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Development and implementation of a MATLAB-based phasor data concentrator for synchrophasor applications

Lookup NU author(s): Professor Vladimir TerzijaORCiD

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2023 The Author(s). This work presents the development of MatPDC, an IEEE Std. C37.118.2-2011 compliant Phasor Data Concentrator (PDC) implemented in the Matlab environment. MatPDC enables the integration of wide-area monitoring, protection and control system synchrophasor data into the Matlab platform, offering real-time access to synchronized data streams from multiple Phasor Measurement Units (PMUs). The key features of MatPDC include real-time data access, data integrity verification, data aggregation and alignment, compliant data communication, and latency calculation. These features facilitate efficient processing and analysis of synchronized data, reducing complexity and improving latency between data sources and applications. The development of MatPDC addresses the need for accessing and analyzing real-time synchrophasor data within the Matlab environment, providing researchers and engineers with a powerful tool for power system analysis and experimentation. By developing the PDC and synchrophasor applications on the same platform, MatPDC reduces complexity and latency between data sources and applications. It offers real-time access to synchronized data streams, ensuring data integrity through verification mechanisms and aggregating the data into a unified dataset based on time tags. The implementation of MatPDC opens up opportunities for researchers to work with real-time synchrophasor data. It facilitates the development of advanced algorithms, real-time simulations, and the verification of control strategies. The integration and evaluation of MatPDC demonstrate its effectiveness and potential in power system analysis, providing researchers and engineers with a valuable tool for their research and development activities.


Publication metadata

Author(s): Singh SP, Chakrabarti S, Shukla D, Terzija V

Publication type: Article

Publication status: Published

Journal: International Journal of Electrical Power and Energy Systems

Year: 2024

Volume: 155

Issue: Part B

Print publication date: 01/01/2024

Online publication date: 09/11/2023

Acceptance date: 31/10/2023

Date deposited: 22/11/2023

ISSN (print): 0142-0615

ISSN (electronic): 1879-3517

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.ijepes.2023.109637

DOI: 10.1016/j.ijepes.2023.109637

Data Access Statement: No data was used for the research described in the article.


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