Online Inertia Estimation: A Pumped Storage Hydropower Turn-Off Traces Based-Method in Large Interconnection Systems

Real-time inertia monitoring is essential for maintaining stable power system operations, particularly in grids with high levels of renewable energy penetration. Existing inertia estimation methods often overlook the contributions of loads or inverter-based resources synthetic inertia. They also do not verify individual inertia values through response measurements. To address this challenge, a real-time, low-cost, and accurate inertia monitoring and estimation technology is developed to quantify the effective inertia for the actual grid response. First, the mechanism of the synchrophasor response during pumped storage hydro (PSH) is analyzed. Then, a comprehensive synchrophasor traces-based trigger is designed to detect the operation from PSH plants, utilizing its instantaneous step change in active power at the plant’s connection point during the pump turn-<sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small> operation. Next, an improved adaptive-window prior-event rate of change of frequency tolerant inertia calculation method is proposed, with the advantage of real-time, noise immunity, and high accuracy. Furthermore, an inertia monitoring system based on PSH operation traces is established, integrating measurements from frequency disturbance recorders. By partnering with NERC, Dominion Energy, and Tennessee Valley Authority, this initiative addresses one of the primary challenges of operating a high-penetration renewable, thereby paving the way for a carbon-free power sector with significantly improved operational performance in the U.S.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2025-09-20
DOI
https://doi.org/10.1109/tii.2025.3606882
Citations
1
Primary Topic
Electromagnetic Compatibility and Noise Suppression
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Online Inertia Estimation: A Pumped Storage Hydropower Turn-Off Traces Based-Method in Large Interconnection Systems

Lin Zhu, Chujie Zeng, Yan Wen, Wei Qiu et al.
1 citations
IEEE Transactions on Industrial Informatics
Electromagnetic Compatibility and Noise Suppression
0.73
article

Online Inertia Estimation: A Pumped Storage Hydropower Turn-Off Traces Based-Method in Large Interconnection Systems

Lin Zhu, Chujie Zeng, Yan Wen, Wei Qiu, Chang Chen, Hongyu Li, Yilu Liu, Mark W. Baldwin
article en
1 citations

Abstract

Real-time inertia monitoring is essential for maintaining stable power system operations, particularly in grids with high levels of renewable energy penetration. Existing inertia estimation methods often overlook the contributions of loads or inverter-based resources synthetic inertia. They also do not verify individual inertia values through response measurements. To address this challenge, a real-time, low-cost, and accurate inertia monitoring and estimation technology is developed to quantify the effective inertia for the actual grid response. First, the mechanism of the synchrophasor response during pumped storage hydro (PSH) is analyzed. Then, a comprehensive synchrophasor traces-based trigger is designed to detect the operation from PSH plants, utilizing its instantaneous step change in active power at the plant’s connection point during the pump turn-<sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">off</small> operation. Next, an improved adaptive-window prior-event rate of change of frequency tolerant inertia calculation method is proposed, with the advantage of real-time, noise immunity, and high accuracy. Furthermore, an inertia monitoring system based on PSH operation traces is established, integrating measurements from frequency disturbance recorders. By partnering with NERC, Dominion Energy, and Tennessee Valley Authority, this initiative addresses one of the primary challenges of operating a high-penetration renewable, thereby paving the way for a carbon-free power sector with significantly improved operational performance in the U.S.

IEEE Transactions on Industrial InformaticsVol. 21(12)
Electric Power Research Institute (US), Dominion (United States) (US), University of Tennessee at Knoxville (US)
Openalex Percentile: Top 23%
Electromagnetic Compatibility and Noise Suppression
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.