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

Sun, Dongsen; Liu, Hanchao; Gong, Maozhong; Chen, Zhe; Hart, Philip

doi:10.1109/tia.2023.3301488

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

Journal Article · Thu Aug 03 04:00:00 EDT 2023 · IEEE Transactions on Industry Applications

DOI:https://doi.org/10.1109/tia.2023.3301488· OSTI ID:2222571

^[1]; ^[2]; Gong, Maozhong ^[2]; ^[2]; Hart, Philip ^[2]

GE Global Research, Niskayuna, NY (United States); GE Research
GE Global Research, Niskayuna, NY (United States)

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 models of the block-box IBRs considering the frequency cross-coupling effects. With the obtained NTFM as well as IBR 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. Furthermore, based on the developed stability analysis method, sensitivity analysis is conducted on an unstable case to identify which parameter has a high impact on the system stability. As a result, different test cases based on a modified IEEE 14- bus system as well as a reduced 240-bus WECC system are studied to verify the proposed stability analysis tool.

View Accepted Manuscript (DOE)

Research Organization:: GE Global Research, Niskayuna, NY (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office

Grant/Contract Number:: EE0009024

OSTI ID:: 2222571

Journal Information:: IEEE Transactions on Industry Applications, Journal Name: IEEE Transactions on Industry Applications Journal Issue: 6 Vol. 59; ISSN 0093-9994

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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42 ENGINEERING
Black-box model
Inverter-based resources (IBRs)
generalized Nyquist criterion (GNC)
sensitivity analysis
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