Adaptive Dual Setting Optimal Protection Coordination for Hybrid AC/DC Microgrid

The integration of AC and DC subgrids equipped with variable penetration DERs makes the protection of Hybrid AC/DC microgrids complex and challenging. Diverse topological and operational uncertainties result in variable short-circuit levels of the system. The adaptive relay settings are quite imperative to ensure effective protection coordination for such a dynamic system. This work proposes an adaptive dual-setting scheme for the optimal protection coordination of hybrid AC/DC microgrids(HMG), utilising a novel hybrid relay characteristic. The optimal relay settings are updated offline for the most prominent system operating conditions. Additionally, a fail-safe contingency plan, based on a non-intrusive load detection and communication coordination approach, is employed for system changes other than pre-considered operating conditions. This eliminates any central controller-based communication overhead and reliability concerns. A new performance evaluation framework is also designed to investigate the feasibility of overcurrent protection for low-voltage DC subgrid faults. The effectiveness of the proposed work is validated on a modified MV CIGRE-based 7-bus HMG system, and an extended 39-bus HMG based on the IEEE 33-bus test system, using a real-time digital simulator and a numeric relay development environment for hardware-in-loop (HIL) simulations. The results demonstrate improved performance compared to previous adaptive protection coordination schemes under various network reconfigurations, load-switching scenarios, variable DG penetration, and other system operating conditions.

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Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2025-06-13
DOI
https://doi.org/10.1109/tia.2025.3579472
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
1.21
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article

Adaptive Dual Setting Optimal Protection Coordination for Hybrid AC/DC Microgrid

Premalata Jena, Mir Uzair Kanth
1 citations
IEEE Transactions on Industry Applications
Power Systems Fault Detection
1.21
article

Adaptive Dual Setting Optimal Protection Coordination for Hybrid AC/DC Microgrid

Premalata Jena, Mir Uzair Kanth
article en
1 citations

Abstract

The integration of AC and DC subgrids equipped with variable penetration DERs makes the protection of Hybrid AC/DC microgrids complex and challenging. Diverse topological and operational uncertainties result in variable short-circuit levels of the system. The adaptive relay settings are quite imperative to ensure effective protection coordination for such a dynamic system. This work proposes an adaptive dual-setting scheme for the optimal protection coordination of hybrid AC/DC microgrids(HMG), utilising a novel hybrid relay characteristic. The optimal relay settings are updated offline for the most prominent system operating conditions. Additionally, a fail-safe contingency plan, based on a non-intrusive load detection and communication coordination approach, is employed for system changes other than pre-considered operating conditions. This eliminates any central controller-based communication overhead and reliability concerns. A new performance evaluation framework is also designed to investigate the feasibility of overcurrent protection for low-voltage DC subgrid faults. The effectiveness of the proposed work is validated on a modified MV CIGRE-based 7-bus HMG system, and an extended 39-bus HMG based on the IEEE 33-bus test system, using a real-time digital simulator and a numeric relay development environment for hardware-in-loop (HIL) simulations. The results demonstrate improved performance compared to previous adaptive protection coordination schemes under various network reconfigurations, load-switching scenarios, variable DG penetration, and other system operating conditions.

IEEE Transactions on Industry ApplicationsVol. 61(6)
Indian Institute of Technology Roorkee (IN)
Affordable and clean energy
Openalex Percentile: Top 20%
Power Systems Fault Detection
1.21
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