Affiliation:
1. Department of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang 421002, China
2. Department of Electrical and Information Engineering, Hunan University, Changsha 410006, China
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.
Funder
Key project of Hunan Provincial Department of Education
Hunan Provincial Natural Science Foundation Provincial and Municipal Joint Project
Innovation and Entrepreneurship Training Program for College Students in Hunan Province
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction
Reference44 articles.
1. D-PMU based applications for emerging active distribution systems: A review;Liu;Electr. Power Syst. Res.,2020
2. Ahmed, M.M., Amjad, M., Qureshi, M.A., Imran, K., Haider, Z.M., and Khan, M.O. (2022). A Critical review of state-of-the-art optimal PMU placement techniques. Energies, 15.
3. Optimal integrated energy system planning with dg uncertainty affine model and carbon emissions charges;Ge;IEEE Trans. Sustain. Energy,2022
4. Multisource and multitemporal data fusion in remote sensing: A comprehensive review of the state of the art;Ghamisi;IEEE Geosci. Remote Sens. Mag.,2019
5. A review of power system flexibility with high penetration of renewables;Mohandes;IEEE Trans. Power Syst.,2019