Genetic algorithm based simultaneous eigenvalue placement of power systems

Abstract EN

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 eigenvalue-based 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 j-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.