A New Method for Processing and Application of Wide Area Measurement Big Data in a Power System

Information technology is essential to support the smart grid. The data collected for power management, operations and marketing forms a set of typical industrial big data. As an important information source for power operations, the wide area measurement information provides a new opportunity for the emergency control of a power system, forced on the oscillation source location and model parameter identification. By analyzing the characteristics of the data from a wide area measurement system (WAMS), it is concluded that the wide area measurement information is a kind of special big data in the power systems. In order to deeply evaluate and utilize the wide area big data of power grid, and to conduct the power system online stability analysis and control, an elastic and circular storage structure with dual collection is proposed and implemented in this paper. It achieves collaborative data acquisition, receiving, storage, extraction, and application. Based on our study, a wide area measurement big data processing platform is developed, which attract practical applications, including the low frequency oscillation analysis and voltage stability analysis in some actual interconnected power grid.