PDF

Paper Title (use style: paper title)

Wael Al Hanaineh, Jose Matas

2022Englishelectricityelectronicsmicrogridsfault detectionpower systemsharmonics

Abstract

Language:

The trend toward Microgrids (MGs) is significantly increasing by employing Distributed Generators (DGs), which leads to new challenges, especially in fault detection. This paper proposes an algorithm based on the Total Harmonic Distortion (THD) of the grid voltages to detect fault events in MGs. The algorithm integrates THD with estimated amplitude voltages and the zero-sequence component for fault detection and identification. The performance of the proposed algorithm is evaluated through MATLAB/Simulink simulations, demonstrating its capability to detect various types of faults in minimal time. The results indicate that the algorithm effectively enhances the reliability and efficiency of fault detection in microgrid systems.

Download

Cite This Work

@article{4df8762f-ffb6-418d-9431-b64a13024f9d,
  title={Paper Title (use style: paper title)},
  author={Wael Al Hanaineh and Jose Matas},
  year={2022},
  language={English}
}
TY  - JOUR
TI  - Paper Title (use style: paper title)
AU  - Wael Al Hanaineh
AU  - Jose Matas
PY  - 2022
LA  - English
ER  -

Similar Items

Machine Learning–Based Protection and Fault

Milad Beikbabaei, Michael Lindemann

100% inverter-based renewable units are becoming more prevalent, introducing new challenges in the protection of microgrids that incorporate these res

2024EnglishPDF

Augmented Synchronization of Power Systems

Peng Yang, Feng Liu

Power system transient stability has been translated into a Lyapunov stability problem for decades. Conventional theories face the challenge of requir

2020EnglishPDF

A Scoping Review of Machine Learning Applications in Power System Protection and Disturbance Management

Julian Oelhaf, Georg Kordowich

The integration of renewable and distributed energy resources has fundamentally reshaped modern power systems, challenging conventional protection sch

2023EnglishPDF

Universidad

Dionysios Moutevelis, Javier Roldán Pérez

This dissertation explores the voltage stability and control of electrical distribution systems characterized by a high penetration of power electroni

2022EnglishPDF

Grid-Connected, Data-Driven Inverter Control, Theory to Hardware

Sebastian Graf, Keith Moffat

Grid-connected inverter control is challenging to implement due to the difficulty of obtaining and maintaining an accurate grid model. Direct Data-Dri

2022EnglishPDF

A critical review of data-driven transient stability assessment

Shitu Zhang, Zhixun Zhu

Transient stability assessment (TSA) has always been a fundamental means for ensuring the secure and stable operation of power systems. Due to the int

2021EnglishPDF