Real-Time Model-Adaptive Relaying Applied to Microgrid Protection

Ferrari Maglia, Max; Ollis, Ben; Sundararajan, Aditya; Herron Jr, Drew; Lindsay, Isabelle; Shepard, Neil; Smith, Travis; Marshall, Mike; Smith, Travis; Hambrick, Joshua; Piesciorovsky, Emilio; Sticht, Chris

doi:10.1109/ISGT51731.2023.10066421

Real-Time Model-Adaptive Relaying Applied to Microgrid Protection

Conference · Sat Dec 31 23:00:00 EST 2022

DOI:https://doi.org/10.1109/ISGT51731.2023.10066421· OSTI ID:1994721

Ferrari Maglia, Max ^[1]; ^[1]; ^[1]; ^[1]; Lindsay, Isabelle ^[1]; ^[1]; Smith, Travis ^[2]; Marshall, Mike ^[3]; Smith, Travis ^[4]; Hambrick, Joshua ^[5]; Piesciorovsky, Emilio ^[1]; Sticht, Chris ^[6]

ORNL
DRG
DRG Solution
DRG Solutions
Open Energy Solutions Inc
Idaho National Laboratory (INL)

In microgrids, the short-circuit current magnitude is significantly limited by more than an order of magnitude due to the relatively small inverter-based resources. Commercially available protective devices for distribution cannot reliably protect a microgrid due to their dependence on the magnitude of the fault current. Moreover, overcurrent relays typically cannot function properly for a microgrid because they are incapable of detecting faults and/or performing the coordination between the relays in inverter-based microgrids operated in the islanded mode. This paper proposes a model-adaptive relay designed to adjust the relay curves based on the available generation and the network topology. The proposed method runs a real-time model of the microgrid, which gathers information from the network to calculate the available short-circuit current in the specified node. The fault current from the model is then used for the adaptive algorithm to calculate the relay settings, considering coordination with the downstream fuses and upstream reclosers. This work presents the validation of the proposed method in Hardware-in-the-Loop, in a hardware testbed as well as field deployed in a real microgrid in East-Tennessee.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1994721

Country of Publication:: United States

Language:: English

References (14)

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