Probing-Based Inertia Estimation Method Using Hybrid Power Plants

Jiang, Zhihao; Yin, He; Li, Hongyu; Liu, Yilu; Tan, Jin; Hoke, Andy; Rockwell, Brad; Kruse, Cameron

doi:10.1109/PESGM52003.2023.10252847

Probing-Based Inertia Estimation Method Using Hybrid Power Plants

Conference · 25 September 2023

DOI:https://doi.org/10.1109/PESGM52003.2023.10252847· OSTI ID:2229078

Jiang, Zhihao; Yin, He; Li, Hongyu; Liu, Yilu; ; ; Rockwell, Brad; Kruse, Cameron

With the displacement of synchronous generation by inverter-based resources (IBRs), power systems could face the challenge of reduced inertia since IBRs do not inherently contribute to system inertia. Therefore, there is rising interest in monitoring system inertia in real-time applications for situational awareness. In addition, there is a growing number of IBRs that provide fast frequency responses (FFR) in the form of synthetic inertia and P-f droop. It is desirable to quantify the contribution of these FFR controls as equivalent inertia. This paper proposes a probing-based inertia estimation method using a PV-battery hybrid power plant in the Kauai island power system. The method is validated under different operating conditions.

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Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE National Renewable Energy Laboratory (NREL)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2229078

Report Number(s):: NREL/CP-5D00-88221; MainId:88996; UUID:6668daad-15c4-413a-bb1f-37c0d0272aa5; MainAdminID:71229

Resource Relation:: Conference: Presented at the the 2023 IEEE Power & Energy Society General Meeting (PESGM), 16-20 July 2023, Orlando, Florida

Country of Publication:: United States

Language:: English

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POWER TRANSMISSION AND DISTRIBUTION
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