TY - GEN
T1 - Real-Time Frequency Estimation in Low Inertia Power Systems.
AU - Kouzou, Ahmed Lakhdar
AU - Sharida, Ali
AU - Bayhan, Sertac
AU - Abu-Rub, Haitham
AU - Khan, Irfan
N1 - DBLP License: DBLP's bibliographic metadata records provided through http://dblp.org/ are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2025/6/6
Y1 - 2025/6/6
N2 - Accurate frequency measurement is essential for maintaining grid stability, particularly during transient events. Traditional frequency estimation methods, such as phase-locked loops (PLLs) and discrete Fourier transforms (DFTs), are widely used, yet they often face limitations under rapidly changing grid conditions. In addition, the growing integration of inverter-based resources (IBRs) has resulted in weaker and more disturbanceprone power systems. Such challenges increase the need for precise and real-time frequency estimation techniques. To address that, this paper proposes a frequency estimation method based on Recursive Least Squares (RLS) algorithm. The key objective of the method is to accurately track abrupt frequency deviations in weak grids and during the existence of measurement noises. The proposed estimator is designed to offer fast and precise performance across a wide range of operating scenarios, including those with high Rates of Change of Frequency (RoCoF). Its effectiveness is validated through extensive simulation and experimental investigations, and bench-marked against conventional frequency estimation techniques.
AB - Accurate frequency measurement is essential for maintaining grid stability, particularly during transient events. Traditional frequency estimation methods, such as phase-locked loops (PLLs) and discrete Fourier transforms (DFTs), are widely used, yet they often face limitations under rapidly changing grid conditions. In addition, the growing integration of inverter-based resources (IBRs) has resulted in weaker and more disturbanceprone power systems. Such challenges increase the need for precise and real-time frequency estimation techniques. To address that, this paper proposes a frequency estimation method based on Recursive Least Squares (RLS) algorithm. The key objective of the method is to accurately track abrupt frequency deviations in weak grids and during the existence of measurement noises. The proposed estimator is designed to offer fast and precise performance across a wide range of operating scenarios, including those with high Rates of Change of Frequency (RoCoF). Its effectiveness is validated through extensive simulation and experimental investigations, and bench-marked against conventional frequency estimation techniques.
KW - Frequency estimation
KW - Low inertia grid
KW - PhaseLocked Loop
KW - Rates of Change of Frequency
KW - Recursive Least Squares
U2 - 10.1109/EUROCON64445.2025.11073321
DO - 10.1109/EUROCON64445.2025.11073321
M3 - Conference contribution
SN - 979-8-3315-0879-1
T3 - Proceedings - EUROCON 2025: 21st International Conference on Smart Technologies
SP - 1
EP - 6
BT - IEEE EUROCON 2025 - 21st International Conference on Smart Technologies
A2 - Czarnowski, Ireneusz
A2 - Jasinski, Marek
PB - IEEE
T2 - 21st IEEE International Conference on Smart Technologies, EUROCON 2025
Y2 - 4 June 2025 through 6 June 2025
ER -