12 March 2025
Energies | Highly Cited Papers in 2024 in the Section “Smart Grids and Microgrids”

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Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.
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Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Original Submission Date Received: .
1. “A Blockchain-Based Scalability Solution with Microgrids Peer-to-Peer Trade”
by Ameni Boumaiza
Energies 2024, 17(4), 915; https://doi.org/10.3390/en17040915
Available online: https://www.mdpi.com/1996-1073/17/4/915
2. “Networked Microgrids: A Review on Configuration, Operation, and Control Strategies”
by Mohammad Javad Bordbari and Fuzhan Nasiri
Energies 2024, 17(3), 715; https://doi.org/10.3390/en17030715
Available online: https://www.mdpi.com/1996-1073/17/3/715
3. “A Comprehensive Review on Voltage Stability in Wind-Integrated Power Systems”
by Farhan Malik, Muhammad Khan, Tauheed Rahman, Muhammad Ehtisham, Muhammad Faheem, Zunaib Haider and Matti Lehtonen
Energies 2024, 17(3), 644; https://doi.org/10.3390/en17030644
Available online: https://www.mdpi.com/1996-1073/17/3/644
4. “Particle Swarm Optimization for an Optimal Hybrid Renewable Energy Microgrid System under Uncertainty”
by Manduleli Alfred Mquqwana and Senthil Krishnamurthy
Energies 2024, 17(2), 422; https://doi.org/10.3390/en17020422
Available online: https://www.mdpi.com/1996-1073/17/2/422
5. “Methodology for the Detection and Classification of Power Quality Disturbances Using CWT and CNN”
by Eduardo Perez-Anaya, Arturo Yosimar Jaen-Cuellar, David Alejandro Elvira-Ortiz, Rene de Jesus Romero-Troncoso and Juan Jose Saucedo-Dorantes
Energies 2024, 17(4), 852; https://doi.org/10.3390/en17040852
Available online: https://www.mdpi.com/1996-1073/17/4/852
6. “Load Margin Assessment of Power Systems Using Physics-Informed Neural Network with Optimized Parameters”
by Murilo Eduardo Casteroba Bento
Energies 2024, 17(7), 1562; https://doi.org/10.3390/en17071562
Available online: https://www.mdpi.com/1996-1073/17/7/1562
7. “Assessment of Regulatory and Market Challenges in the Economic Feasibility of a Nanogrid: A Brazilian Case”
by Fernando A. Assis, Francisco C. R. Coelho, José Filho C. Castro, Antonio R. Donadon, Ronaldo A. Roncolatto, Pedro A. C. Rosas, Vittoria E. M. S. Andrade, Rafael G. Bento, Luiz C. P. Silva, João G. I. Cypriano et al.
Energies 2024, 17(2), 341; https://doi.org/10.3390/en17020341
Available online: https://www.mdpi.com/1996-1073/17/2/341
8. “A Feedforward Control-Based Power Decoupling Strategy for Grid-Forming Grid-Connected Inverters”
by Baojin Liu, Zhaofeng Song, Bing Yu, Gongde Yang and Jinjun Liu
Energies 2024, 17(2), 424; https://doi.org/10.3390/en17020424
Available online: https://www.mdpi.com/1996-1073/17/2/424
a. “Deep Learning-Based Algorithm for Internal Fault Detection of Power Transformers during Inrush Current at Distribution Substations”
by Sopheap Key, Gyu-Won Son and Soon-Ryul Nam
Energies 2024, 17(4), 963; https://doi.org/10.3390/en17040963
Available online: https://www.mdpi.com/1996-1073/17/4/963
10. “A Novel Methodology for Developing an Advanced Energy-Management System”
by Cristian Gheorghiu, Mircea Scripcariu, Gabriela Nicoleta Tanasiev, Stefan Gheorghe and Minh Quan Duong
Energies 2024, 17(7), 1605; https://doi.org/10.3390/en17071605
Available online: https://www.mdpi.com/1996-1073/17/7/1605