In response to the shortcomings of low accuracy,poor real-time performance,and high cost in the current UPS power quality detection process,a UPS power quality detection and recognition algorithm is proposed based on the VMD-SAE-1DCNN model.For the nonlinear and non-stationary characteristics of electric energy signals,the variational modal algorithm is used to decompose the original signal to obtain the intrinsic modal signal.At the same time,the sparse Auto Encoder is used to extract the characteristics of the intrinsic mode signal,and the multi-layer one-dimensional Convolutional Neural Network model is established to train the characteristics,which improves the operation efficiency.The experimental test results show that the proposed algorithm has the best iteration times and running time in the comparison algorithm,with a classification accuracy of over 97%,fully proving the effectiveness of the proposed algorithm improvement.
关键词
UPS/变分模态算法/稀疏自编码器/卷积神经网络/电能质量分析
Key words
UPS/variational modal algorithm/Sparse Auto Encoder/Convolutional Neural Network/power quality analysis
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