A Stability Analysis Tool for Bulk Power Systems Using Black-Box Models of Inverter-based Resources

Conference · Sun Oct 09 04:00:00 EDT 2022 · 2022 IEEE Industry Applications Society Annual Meeting (IAS)

DOI:https://doi.org/10.1109/ias54023.2022.9940032· OSTI ID:2222584

Sun, Dongsen ^[1]; Liu, Hanchao ^[2]; Gong, Maozhong ^[2]

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1. GE Global Research Research Circle Niskayuna,NY,USA,12309; GE Research
2. GE Global Research Research Circle Niskayuna,NY,USA,12309

This paper presents a small-signal stability analysis tool for large-scale power systems with high penetration of inverter-based resources (IBRs). Firstly, a network transfer function matrix (NTFM), which represents the information of the system topology, transmission lines, loads, IBRs locations, etc., is derived to model the entire power system network. Secondly, small-signal perturbation method is applied to obtain the sequence impedance/admittance responses of IBRs considering the frequency cross-coupling effects. With the obtained NTFM as well as IBRs' models, a multi-input, multi-output (MIMO) feedback system is constructed, and the generalized Nyquist criterion (GNC)-based stability method is employed to analyze the stability of the entire power system. Different testing cases based on a modified IEEE-14 bus system are leveraged to verify the proposed stability analysis tool.

• Research Organization: GE Research
• Sponsoring Organization: USDOE Office of Energy Efficiency and Renewable Energy (EERE)
• DOE Contract Number: EE0009024
• OSTI ID: 2222584
• Report Number(s): DOE-GE-9024-2
• Conference Information: Journal Name: 2022 IEEE Industry Applications Society Annual Meeting (IAS)
• Country of Publication: United States
• Language: English