Optimal feature selection for islanding detection in distributed generation

Optimal feature selection for islanding detection in distributed generation

The integration of the distributed power generation into a distribution system comes with several system problems. One of the teething problems related to system protection is islanding detection. Various anti-islanding techniques based on feature evaluation were proposed in the recent past. However...

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Bibliographic Details
Main Authors: Sheetal Chandak, Manohar Mishra, Subrat Nayak, Pravat Kumar Rout
Format: Article
Language:English
Published: Wiley 2018-10-01
Series:IET Smart Grid
Subjects:
pattern classification
feature extraction
distributed power generation
power distribution faults
learning (artificial intelligence)
IEEE standards
invertors
evolutionary computation
power engineering computing
multiobjective differential evolution algorithm
kernel-based extreme learning machine classifier
optimum features
standard objective functions
designed IEEE 13 bus system
IEEE 1547 standards
selected optimal features
islanded condition
distributed generators
optimal feature selection
islanding detection
distributed generation
distribution system
teething problems
system protection
anti-islanding techniques
feature evaluation
particular detection feature
wrapper feature selection approach
Online Access:https://digital-library.theiet.org/content/journals/10.1049/iet-stg.2018.0021

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