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Identification of Key Links in Electric Power Operation Based-Spatiotemporal Mixing Convolution Neural network

Computer Systems Science & Engineering 2023年第8期46卷 1487-1501页

作者： Lei Feng Bo Wang Fuqi Ma Hengrui Ma Mohamed AMohamed School of Electrical and Automation Wuhan UniversityWuhanHubei430072China Tus-Institute for Renewable Energy Qinghai UniversityXiningQinghai810016China Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia61519Egypt

As the scale of the power system continues to expand,the environment for power operations becomes more and more *** risk management and control methods for power operations can only set the same risk detection standard and conduct the risk detection for any scenario ***,more reliable and accurate security control methods are urgently *** order to improve the accuracy and reliability of the operation risk management and control method,this paper proposes a method for identifying the key links in the whole process of electric power operation based on the spatiotemporal hybrid convolutional neural *** provide early warning and control of targeted risks,first,the video stream is framed adaptively according to the pixel changes in the video ***,the optimized mobilenet is used to extract the feature map of the video stream,which contains both time-series and static spatial scene *** feature maps are combined and non-linearly mapped to realize the identification of dynamic operating ***,training samples and test samples are produced by using the whole process image of a power company in Xinjiang as a case study,and the proposed algorithm is compared with the unimproved *** experimental results demonstrated that the method proposed in this paper can accurately identify the type and start and end time of each operation link in the whole process of electric power operation,and has good real-time *** average accuracy of the algorithm can reach 87.8%,and the frame rate is 61 frames/s,which is of great significance for improving the reliability and accuracy of security control methods.

关键词： Security risk management key links identifications electric power operation spatiotemporal mixing convolution neural network mobilenet network

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