Electric and Heating Collaborative Information Panoramic Perception and Diagnosis

In order to improve the power grid fault perception ability and improve the fault analysis level, a panoramic data platform for power grid fault analysis is proposed. According to the fault analysis requirements of UHV AC and DC power grids, the overall architecture of the panoramic data platform and the fault data processing process are proposed, which realizes the data acquisition and processing requirements under grid faults, and conducts online diagnosis to realize grid fault data collection, storage and history. Fault traceback function. The experimental results show that the intelligent perception with the recognition accuracy of more than 90% is achieved by training the same type of typical household appliances through the LSTM network. At the same time, the results also show that LSTM has better advantages in fault identification.