Grid Monitoring Alarm Event Recognition Method Integrating Expert Rules and Deep Learning
Ming Zhang, Peifeng Shen, Yang Zhao, Yi Liu · 2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) · 2019
SCADA collects a large amount of alarm information during the power system operation. If the controller cannot quickly judge the monitoring alarm events, it may cause the expansion of the accident. Therefore, we propose a grid monitoring alarm event recognition method combining expert rules and deep learning. The method includes two stages: expert knowledge base determination and deep learning recognition model determination. In the first stage, the characteristics and rules related to monitoring alarm events are sorted, the expert knowledge base is constructed, and the alarm events are initially identified. In the second stage, the preliminary judgment results and the alarm information are combined into the convolutional neural network (CNN) recognition model, thus the final recognition result is obtained.