarm optimization , 2009 .

[18]  Michael N. Vrahatis,et al.  On the computation of all global minimizers through particle swarm optimization , 2004, IEEE Transactions on Evolutionary Computation.

[19]  Dan Olaru,et al.  LOSS BALANCING IN THREE-LEVEL ACTIVE-NEUTRAL-POINT-CLAMPED CONVERTER , 2009 .