Aiming at special situation under COVID-19 epidemic environment, big data technology is used to process the power data of different data structures at the very beginning. Firstly, the data of users’ electrical behavior is divided into internal data and external data. Secondly, the behavior of electricity consumption is analyzed by improving K-means clustering algorithm, which can improve the efficiency of the traditional K-means algorithm. Finally, the improved K-means algorithm clustering is used to build the power consumption behavior model, so as to realize the results of the users’ power consumption behavior analysis model. This study helps the state grid corporation of China to achieve the purpose of intelligent distribution of electricity, and gives the general policy tendency, which improves the regulatory capacity of all government departments to help manage national emergencies.