From Event Data to Wind Power Plant DQ Admittance and Stability Risk Assessment

Wang, Zhengyu; Bao, Li; Fan, Lingling; Miao, Zhixin; Shah, Shahil

doi:10.1109/tpwrs.2022.3153749

Title: From Event Data to Wind Power Plant DQ Admittance and Stability Risk Assessment

Journal Article · Fri Feb 25 00:00:00 UTC 2022 · IEEE Transactions on Power Systems

DOI: https://doi.org/10.1109/tpwrs.2022.3153749 · OSTI ID:1862947

Wang, Zhengyu ^[1]; Bao, Li ^[1]; Fan, Lingling ^[1]; Miao, Zhixin ^[1];

^[2]

Univ. of South Florida, Tampa, FL (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)

This paper presents a dynamic event data-based stability risk assessment method for power grids with high penetrations of inverter-based resources (IBRs). This method relies on obtaining the IBRs' DQ admittance through dynamic event data and computing the system's eigenvalues based on the admittance models. Two critical technologies are employed in this research, including time-domain and frequency-domain data fitting and dq-frame voltage and current signal derivation. The first technology is key to obtaining the s-domain expressions from the transient response data, and the s-domain DQ admittance model from the frequency-domain measurements. The second technology is key to obtaining the dq-frame voltage and current signals from either the three-phase instantaneous measurements or the phasor measurement unit (PMU) data. The method is illustrated using data generated from a Type-4 wind power plant modeled in PSCAD. This paper demonstrates the technical feasibility of the proposed approach.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States); University of South Florida, Tampa, FL (United States)

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

Grant/Contract Number:: AC36-08GO28308; EE0008771

OSTI ID:: 1862947

Report Number(s):: NREL/JA--5D00-80004; MainId:41209; UUID:ae03a0fa-0261-4eae-892d-b5eed6f77d49; MainAdminID:64251

Journal Information:: IEEE Transactions on Power Systems, Journal Name: IEEE Transactions on Power Systems Journal Issue: 6 Vol. 37; ISSN 0885-8950

Publisher:: IEEECopyright Statement

Country of Publication:: United States

Language:: English

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