Complementary Analysis of Low-voltage Power Outage Based on Transformer
Compared with the relatively complete high and medium voltage distribution networks,the low-voltage distribution network has the characteristics of wide distribution,harsh equipment operating environment,and uneven quality of monitoring devices,which makes the missed alarm,false alarm and frequent power outage events often occur in the operation process.Problems such as reporting,false reporting,increase the cost of energy consumption and reduce the quality of electricity serv-ice.Relying on the smart meter network architecture,a deep learning-based low-voltage power outage completion analysis method is finally designed.The 4 types of power failure events of low-voltage distribution network are summarized,and the construction and use of the deep neural network model transformer is proposed.The related analysis system architecture is de-signed,and the use case of the visual management system is given.For problems such as power outage completion of low-volt-age distribution network,it provides a complete solution worthy of reference for the industry.
low-voltage distribution networklow-voltage power outages completiondeep learning networkintelligent man-agement system
万方数据
维普
