A design for robust power system stabilizer by means of H∞ control and particle swarm optimization method

Abstract

SUMMARYThis paper proposes two types of PSS design methods that take into account robustness for comparably large power systems. The first one is a design method based on H ∞ control theory and the second one is a parameter determination method for a standard PSS by using Particle Swarm Optimization (PSO). In order to deal with largescale systems, a reduced model is developed to get the target system which preserves major oscillation modes only. The major oscillation modes are selected by using the residue concept, and the PSS is designed based on the target system. In order to verify effectiveness, the proposed methods are compared with the other previously proposed method based on a Genetic Algorithm (GA) through many numerical simulations.

Robust Design of Power System Stabilizer Using Taguchi Technique and Particle Swarm Optimization

“…Here, for each particle defined by K pss , T 1 and T 3 , nine objective function values (J op ) for different operating points as per L 9 OA are evaluated from the linearized SMIB system using equation (2). Thereafter, the corresponding particle fitness in terms of S/N ratio is computed using equation (4). Such solutions are called particles [12].…”

“…Several studies employed H ∞ techniques for the robust PSS design [2][3][4]. However, H ∞ synthesis leads to a higher order controller which is difficult to implement.…”