Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation

• Robust fault location using high-frequency impedance-based scheme. • Handles both pole-to-ground and pole-to-pole faults effectively. • Noise immunity is demonstrated under varying Signal-to-Noise ratios. • Reduces communication dependency by avoiding synchronization. • Accurate fault detection validated for multiple fault scenarios. This paper addresses the critical problem of fault detection in DC zonal shipboard microgrids, which is essential for ensuring system reliability and operational safety. The proposed method detects faults by utilizing the high-frequency characteristics of estimated impedance. The technique involves Fast Fourier Transform analysis of current and voltage waveforms to extract high-frequency components before and after a fault. These features help identify the system’s high-frequency impedance via a communication system. Fault detection is achieved by comparing the estimated impedance with a predefined threshold. The performance of the method is evaluated using MATLAB/Simulink simulations and experimental implementations under various scenarios. Communication between components in the DC zonal microgrid is managed using the IEC 61850 standard. Results demonstrate the method’s effectiveness in detecting faults under diverse conditions, including variations in fault resistance, dynamic load behavior, changes in photovoltaic irradiation, system configuration alterations, noise immunity, and multi-fault scenarios. The method achieves fault clearance times ranging from 0.17 ms in MATLAB/Simulink simulations to 33–45 ms in experimental tests, showing its capability to enhance fault detection in complex DC microgrid environments.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2024-12-31
DOI
https://doi.org/10.1016/j.ijepes.2024.110448
Citations
5
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
1.64
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article

Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation

Bishoy E. Sedhom, Magda I. El-Afifi, Vladimír Bureš, Magdi M. El‐Saadawi et al.
5 citations
International Journal of Electrical Power & Energy Systems
Power Systems Fault Detection
1.64
article

Improved protection scheme for shipboard microgrids based on high frequency impedance method with experimental validation

Bishoy E. Sedhom, Magda I. El-Afifi, Vladimír Bureš, Magdi M. El‐Saadawi, Abdelfattah A. Eladl, Asmaa M. Aboelezz
article en
5 citations

Abstract

• Robust fault location using high-frequency impedance-based scheme. • Handles both pole-to-ground and pole-to-pole faults effectively. • Noise immunity is demonstrated under varying Signal-to-Noise ratios. • Reduces communication dependency by avoiding synchronization. • Accurate fault detection validated for multiple fault scenarios. This paper addresses the critical problem of fault detection in DC zonal shipboard microgrids, which is essential for ensuring system reliability and operational safety. The proposed method detects faults by utilizing the high-frequency characteristics of estimated impedance. The technique involves Fast Fourier Transform analysis of current and voltage waveforms to extract high-frequency components before and after a fault. These features help identify the system’s high-frequency impedance via a communication system. Fault detection is achieved by comparing the estimated impedance with a predefined threshold. The performance of the method is evaluated using MATLAB/Simulink simulations and experimental implementations under various scenarios. Communication between components in the DC zonal microgrid is managed using the IEC 61850 standard. Results demonstrate the method’s effectiveness in detecting faults under diverse conditions, including variations in fault resistance, dynamic load behavior, changes in photovoltaic irradiation, system configuration alterations, noise immunity, and multi-fault scenarios. The method achieves fault clearance times ranging from 0.17 ms in MATLAB/Simulink simulations to 33–45 ms in experimental tests, showing its capability to enhance fault detection in complex DC microgrid environments.

International Journal of Electrical Power & Energy SystemsVol. 164
Mansoura University (EG), Higher Institute of Engineering (EG), University of Hradec Králové (CZ)
Affordable and clean energy
Openalex Percentile: Top 15%
Power Systems Fault Detection
1.64
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