Machine learning driven smart electric power systems: Current trends and new perspectives
MS Ibrahim, W Dong, Q Yang - Applied Energy, 2020 - Elsevier
The current power systems are undergoing a rapid transition towards their more active,
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
flexible, and intelligent counterpart smart grid, which brings about tremendous challenges in …
A review on application of artificial intelligence techniques in microgrids
E Mohammadi, M Alizadeh… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
A microgrid can be formed by the integration of different components such as loads,
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
renewable/conventional units, and energy storage systems in a local area. Microgrids with …
Intelligent fault detection scheme for microgrids with wavelet-based deep neural networks
Fault detection is essential in microgrid control and operation, as it enables the system to
perform fast fault isolation and recovery. The adoption of inverter-interfaced distributed …
perform fast fault isolation and recovery. The adoption of inverter-interfaced distributed …
Challenges, advances and future trends in AC microgrid protection: With a focus on intelligent learning methods
Increasing power demand, aging distribution systems and concerns towards greenhouse
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
gas emissions have resulted in the increased occurrence of distributed generation (DG) …
Fault classification in power system distribution network integrated with distributed generators using CNN
Fault detection is the critical stage of the relaying system and their successful completion in
minimum time is expected for fault clearance. With the increasing usage of distributed …
minimum time is expected for fault clearance. With the increasing usage of distributed …
Fault management in DC microgrids: A review of challenges, countermeasures, and future research trends
The significant benefits of DC microgrids have instigated extensive efforts to be an
alternative network as compared to conventional AC power networks. Although their …
alternative network as compared to conventional AC power networks. Although their …
Distributed generation hybrid AC/DC microgrid protection: A critical review on issues, strategies, and future directions
The integration of distributed energy resources (DERs) with conventional systems emerges
as an intelligent solution for providing uninterrupted and secure power even at times of high …
as an intelligent solution for providing uninterrupted and secure power even at times of high …
A review of machine learning applications in IoT-integrated modern power systems
A review of machine learning applications in IoT-integrated modern power systems -
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A newly-designed fault diagnostic method for transformers via improved empirical wavelet transform and kernel extreme learning machine
S Lu, W Gao, C Hong, Y Sun - Advanced Engineering Informatics, 2021 - Elsevier
In order to solve the problems of unsatisfactory diagnosis performance and unstable model
of conventional fault diagnosis methods for transformers, a new approach based on …
of conventional fault diagnosis methods for transformers, a new approach based on …
Intelligent anomaly identification in cyber-physical inverter-based systems
Modern cyber-physical systems have become more autonomous and distributed with the
inclusion of advanced control architectures and communication networks. Power electronics …
inclusion of advanced control architectures and communication networks. Power electronics …