Abdel Magid, Y.L. and Bettayeb, M. and Selim, S.Z. Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems. Arabian Journal for Science and Engineering, 25. pp. 63-77.
This paper demonstrates the use of genetic algorithms to design a single output feedback control law for the simultaneous eigenvalue placement of a power system running over a wide range of operating conditions. The task of selecting the output feedback gains is converted to a simple optimization problem with an eigenvaluebased objective function, which is solved by a genetic algorithm. An objective function is presented allowing the selection of the output feedback gains to place the closed-loop eigenvalues in the left-hand side of a vertical line in the complex s-plane while shifting a specific mode of oscillation to a vertical strip and with bounds on the damping ratio. Simultaneous placement of the closed-loop eigenvalues of the power system operating at different loading conditions, using a single output feedback stabilizer, is demonstrated. The effectiveness of the output feedback stabilizer in enhancing the dynamic stability of power systems is verified through eigenvalue analysis and simulation results.
|Divisions:||College Of Computer Sciences and Engineering > Systems Engineering Dept|
|Creators:||Abdel Magid, Y.L. and Bettayeb, M. and Selim, S.Z.|
|Email:||UNSPECIFIED, UNSPECIFIED, firstname.lastname@example.org|
|Deposited By:||SHAIKH ARIFUSALAM|
|Deposited On:||14 Jun 2008 13:35|
|Last Modified:||12 Apr 2011 13:12|
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