Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems

The application of artificial intelligence-based techniques has covered a wide range of applications related to electric power systems (EPS). Particularly, a metaheuristic technique known as Particle Swarm Optimization (PSO) has been chosen for the tuning of parameters for Power System Stabilizers (...

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Main Authors: Humberto Verdejo, Victor Pino, Wolfgang Kliemann, Cristhian Becker, José Delpiano
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/8/2093
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author Humberto Verdejo
Victor Pino
Wolfgang Kliemann
Cristhian Becker
José Delpiano
author_facet Humberto Verdejo
Victor Pino
Wolfgang Kliemann
Cristhian Becker
José Delpiano
author_sort Humberto Verdejo
collection DOAJ
description The application of artificial intelligence-based techniques has covered a wide range of applications related to electric power systems (EPS). Particularly, a metaheuristic technique known as Particle Swarm Optimization (PSO) has been chosen for the tuning of parameters for Power System Stabilizers (PSS) with success for relatively small systems. This article proposes a tuning methodology for PSSs based on the use of PSO that works for systems with ten or even more machines. Our new methodology was implemented using the source language of the commercial simulation software DigSilent PowerFactory. Therefore, it can be translated into current practice directly. Our methodology was applied to different test systems showing the effectiveness and potential of the proposed technique.
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spelling doaj.art-626157fc0c714039b7c7c5b59bba8fa32023-11-19T22:25:20ZengMDPI AGEnergies1996-10732020-04-01138209310.3390/en13082093Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power SystemsHumberto Verdejo0Victor Pino1Wolfgang Kliemann2Cristhian Becker3José Delpiano4Department of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, ChileDepartment of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, ChileDepartment of Mathematics, Iowa State University, Ames, IA 50011, USADepartment of Electrical Engineering, Universidad de Santiago de Chile, Santiago 9170124, ChileSchool of Engineering and Applied Sciences, Universidad de los Andes, Santiago 7620001, ChileThe application of artificial intelligence-based techniques has covered a wide range of applications related to electric power systems (EPS). Particularly, a metaheuristic technique known as Particle Swarm Optimization (PSO) has been chosen for the tuning of parameters for Power System Stabilizers (PSS) with success for relatively small systems. This article proposes a tuning methodology for PSSs based on the use of PSO that works for systems with ten or even more machines. Our new methodology was implemented using the source language of the commercial simulation software DigSilent PowerFactory. Therefore, it can be translated into current practice directly. Our methodology was applied to different test systems showing the effectiveness and potential of the proposed technique.https://www.mdpi.com/1996-1073/13/8/2093power systempower system stabilizerparticle swarm optimizationmultimachine system
spellingShingle Humberto Verdejo
Victor Pino
Wolfgang Kliemann
Cristhian Becker
José Delpiano
Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
Energies
power system
power system stabilizer
particle swarm optimization
multimachine system
title Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
title_full Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
title_fullStr Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
title_full_unstemmed Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
title_short Implementation of Particle Swarm Optimization (PSO) Algorithm for Tuning of Power System Stabilizers in Multimachine Electric Power Systems
title_sort implementation of particle swarm optimization pso algorithm for tuning of power system stabilizers in multimachine electric power systems
topic power system
power system stabilizer
particle swarm optimization
multimachine system
url https://www.mdpi.com/1996-1073/13/8/2093
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