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    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems

    Genetic Algorithm Based Simultaneous Eigenvalue Placement Of Power Systems. Arabian Journal for Science and Engineering, 25. pp. 63-77.

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    Abstract

    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.

    Item Type: Article
    Subjects: Systems
    Electrical
    Department: College of Computing and Mathematics > lndustrial and Systems Engineering
    Depositing User: SHAIKH ARIFUSALAM
    Date Deposited: 14 Jun 2008 10:35
    Last Modified: 01 Nov 2019 13:44
    URI: http://eprints.kfupm.edu.sa/id/eprint/2557