The main objective of this paper is to investigate the enhancement of power system stability via coordinated tuning of Power System Stabilizers (PSSs) in a multi-machine power system. The design problem of the proposed controllers is formulated as an optimization problem. Chaotic catfish particle swarm optimization (C-Catfish PSO) algorithm is used to minimize the ITAE objective function. The p...

A systematic procedure for modeling, simulation and optimally tuning the parameters of a Static Synchronous Series Compensator (SSSC) controller in a multi-machine system, for power system stability enhancement is presented in this paper. For the simulation purpose, the model of multi-machine power system with SSSC controller is developed in MATLAB/SIMULINK using Sim Power System (SPS) blockset...

This paper focuses on multi-objective designing of multi-machine Thyristor Controlled Series Compensator (TCSC) using Strength Pareto Evolutionary Algorithm (SPEA). The TCSC parameters designing problem is converted to an optimization problem with the multi-objective function including the desired damping factor and the desired damping ratio of the power system modes, which is solved by a SPEA ...

This study proposed a novel algorithm to tune and coordinate power system stabilizers (PSSs) in multi-machine power systems. For a multi-machine power system, the coordination of the PSS parameters is generally formulated as an objective function with constraints including the damping ratio and damping factor. A novel hybrid particle swarm optimization (PSO) with the passive congregation algori...

In this paper, damping power system oscillations is presented using the Elitist differential search algorithm (Elitist-DSA) in a multi-machine system. The tuning of power system stabilizers (PSSs) are presumed as the complex optimization problem for the security of power system. The linearized model of power system is transformed into a multimodal objective function and proposed algorithm is ap...