Image data compression technology of smart grid operation based on deep learning

Xin Xia; Chuanliang He; Yingjie Lv; Shouzhi Wang; Bo Zhang; Chen Chen; Haipeng Chen; Meixuan Li

doi:10.3788/IRLA20220097

Infrared and Laser Engineering, Volume. 51, Issue 12, 20220097(2022)

Image data compression technology of smart grid operation based on deep learning

Xin Xia1... Chuanliang He1, Yingjie Lv2, Shouzhi Wang2, Bo Zhang2, Chen Chen3, Haipeng Chen4,* and Meixuan Li5,* |Show fewer author(s)

Author Affiliations

¹State Grid Laboratory of Power Line Communication Application Technology, Beijing Smart-Chip Microelectronics Techno1ogy Co., Ltd, Beijing 102200, China

²Beijing Electric Power Science & Smart Chip Technology Company Limited, Beijing 100192, China

³College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130026, China

⁴Department of Electrical Engineering, Northeast Electric Power University, Jilin 132012, China

⁵Institute for Interdisciplinary Quantum Information Technology, Jilin Engineering Normal University, Changchun 130052, China

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Figures & Tables(7)

Fig. 1. Correlation of time series data

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Fig. 2. Structure of a convolutional neural network

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Fig. 3. Flow chart of data compression of power grid based on CNN

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Fig. 4. Results of image compression in power grid before and after processing based on CNN

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Table 1. Optimized hyperparameters results of CNN
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Table 1. Optimized hyperparameters results of CNN
Parameter type Value
Optimizer Adam
Batch size 64
Number of convolutional layers 3
Number of convolution kernels (32, 64, 64)
Learning rate 0.4

Table 2. Data compression accuracy
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Table 2. Data compression accuracy
N=0.3 N=0.4 N=0.5 N=0.6 N=0.7 N=0.8
Compression ratio 87.38% 84.22% 80.34% 77.45% 60.23% 55.31%
Average precision 66.33% 68.62 74.16% 90.35% 91.73% 93.56%

Table 3. Comparison results of different models
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Table 3. Comparison results of different models
Index ANN DBN CNN
Average precision 82.32% 87.71% 91.73%
Training time/s 1682 1533 1271

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Xin Xia, Chuanliang He, Yingjie Lv, Shouzhi Wang, Bo Zhang, Chen Chen, Haipeng Chen, Meixuan Li. Image data compression technology of smart grid operation based on deep learning[J]. Infrared and Laser Engineering, 2022, 51(12): 20220097

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