Multi-population differential evolutionary particle swarm optimization for distribution state estimation using correntropy in electric power systems

2017 ◽  
Author(s):  
Sohei Iwata ◽  
Yoshikazu Fukuyama ◽  
Toru Jintsugawa ◽  
Hisashi Fujimoto ◽  
Tetsuro Matsui
Keyword(s):  
Particle Swarm Optimization ◽  
Power Systems ◽  
State Estimation ◽  
Electric Power ◽  
Particle Swarm ◽  
Electric Power Systems ◽  
Swarm Optimization ◽  
Distribution State

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.

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