Panoramic synchronous measurement system for wide-area power system based on the cloud computing

With plenty distributed generations accessing to the distribution network, dynamic behavior of the system becomes more complex. However, most of the current condition monitoring products are concentrated on the high voltage grid. It's necessary to extend condition monitoring to low voltage distribution network and provide a new decision support systems for grid operation. This paper presents a panoramic synchronous measurement system (PSMS), which is based on the cloud computing. This system integrates the wide-area measurement system (WAMS) and fault recorder system in high-voltage grid with the wide-area measurement system light (WAMS Light) in low-voltage grid. It constructs a four-tier structure in main station to achieve panoramic monitoring, which covers all voltage level. This method makes full use of the existing data sources and avoids repeated investment of monitoring network rebuilding. For the three kinds of measurement data different in the coding, type and format, this paper describes the common data character with big data perspective to integrate heterogeneous data in HBase. Hadoop is introduced to control the measurements migration, cleaning, integration and cloud computing, facilitating the dispatchers comprehensively capture the actual operation behavior of the monitored power grid.