Online Alarm Recognition of Power Grid Dispatching Based on PRADO
Lei Huang, Xi Fang, Zhongqiang Zhou, Jiaxing Mei, Shi Wang · 2021 International Conference on Power System Technology (POWERCON) · 2021
The alarm recognition of power grid is an important link to realize smart grid dispatching. An online alarm recognition method of power grid dispatching based PRADO and knowledge base is proposed in this paper. Firstly, a natural language processing-deep learning text data mining architecture is introduced, and the PRADO model is used to vectorize the alarm information of grid regulation. Then the vectorized information is input into the CNN deep learning model for training, and the Attention mechanism is introduced to improve the CNN model according to the characteristics of grid alarm information. The accuracy and validity of the model are verified by example. Finally, the online alarm recognition of power grid dispatching integrating PRADO model and traditional knowledge base is proposed, which provides an idea for engineering application.