Fault detection research of smart microgrid based on convolutional neural network

Jiaolong Lv; Di Gai; Yuanlong Bai; Chuanbo Liu; Shizhe Ma; Mengyu Zhang; Yishu Han; Zhaochen Hou; Yijing Gui; Di Yu; Jialin Li; Ying Xiao

doi:10.1117/12.3004290

25 September 2023 Fault detection research of smart microgrid based on convolutional neural network

Jiaolong Lv, Di Gai, Yuanlong Bai, Chuanbo Liu, Shizhe Ma, Mengyu Zhang, Yishu Han, Zhaochen Hou, Yijing Gui, Di Yu, Jialin Li, Ying Xiao

Author Affiliations +

Proceedings Volume 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023); 127885Y (2023) https://doi.org/10.1117/12.3004290
Event: Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 2023, Kuala Lumpur, Malaysia

Abstract

With the rapid development of new energy generation technology and communication technology, the market demand and input-output ratio of smart microgrid are getting higher and higher. Smart microgrid combines the advantages of smart grid and microgrid into one, with high automation, flexible and reliable power supply, which is a good carrier to study smart grid and its operation control methods. Compared with traditional power grids, smart microgrids have a complex structure and there are many potential faults that are difficult to detect by traditional methods, leading to changes in configuration structure, which in turn have a more obvious impact on the safe and stable operation of smart microgrids, and the system operation efficiency decreases or even generates systemic instability. In this paper, a deep learning algorithm is used to construct an AI fault identification and localization system for smart microgrid. The convolutional neural network structure is used to extract the simulation data of smart microgrid in different states and build a training set.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaolong Lv, Di Gai, Yuanlong Bai, Chuanbo Liu, Shizhe Ma, Mengyu Zhang, Yishu Han, Zhaochen Hou, Yijing Gui, Di Yu, Jialin Li, and Ying Xiao "Fault detection research of smart microgrid based on convolutional neural network", Proc. SPIE 12788, Second International Conference on Energy, Power, and Electrical Technology (ICEPET 2023), 127885Y (25 September 2023); https://doi.org/10.1117/12.3004290

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KEYWORDS

Convolutional neural networks

Control systems

Evolutionary algorithms

Education and training

Artificial intelligence

Power supplies

Detection and tracking algorithms

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