With the rapid development of smart grid, the growth of power system data is also very fast. There is an urgent need of in-depth research for power big data. Because of the large span of the data acquistion speed, numerous data sources, complicated interaction interfaces, and various kinds of data type, the existing big data technologies are unable to adapt to power big data aquisition. In this study, a new solution for power big data acquisition is proposed. The system schedules and manages the heterogeneous data source acquisition tasks through mixed data acquisition model and collection cluster. With the technology of data confidential degree label, the system preserves the original data, indicates the quality of the data and provides convenience for big data analysis applications. The system submittes collected data to the big data platform for storage by Sqoop, Kafka, file transfer, or other methods. The system has been deployed and puts into use in the user site. It runs stably and has a sound effect.