Design of Genetic Algorithm Based Power System Damping Controller

This paper presents a Genetic based optimization technique towards the optimum design of power system damping controller in a multi-machine power system. In this approach, GA incorporates an objective function, which is based on integral of squared time squared error (ISTSE) technique. The parameters of the stabilizers are tuned through simulation of non-linear model of the power system using Genetic Algorithm (GA). The dynamic performance of the system has been investigated under small disturbances as well as large perturbation. The GA based PSS is compared with the CPSS optimized using phase compensation. Simulation studies reveal that the GA based PSS enhances system dynamic performance over a wide range of operating conditions and effective in damping local and interarea modes of oscillations. Key-Words: - Dynamic stability, Power system stabilizer, Genetic algorithms, Genetic algorithm based power system stabilizer, Power system control

[1]  Graham Rogers,et al.  Power System Oscillations , 1999 .

[2]  P. Kundur,et al.  Power system stability and control , 1994 .

[3]  Maamar Bettayeb,et al.  Simultaneous stabilisation of power systems using genetic algorithms , 1997 .

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

[5]  M.N.S. Swamy,et al.  Design of two-dimensional recursive filters using genetic algorithms , 2003 .

[6]  N. Mastorakis,et al.  Stability of multidimensional systems using genetic algorithms , 2003 .

[7]  Om P. Malik,et al.  An artificial neural network based adaptive power system stabilizer , 1993 .

[8]  Kankar Bhattacharya,et al.  Tuning of power system stabilizers in multi-machine systems using ise technique , 1998 .

[9]  Y.-Y. Hsu,et al.  Design of fuzzy power system stabilisers for multimachine power systems , 1990 .

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

[11]  M. A. Abido,et al.  Simultaneous stabilization of multimachine power systems via genetic algorithms , 1999, IEEE Transactions on Power Systems.

[12]  M. A. Abido,et al.  Hybridizing rule-based power system stabilizers with genetic algorithms , 1999 .

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

[14]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[15]  N. Mastorakis,et al.  A genetic algorithm approach to the problem of factorization of general multidimensional polynomials , 2003 .

[16]  E. Larsen,et al.  IEEE Transactions on Power Apparatus and Systems, Vol. PAS-100, No. 6 June 1981 APPLYING POWER SYSTEM STABILIZERS PART I: GENERAL CONCEPTS , 2006 .

[17]  Om P. Malik,et al.  Self-tuning stabiliser for a multimachine power system , 1986 .

[18]  P. Kundur,et al.  Application of Power System Stabilizers for Enhancement of Overall System Stability , 1989, IEEE Power Engineering Review.

[19]  D. E. Goldberg,et al.  Genetic Algorithms in Search , 1989 .