Comprehensive small-signal modeling and Prony analysis-based validation of synchronous interconnected microgrids. (November 2021)

• Record Type: Journal Article
• Authors: Naderi, Mobin; Khayat, Yousef; Shafiee, Qobad; Dragicevic, Tomislav; Bevrani, Hassan; Blaabjerg, Frede
• Is Part Of: Energy reports. Volume 7(2021)
• Page Start: 6677
• Page End: 6689
• Publication Date: 2021-11
• Subjects: Interconnected microgrids -- Small-signal modeling -- Prony analysis -- Eigenvalue analysis -- Model validation; Power resources -- Periodicals; Energy industries -- Periodicals; Power resources; Periodicals; Electronic journals; 621.04205
• DOI: 10.1016/j.egyr.2021.10.045
• Languages: English
• ISSNs: 2352-4847

Abstract

Abstract: The small-signal stability of large-scale interconnected microgrids needs to be analyzed to find the most dominant dynamic behaviors. In this paper, a comprehensive and easy-expandable module-based modeling method is proposed, which is expandable to many interconnected AC microgrids through circuit breakers, i.e. synchronous microgrids. Another certain requirement is validating such a large model, which is satisfied using a well-known Prony analysis method. The large-scale interconnected AC microgrids are implemented in a real-time digital simulator to provide input waveforms for the Prony analysis. On the other hand, the dynamic modes of the proposed model are calculated by eigenvalue analysis, and their contributions in each state variable are identified using the participation matrix. In the proposed validation method, the participating modes in each state variable are compared with the natural frequencies of its estimated waveform by Prony analysis. It is concluded that there is a good matching between the participating modes in the state variables and the contributing frequencies in their waveforms that verifies the proposed modeling method. Graphical abstract: Highlights: An expandable small-signal modeling method of large-scale interconnected microgrids A Prony-based validation for the proposed model by just measuring required variables Real-time simulation of the studied nonlinear system to compare with the proposed model