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
Divisions: College Of Computer Sciences and Engineering > Systems Engineering Dept
Depositing User: SHAIKH ARIFUSALAM
Date Deposited: 14 Jun 2008 13:35
Last Modified: 01 Nov 2019 16:44
URI: http://eprints.kfupm.edu.sa/id/eprint/2557