Stabilization of Multi-Machine Power Systems Using Craziness Based Particle Swarm Optimization and Harmony Search Algorithms

摘要

Inter-area oscillations are critical to optimal power flow and stability in a power system. PSSs are effective damping devices, as they provide auxiliary control signals to the excitation systems of generators. The proper selection of PSS parameters to accommodate variations in the power system dynamics is important and a challenging task particularly when several PSSs are involved. This paper demonstrates using of both CRPSO and HS algorithms for the simultaneous stabilization of multi-machine power system via single-setting power system stabilizers. The proposed approach employs algorithms to search for optimal setting of PSS parameters that shift the system eigenvalues associated with the electromechanical modes to the left in the s-plane. In this paper for multi-machine power systems, the participation factors (PFs) are used to design of PSS optimum location, and then the eigenvalue analysis is applied. Simulation results carried out by MA TLAB/SIMULINK show the effectiveness and robustness of the proposed PSSs to damp out the local modes of oscillations.