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Related Experiment Video

Updated: May 14, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Robust Control of Distribution Static Compensator in Self-Excited Induction Generator-Based Wind Energy Systems Under

Ali Sait Özer¹, Hulusi Karaca²

¹Department of Control and Automation Technology, Konya Technical University, Konya 42250, Türkiye.

Sensors (Basel, Switzerland)

|May 13, 2026

Summary

This study introduces an Advanced Dual Fourth-Order Generalized Integrator (ADFOGI) control for self-excited induction generators with distribution static compensators. The ADFOGI method enhances voltage and frequency regulation under challenging load conditions and sensor errors.

Keywords:

ADFOGI-PLL DC offset DSTATCOM SEIG harmonic estimation power quality sensor-induced errors

Related Experiment Videos

Last Updated: May 14, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

Area of Science:

Electrical Engineering
Renewable Energy Systems
Power Electronics

Background:

Self-excited induction generators (SEIGs) in wind energy systems exhibit poor voltage and frequency regulation with nonlinear and unbalanced loads.
Distribution static compensators (DSTATCOMs) offer reactive power support and harmonic mitigation but are sensitive to control algorithm robustness.

Purpose of the Study:

To propose an Advanced Dual Fourth-Order Generalized Integrator (ADFOGI)-based control algorithm for SEIG-DSTATCOM systems.
To enhance voltage and frequency regulation under nonlinear loads, unbalanced loads, and sensor errors like DC offset.

Main Methods:

Development and implementation of the ADFOGI control algorithm.
Validation on an OPAL-RT real-time platform under various adverse conditions, including introduced DC offset.
Testing with nonlinear loads, unbalanced nonlinear loads, and open-circuit conditions.

Main Results:

The ADFOGI method demonstrated inherent rejection of DC offset components, enabling accurate reference current generation.
Under severe conditions (16.23% load current THD), SEIG current THD was reduced to 3.71% and voltage THD to 1.66%.
Harmonic levels consistently remained below the IEEE-519-2022 limit of 5% across all tested scenarios.

Conclusions:

The proposed ADFOGI control strategy significantly improves voltage and frequency regulation in SEIG-DSTATCOM systems.
The method exhibits robustness against harmonics, load imbalance, and sensor-induced DC offset errors.
The findings confirm the effectiveness and reliability of the ADFOGI approach for stable wind energy generation.