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Power Quality Disturbance Classification Method Based on Particle Swarm Optimization and Convolutional Neural Network
Power Generation Technology Vol. 44, Issue 1, Pages: 136-142(2023)
Smart Grid|Updated：2025-06-06
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Power Quality Disturbance Classification Method Based on Particle Swarm Optimization and Convolutional Neural Network
- “In the field of power quality disturbance classification, researchers have proposed a classification method based on PSO algorithm and CNN, which effectively improves the classification accuracy.”
DOI：10.12096/j.2096-4528.pgt.22004
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Related Author
SONG Liye
MENG Fanyu
CHEN Yulin
SONG Xinping
Shihai ZHANG
Minnan OUYANG
Ang FAN
Xiankui WEN
Related Institution
Faculty of Electrical and Control Engineering, Liaoning Technical University
Hainan Institute of Zhejiang University
School of Energy and Power Engineering, Changsha University of Science and Technology
Electric Power Research Institute of Guizhou Power Grid Co., Ltd.
Goupitan Power Plant, Guizhou Wujiang Hydropower Development Co., Ltd.
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