A New Method for Identifying Faults in Low Voltage Distribution Networks Containing Distributed New Energy Sources:: Special Issue

International Journal of Energy and Power Engineering

Special Issue

A New Method for Identifying Faults in Low Voltage Distribution Networks Containing Distributed New Energy Sources

Submission deadline: Aug. 10, 2024

Status: Open for Submission

Special Issue of International Journal of Energy and Power Engineering

Nowadays, due to the extensive integration of distributed new energy into low-voltage distribution networks, traditional passive distribution networks are gradually transitioning to more active distribution networks. Although it is economical and convenient, problems such as bidirectional flow of power flow, unstable output, and isolated operation in new energy power generation systems can lead to misjudgment in traditional fault identification and diagnosis, Therefore, it is necessary to study the identification methods for various faults (such as line break faults, neutral line faults, fault arc detection, etc.) in low-voltage active distribution networks containing distributed new energy, and propose new solutions to make the low-voltage distribution network system containing new energy more stable and reliable.

Multiple new methods can be used to analyze and improve the above issues, such as artificial intelligence, neural networks, multi information fusion, weight correction, etc., to achieve the improvement of traditional fault detection and recognition methods. It is important to fully consider the impact of new energy access and propose fault criteria with strong correlation based on the characteristics of new energy.

Through this special issue, we hope to find ways to solve various problems and difficulties in identifying faults in low-voltage distribution networks caused by new energy access. We aim to improve and innovate traditional fault identification methods and achieve safer and more stable operation of active distribution networks. We welcome researchers from various disciplines to provide interdisciplinary perspectives on new energy, active distribution network, fault identification. Your contributions will play a crucial role in advancing knowledge in this field.

Potential topics include, but are not limited to:

New energy low-voltage distribution network
Multi-information fusion
New Fault Identification Method
Fire prevention and control of distribution network

Lead Guest Editor

Jiahang Sun

College of Electricity and New Energy, China Three Gorges University, Yichang, China

Guest Editor

Chenghao Ma

College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China
Heng Zhao

College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China
Moucheng Zhang

College of Electrical Engineering and New Energy, China Three Gorges University, Yichang, China
Jingguang Huang

Department of Electricity and New Energy, China Three Gorges University, Yi chang, China
Jing Ning

Department of Information and Mathematics, Yangtze University, Jing zhou, China
Xinyuan Lin

Department of Electricity and New Energy, China Three Gorges University, Yi chang, China

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