Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources

• Proposing dual-inverse DOCR settings to maintain coordinated protection and enhance post-fault stability. • Configuring backup relay times via main curves; auxiliary curves ensure primary high-speed response. • Enhancing digital relay flexibility beyond standard curves, boosting adaptability/resilience in diverse scenarios. • Evaluating I-DERs and dynamic load impacts on power system stability and proposed method effectiveness. Microgrid (MG) is a small-scale system that offers on-site energy production and storage capabilities, allowing for the seamless integration of different technology-driven distributed energy resources (DERs), including inverter-based and synchronous-based DERs. Nonetheless, due to the changes caused by DERs in fault currents, providing protection for MGs is more challenging than traditional systems. The article examines the deployment of directional overcurrent relays (DOCRs) in MGs, considering the stability of DERs. Given the impact of inverter-based DERs’ integration and the limited inertia of synchronous-based DERs, extending the operating times of DOCRs may compromise MG stability after fault clearance. Therefore, a novel dual inverse settings for DOCRs to ensure relay coordination and MGs stability is proposed. Critical clearing times for DERs, accounting for inverter-based DER participation, are determined and integrated with coordination constraints to obtain DOCR settings using genetic algorithm. The proposed scheme is evaluated on an IEEE 33-bus test system with synchronous and inverter-based DERs.

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Institutions

Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-03-31
DOI
https://doi.org/10.1016/j.ijepes.2025.110639
Citations
7
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
8.50
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article

Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources

Mohammed Elgamal, Ahmed N. Sheta, Bishoy E. Sedhom, Juan C. Vásquez et al.
7 citations
International Journal of Electrical Power & Energy Systems
Power Systems Fault Detection
8.50
article

Optimal directional overcurrent relay settings for stable microgrids with synchronous and inverter-based resources

Mohammed Elgamal, Ahmed N. Sheta, Bishoy E. Sedhom, Juan C. Vásquez, Abdelfattah A. Eladl
article en
7 citations

Abstract

• Proposing dual-inverse DOCR settings to maintain coordinated protection and enhance post-fault stability. • Configuring backup relay times via main curves; auxiliary curves ensure primary high-speed response. • Enhancing digital relay flexibility beyond standard curves, boosting adaptability/resilience in diverse scenarios. • Evaluating I-DERs and dynamic load impacts on power system stability and proposed method effectiveness. Microgrid (MG) is a small-scale system that offers on-site energy production and storage capabilities, allowing for the seamless integration of different technology-driven distributed energy resources (DERs), including inverter-based and synchronous-based DERs. Nonetheless, due to the changes caused by DERs in fault currents, providing protection for MGs is more challenging than traditional systems. The article examines the deployment of directional overcurrent relays (DOCRs) in MGs, considering the stability of DERs. Given the impact of inverter-based DERs’ integration and the limited inertia of synchronous-based DERs, extending the operating times of DOCRs may compromise MG stability after fault clearance. Therefore, a novel dual inverse settings for DOCRs to ensure relay coordination and MGs stability is proposed. Critical clearing times for DERs, accounting for inverter-based DER participation, are determined and integrated with coordination constraints to obtain DOCR settings using genetic algorithm. The proposed scheme is evaluated on an IEEE 33-bus test system with synchronous and inverter-based DERs.

International Journal of Electrical Power & Energy SystemsVol. 167
Ural Federal University (RU), Mansoura University (EG), Aalborg University (DK)
Openalex Percentile: Top 2%
Power Systems Fault Detection
8.50
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