# 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.

Download#### 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