Stochastic Estimation of Fundamental and Harmonic Signal Components

Chukwuemeka Aduba

2023

Abstract

The paper investigates the estimation of fundamental and harmonic components in power system signal using stochastic estimator concept. The power system signal is approximated with a stochastic linear system model where the phase and amplitude components are estimated using a Kalman filter (KF) and an Ensemble Kalman filter (EnKF). The power system signal is modeled in both continuous and discrete form and then represented in state-space approach. Simulation results show that EnKF estimates converge to KF estimates as the ensemble size increases while reducing the computational complexity for highly-dimensional stochastic systems.

Paper Citation

in Harvard Style

Aduba C. (2023). Stochastic Estimation of Fundamental and Harmonic Signal Components. In Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO; ISBN 978-989-758-670-5, SciTePress, pages 34-40. DOI: 10.5220/0012183400003543

in Bibtex Style

@conference{icinco23,
author={Chukwuemeka Aduba},
title={Stochastic Estimation of Fundamental and Harmonic Signal Components},
booktitle={Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO},
year={2023},
pages={34-40},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012183400003543},
isbn={978-989-758-670-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO
TI - Stochastic Estimation of Fundamental and Harmonic Signal Components
SN - 978-989-758-670-5
AU - Aduba C.
PY - 2023
SP - 34
EP - 40
DO - 10.5220/0012183400003543
PB - SciTePress