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

Abstract

The tuning of PSS parameters for satisfactory power system response over a wide range of operating conditions requires an efficient robust optimization technique. This paper presents a novel concept of integrating the Taguchi robust design principle with particle swarm optimization (PSO) for the PSS design. The objective is to build an intrinsic robustness in the design of PSS over a wide range of power system operating conditions. The proposed approach employs signal to noise ratio and orthogonal array concepts of Taguchi design to determine the robust optimal setting of PSS parameters using PSO. The robustness of the PSS designed is tested through No-Way analysis of variance. Further, the effectiveness of the robust PSS is illustrated through time-domain simulations as it is applied to a single machine infinite bus system under wide range of loading conditions.

Particle swarm optimization and Taguchi algorithm-based power system stabilizer-effect of light loading condition

“…The Taguchi technique was created by Genichi Taguchi. His method entails conducting experiments to see how different parameters affect the variance and mean of a process evaluation as well as the performance behavior that characterizes how a process works [6]. Taguchi proposes using orthogonal arrays (OA) to organize the parameters impacting the process and the levels at which they must be adjusted in his simulation experiment design.…”

“…The minimization of objective function is solved by PSO [6] to determine the PSS parameters. -Step 2: Selecting orthogonal arrays for noise and control factors.…”

“…Karnik et al [6] presented on how to tune PSS parameters for a stable response of the power system in full operating regime. His calls for an efficient optimization algorithm and they developed a methodology…”

Estabilizador de Sistemas de Potencia usando Control Predictivo basado en Modelo

“…Optimizar el amortiguamiento de las oscilaciones de baja frecuencia es un problema crítico en los SEP, para lo cual se utilizan estabilizadores de sistemas de potencia (Power System Stabilizers, PSS) para amortiguar estas oscilaciones y mejorar la estabilidad del sistema. En (Karnik et al, 2009) se reporta la sintonización de parámetros del PSS, para lograr una respuesta satisfactoria del sistema de potencia en una amplia gama de condiciones de operación, utilizando una técnica de optimización robusta y eficiente, esto es, se presenta un novedoso concepto de integrar el principio de diseño Taguchi robusto con optimización por enjambre de partículas (Particle Swarm Optimization, PSO) para el diseño del PSS. El enfoque propuesto emplea la relación señal/ruido y conceptos de matriz ortogonal del diseño de Taguchi, para determinar el ajuste óptimo robusto de los parámetros del PSS usando PSO.…”

Agent-based modelling and Swarm Intelligence in systems engineering

“…Scientists have applied these swarm intelligence principles mainly in optimization [23,24], in control of robots [47,48], for finding optimal routes [79], scheduling [17], power system controller designs [59], and image [15] and data analysis [77].…”