Work

A robust reference signal generation method for enhancing power quality in universal active power filter under measurement uncertainties

Year: 2026

Type: article

Abstract: Power quality in grid integrated photovoltaic fed universal active power filter (PV-UAPF) systems depends on accurate extraction of active and reactive components from distorted grid voltage and load current signals. However, sensor bias, harmonic distortion, Gaussian noise, and impulsive noise significantly degrade estimation accuracy and compensation performance. To address these challenges, this paper proposes a modified reweighted zero attraction logistic distance metric adaptive filter (MLDMAF) for robust reference signal generation in PV-UAPF systems. The proposed method integrates a logistic distance metric based adaptive filtering framework with adaptive sensor bias compensation and reweighted zero attraction regularization to improve steady state accuracy, convergence speed, and noise immunity. The effectiveness of the proposed controller is validated under sensor bias, impulsive and Gaussian noise, grid voltage harmonics, unbalanced loads, and irradiance variations through MATLAB simulations and OPAL-RT based experimental studies. Compared with conventional least mean absolute third and normalized least mean absolute third estimators, the proposed MLDMAF reduced root mean square error from 7.31 and 6.32 to 0.06 under sensor bias conditions, and from 24.60 and 11.23 to 0.43 under impulsive and Gaussian noise disturbances, respectively. Furthermore, the proposed controller reduced the load voltage total harmonic distortion (THD) from 23.50% before compensation to 2.25%–2.85% and maintained grid current THD within 2.51%–3.35%, thereby satisfying IEEE 519-2022 standards. The results demonstrate that the proposed MLDMAF provides faster convergence, improved steady state performance, and robust harmonic compensation under severe measurement uncertainties.

Source: Results in Engineering

DOI: 10.1016/j.rineng.2026.112777

Authors: K. M. Sanjeeva Kumar, Satyaprakash Rout, Satyajit Das

Institution: Vellore Institute of Technology University

Language: English

Topic: Power Quality and Harmonics

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,940