Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System

Daison Stallon, Ichrak Zaid, Yolanda Vidal, Yolanda Vidal

2024

Abstract

Doubly-Fed Induction Generator (DFIG)-based Wind Energy Conversion Systems (WECS) are critical in modern electricity generation due to their ability to enhance energy capture and seamlessly integrate with the electrical grid. However, maintaining reliability and minimizing maintenance costs are essential to ensure consistent energy production. This research presents an innovative method for fault detection and diagnosis in DFIG-based WECS. The approach leverages independent component analysis-based correlation coefficient for precise fault identification. Additionally, an enhanced multihead cross attention with bi-directional long short term memory classifier is employed to accurately categorize different fault types. To further improve classifier’s performance, the multi-strategy enhanced orchard algorithm is implemented, focusing on regulating active and reactive power variations, harmonics in rotor current, and voltage in the DC link. The proposed method is evaluated using MATLAB working platform and demonstrates a high accuracy rate of 98% compared to other techniques.

Paper Citation

in Harvard Style

Stallon D., Zaid I. and Vidal Y. (2024). Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System. In Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO; ISBN 978-989-758-717-7, SciTePress, pages 209-216. DOI: 10.5220/0012891900003822

in Bibtex Style

@conference{icinco24,
author={Daison Stallon and Ichrak Zaid and Yolanda Vidal},
title={Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System},
booktitle={Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO},
year={2024},
pages={209-216},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012891900003822},
isbn={978-989-758-717-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO
TI - Two-Stage Fault Detection and Control Approach for DFIG-Based Wind Energy Conversion System
SN - 978-989-758-717-7
AU - Stallon D.
AU - Zaid I.
AU - Vidal Y.
PY - 2024
SP - 209
EP - 216
DO - 10.5220/0012891900003822
PB - SciTePress