Parameter estimation based on novel enhanced self‐learning particle swarm optimization algorithm with Levy flight for PMSG

Parameter estimation based on novel enhanced self‐learning particle swarm optimization algorithm with Levy flight for PMSG

Abstract A novel parameter estimation method is proposed for the permanent magnet synchronous generator (PMSG), which is implemented by an enhanced self‐learning particle swarm optimization algorithm with Levy flight (SLPSO), and the problem of lower parameter estimation precision of standard PSO is...

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Bibliographic Details
Main Authors: Wan Feng, Mengdi Li, Wenjuan Zhang, Haixia Zhang
Format: Article
Language:English
Published: Wiley 2023-03-01
Series:IET Generation, Transmission & Distribution
Subjects:
local optimization
memory tempering annealing
particle swarm optimization
permanent magnet synchronous generator
self‐learning dense fleeing strategy
Online Access:https://doi.org/10.1049/gtd2.12720

Internet

https://doi.org/10.1049/gtd2.12720

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