Abstract:The full-view synchronized measurement system (SYMS) has realized the all-directional real-time detection of power systems with high proportion of power electronics. As a platform for receiving and analyzing measurement data, the data processing ability of the SYMS master station is of great significance to ensure the stable operation and application effect of the SYMS. However, due to the reasons as the large number of data types, the surge in the number of devices, and the complexity of the data analysis process, it is difficult for SYMS master station with a centralized architecture to guarantee the real-time performance and reliability of the data processing. Therefore, a distributed master station design method for the SYMS system was proposed and implemented in this paper. Firstly, the proposed method analyzed the communication modes of different measurement devices of SYMS, established a multi-source heterogeneous data adapter based on the open source phasor data concentrator. This paper also designed and implemented a load balancing cluster of the main station front-end server based on the HAProxy. Secondly, aiming at the problem of high delay of the data online analysis of master stations, the Storm based on the stream processing framework was designed and developed to adapt the distributed computing method with multi-language and multi-time window algorithm. The SYMS distributed master station including the pre-data processing platform and the online application platform was further built. The actual system test results show that, compared with the centralized architecture, the proposed architecture can effectively balance the load in actual operation and improve the computing speed through the distributed method. The proposed architecture also have stronger concurrent processing capabilities and shorter delay for multi-type real-time measurement data. Furthermore, it can effectively monitor the abnormal state of the system. Therefore, it can provide the data foundation and application platform for characteristic analysis, modeling, closed-loop control and other applications of the new power system.