Optimal des'ign of Power System Stabilizers Using Particle Swarm Opt'imization

2002 ◽  
Vol 22 (7) ◽  
pp. 53-53 ◽  
Author(s):  
M. A. Abido
Keyword(s):  
Power System ◽  
Particle Swarm ◽  
Power System Stabilizers

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

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2093 ◽  
Author(s):  
Humberto Verdejo ◽  
Victor Pino ◽  
Wolfgang Kliemann ◽  
Cristhian Becker ◽  
José Delpiano
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
Power System ◽  
Electric Power ◽  
Particle Swarm ◽  
Electric Power Systems ◽  
Simulation Software ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Wide Range

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.

Optimal Tuning and Placement of Power System Stabilizers Based Eigenvalue

2016 ◽  
Vol 3 (2) ◽  
pp. 273
Author(s):  
Lawrence Bibaya ◽  
Chongru Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Modal Analysis ◽  
Particle Swarm ◽  
Optimal Location ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Local Modes ◽  
Optimal Tuning ◽  
Participation Factor

<p>In this paper, an eigenvalue assignment based Particle Swarm Optimization and Participation Factor for Optimal tuning and placement of power system stabilizers is proposed. The proposed approach presents a two-step methodology to find optimal location and parameters of PSS. The Participation Factor method is computed using the modal analysis toolbox from DIgSILENT, and used to determine the power system stabilizers optimal location. A Particle Swarm Optimization algorithm is written in MATLAB to search the power system stabilizers optimal parameters. Two eigenvalue-based objective functions to ensure a maximum damping of the inter-area modes as well as of the local modes by assigning them in a robust stability area are considered. The performance of the proposed approach is tested and examined on the four-machine two-area power system. Linear modal analysis and non-linear time domain simulations show the robustness of the proposed approach.</p>

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