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Power Quality Disturbance Classification Method Based on Particle Swarm Optimization and Convolutional Neural Network
Smart Grid | 更新时间：2025-06-06

    • 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.”
    • Power Generation Technology   Vol. 44, Issue 1, Pages: 136-142(2023)

    • DOI：10.12096/j.2096-4528.pgt.22004    

      CLC： TK 715

    • Received：23 February 2022，

      Published：28 February 2023

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  • DONG Guangde,LI Daoming,CHEN Yongtao,et al.Power Quality Disturbance Classification Method Based on Particle Swarm Optimization and Convolutional Neural Network[J].Power Generation Technology,2023,44(01):136-142. DOI： 10.12096/j.2096-4528.pgt.22004.

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Related Author

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Minnan OUYANG
Ang FAN
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Related Institution

School of Energy and Power Engineering, Changsha University of Science and Technology
Electric Power Research Institute of Guizhou Power Grid Co., Ltd.
Engineering Research Center of Large Energy Storage Technology, Hohhot 010080, Inner Mongolia Autonomous Region
College of Electric Power, Inner Mongolia University of Technology, Hohhot 010051, Inner Mongolia Autonomous Region
Department of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3GJ, United Kingdom
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