Distributed data reception and storage of source network load full-view synchronized measurement system

Bocheng Shi; Hao Liu

doi:10.1117/12.2683890

14 June 2023 Distributed data reception and storage of source network load full-view synchronized measurement system

Bocheng Shi, Hao Liu

Proceedings Volume 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）; 127081V (2023) https://doi.org/10.1117/12.2683890
Event: 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 2023, Chongqing, China

Abstract

Full-view Synchronized Measurement System (SYMS) realizes the dynamic monitoring of electronic power system. At present, the main station of SYMS can receive real-time phasor data from all over the country with SMD for loads(SML), which is independently developed. In this paper, after the master station of SYMS system is confronted with massive data access, openPDC data center cannot be compatible with SML data, openHistorian database cannot classify and recognize massive phase-quantity data, and it is difficult to read and call historical data. An adaptive method of openPDC and SML based on GSF framework is proposed, as well as a real-time phase classification algorithm for openHistorian and SML data, which realizes real-time data transmission from SML to openPDC, and real-time sorting and reading of SML data by openHistorian. A historical data storage algorithm based on.NET framework has been proposed to solve the problem of accessing and calling phasor historical data in openHistorian. The test results show that the proposed algorithm improves the data processing capability of SYMS system.

Citation Download Citation

Bocheng Shi and Hao Liu "Distributed data reception and storage of source network load full-view synchronized measurement system", Proc. SPIE 12708, 3rd International Conference on Internet of Things and Smart City (IoTSC 2023）, 127081V (14 June 2023); https://doi.org/10.1117/12.2683890

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