Multi-Source Information Fusion Technology and Its Application in Smart Distribution Power System

Xi He (), Heng Dong, Wanli Yang and Wei Li
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Xi He: Department of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002, China
Heng Dong: Department of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002, China
Wanli Yang: Department of Electrical and Information Engineering, Hunan University, Changsha 410006, China
Wei Li: Department of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002, China

Sustainability, 2023, vol. 15, issue 7, 1-16

Abstract: Compared to traditional measurement devices, the micro-synchrophasor measurement unit (D-PMU or μPMU) in the distribution power system has great differences in data acquisition frequency, data format, data dimension, time-stamped information, etc. Hence, it is imperative to research the integration mechanism of heterogeneous data from multiple sources. Based on the analysis of the current technology of multi-source information fusion, this paper proposes a novel approach, which considers two aspects: the interoperability of multi-source data and the real-time processing of large-scale streaming data. To solve the problem of data interoperability, we have modified the model of D-PMU data and established a unified information model. Meanwhile, an advanced distributed processing technology has been deployed to solve the problem of real-time processing of streaming data. Based on this approach, a smart distribution power system wide-area measurement and control station can be established, and the correctness and practicality of the proposed method are verified by an on-field project.

Keywords: multi-source information fusion; IEC 61850; CIM; unified information model; D-PMU (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
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