Comprehensive review of trends in microgrid control

L Ahmethodzic, M Music - Renewable Energy Focus, 2021 - Elsevier
Highlights•This is fast-developing area, so review should be done often.•Microgrid control is
reviewed through different points of view.•Hierarchical organization review compares …

A comprehensive review of architecture, communication, and cybersecurity in networked microgrid systems

A Aghmadi, H Hussein, KH Polara, O Mohammed - Inventions, 2023 - mdpi.com
Networked microgrids (NMGs) are developing as a viable approach for integrating an
expanding number of distributed energy resources (DERs) while improving energy system …

Machine learning based classifiers for dynamic and transient disturbance classification in smart microgrid system

S Banerjee, PS Bhowmik - Measurement, 2025 - Elsevier
The smart microgrid system should have the ability to rapidly detect and classify every type
of disturbance that happens in the network to operate the protection scheme and maintain …

Optimized hybrid CNN-LSTM based islanding detection of solar-wind power system

B Vadlamudi - Electric Power Components and Systems, 2024 - Taylor & Francis
The rising prevalence of dispersed energy-generating resources like wind and solar power
systems degrades the quality of electricity. For the safety of maintenance staff and the …

Detection and location of fault in microgrid using discrete wavelet transform based technique

S Banerjee, PS Bhowmik… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
In this paper a new wavelet transform based method for detection and identification of fault
location has been proposed in microgrid with Distributed Generation (DG). Fault detection is …

A comparative study of decision tree-based learners to classify the switching transient disturbances in real microgrid network

S Banerjee, PS Bhowmik - Smart Science, 2025 - Taylor & Francis
Detection and classification of power system instabilities due to the raised transient effect
during switching operation of different kinds of load, capacitor bank, large sized induction …

Fault Diagnosis in Micro Grid Using Wavelet Transform in Combination with Machine Learning

C Saiprakash, SRK Joga, B Sowmya… - 2024 3rd Odisha …, 2024 - ieeexplore.ieee.org
Microgrids, which are defined by their decentralized methods of generating and distributing
electricity, have a vital role in improving the resilience and sustainability of energy systems …

Advanced in Islanding Detection and Fault Classification for Grid-Connected Distributed Generation using Deep Learning Neural Network

R Qatrunnada, N Novizon, M Hasanah… - … Jurnal Ilmiah Teknik …, 2025 - ejournal.unkhair.ac.id
Nowadays, the use of renewable energy is increasing, especially distributed power
generation (DG) connected to the power grid. There are several problems when DG is …

[引用][C] Fault Diagnosis in Distributed Power-Generation Systems Using Wavelet Based Artificial Neural Network Fault Diagnosis in Distributed Power-Generation …

J Chen, J Gao, Y Jin, P Zhu, Q Zhang