Power System Stability Enhancement using SVC with Modified PSO Tuned PID Controller

modified particle swarm optimization (MPSO) algorithm is utilized in this paper to find out the optimum design of Proportional-Integral-Derivative (PID) controller parameters that improves the stability of a Single-Machine Infinite-Bus (SMIB) system with Static VAR Compensator (SVC). The performance of the power system under different loading conditions is investigated by using three tuning methods. Namely, Ziegler-Nichols-PID, PSO-PID, and MPSO-PID.The simulation results show that the proposed MPSO-PID controlling technique has improved the system response as compared to the two other techniques, that because it gives minimum rise time and minimum settling time with no overshoot and approximately zero steady-state error. All simulations are carried out in MATLAB R2010a software environment.

[1]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[2]  Michael N. Vrahatis,et al.  Particle Swarm Optimization and Intelligence: Advances and Applications , 2010 .

[3]  M. Clerc,et al.  The swarm and the queen: towards a deterministic and adaptive particle swarm optimization , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).

[4]  G. Srinivasulu Reddy,et al.  EFFECTIVE WAY TO DAMPING POWER OSCILLATIONS USING STATIC VAR COMPENSATOR WITH FUZZY LOGIC CONTROLLER , 2013 .

[5]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[6]  Mohammad Asif Zaman,et al.  Phased Array Synthesis Using Modified Particle Swarm Optimization , 2011 .

[7]  A. Mohanty,et al.  Power System Stability Improvement Using FACTS Devices , 2011 .

[8]  Habibur Rahman,et al.  Stability Improvement of Power System By Using SVC With PID Controller , 2012 .

[9]  M. Hoagland,et al.  Feedback Systems An Introduction for Scientists and Engineers SECOND EDITION , 2015 .

[10]  Saman K. Halgamuge,et al.  Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients , 2004, IEEE Transactions on Evolutionary Computation.

[11]  Karl Johan Åström,et al.  PID Controllers: Theory, Design, and Tuning , 1995 .

[12]  Naresh K. Sinha,et al.  Control Systems , 1986 .

[13]  Yun Li,et al.  PID control system analysis, design, and technology , 2005, IEEE Transactions on Control Systems Technology.

[14]  Zhou Xuesong STUDY ON NONLINEAR SVC CONTROL FOR IMPROVING POWER SYSTEM STABILITY , 2003 .

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

[16]  Marco Furini,et al.  International Journal of Computer and Applications , 2010 .

[17]  A. E. Hammad,et al.  Analysis of Power System Stability Enhancement by Static var Compensators , 1986, IEEE Power Engineering Review.

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

[19]  R. Stengel,et al.  CONTROL systems. , 1952, Hospitals.