A Novel Microgrid Islanding Detection Algorithm Based on a Multi-Feature Improved LSTM

A Novel Microgrid Islanding Detection Algorithm Based on a Multi-Feature Improved LSTM

Islanding detection is one of the conditions necessary for the safe operation of the microgrid. The detection technology should provide the ability to differentiate islanded operations from power grid disturbances effectively. Given that it is difficult to set the fault threshold using the passive d...

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Bibliographic Details
Main Authors: Huang, Q. (Author), Xia, Y. (Author), Xiong, X. (Author), Yu, F. (Author), Zhou, Q. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
attention mechanism
Attention mechanisms
Brain
Condition
Discrete Fourier transforms
Distributed power generation
Electric fault currents
Electric power transmission networks
empirical mode decomposition
Empirical Mode Decomposition
Feature extraction
Fourier series
islanding detection
Islanding detection
Long short-term memory
long short-term memory network
Long short-term memory network
MATLAB
Memory network
Microgrid
multi-feature
Multifeatures
Power quality
Sliding Window
sliding-window discrete Fourier transform
Sliding-window discrete fourier transform
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