Robust Design of PID Controller for Power System Stabilization by Using Real Coded Genetic Algorithm

A real coded genetic algorithm based PID controller (RCGAPID) is presented in this paper to improve power system dynamic stability. The proposed RCGAPID parameters are optimized using real coded genetic algorithm (RCGA). The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal PID controller parameters. Integral absolute error (IAE) and integral squared error (ISE) performance indexes have been used for the determination of the PID controller parameters in power systems stabilization. The performance of the proposed RCGAPID under various loading and small disturbance conditions are analyzed and compared in single machine infinite bus (SMIB) power system. Simulation results show the effectiveness and robustness of proposed controllers to improve the stability performance of power system. Copyright © 2010 Praise Worthy Prize S.r.l. - All rights reserved.

[1]  Mohammad Ali Abido,et al.  A GENETIC-BASED POWER SYSTEM STABILIZER , 1998 .

[2]  M. Ataei,et al.  An Auto-Tuning Fuzzy Logic PSS Design under Multi-operating Conditions Using Real-Coded Genetic Algorithm , 2009 .

[3]  A. B. Raju,et al.  Robust Design of Power System Stabilizer Using Taguchi Technique and Particle Swarm Optimization , 2009, 2009 Second International Conference on Emerging Trends in Engineering & Technology.

[4]  Mohammad Ali Abido.  Simulated annealing based approach to PSS and FACTS based stabilizer tuning , 2000 .

[5]  E.A. Feilat.  Fast estimation of synchronizing and damping torque coefficients using an adaptive neural network , 2007, 2007 42nd International Universities Power Engineering Conference.

[6]  Murat Uzam,et al.  Economic dispatch solution using a genetic algorithm based on arithmetic crossover , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[7]  M. Azzam,et al.  Design of PID controller for power system stabilization using particle swarm optimization , 2009, 2009 International Conference on Electric Power and Energy Conversion Systems, (EPECS).

[8]  Mohammad Ali Abido,et al.  Eigenvalue assignments in multimachine power systems using tabu search algorithm , 2002, Comput. Electr. Eng..

[9]  Manisha Dubey,et al.  Design of Genetic-Algorithm Based Robust Power System Stabilizer , 2008 .

[10]  Boonruang Marungsri,et al.  Stability Enhancement for Multi-machine Power System by Optimal PID Tuning of Power System Stabilizer using Particle Swarm Optimization , 2008 .

[11]  A. S. Al-Hinai,et al.  Dynamic stability enhancement using Particle Swarm Optimization Power System Stabilizer , 2009, 2009 2nd International Conference on Adaptive Science & Technology (ICAST).

[12]  M. A. Abido,et al.  Parameter optimization of multimachine power system stabilizers using genetic local search , 2001 .

[13]  J. Nanda,et al.  Multi-machine power system stabilizer design by rule based bacteria foraging , 2007 .

[14]  Manisha Dubey,et al.  Tunning of Fuzzy Logic Power System Stabilizers using Genetic Algorithm in Multimachine Power System , 2009 .

[15]  Narayana Prasad Padhy,et al.  Comparison of Particle Swarm Optimization and Genetic Algorithm for TCSC-based Controller Design , 2007 .

[16]  A. Jeevanandham,et al.  Robust Design of Decentralized Power System Stabilizers using Meta-heuristic Optimization Techniques for Multimachine Systems , 2009 .

[17]  Ahmed Allali,et al.  ECONOMIC DISPATCH SOLUTION USING A REAL-CODED GENETIC ALGORITHM , 2005 .

[18]  Azah Mohamed,et al.  Application of PSS and FACTS Devices for Intensification of Power System Stability , 2010 .

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