Regulated Two-Dimensional Deep Convolutional Neural Network-Based Power Quality Classifier for Microgrid

Regulated Two-Dimensional Deep Convolutional Neural Network-Based Power Quality Classifier for Microgrid

Due to the penetration of renewable energy and load variation in the microgrid, the diagnosis of power quality disturbances (PQD) is important to the operation stability and safety of the microgrid system. Once the power imbalance is present between the generation and the load demand, the fundamenta...

Full description

Bibliographic Details
Main Authors: Cheng-I Chen, Sunneng Sandino Berutu, Yeong-Chin Chen, Hao-Cheng Yang, Chung-Hsien Chen
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Energies
Subjects:
power quality disturbances
signal synchronization
regulated two-dimensional deep convolutional neural network
microgrid
power quality classifier
IEEE Std. 1159
Online Access:https://www.mdpi.com/1996-1073/15/7/2532

Internet

https://www.mdpi.com/1996-1073/15/7/2532

Similar Items