Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform
With the increasing penetration of Distributed Energy Resources (DERs) at the grid-edge, power systems include more energy storage, remote switches, relays, voltage regulators, and other intelligent electronic devices (IED). Effective control of these grid-edge devices by using Advanced Distribution Management Systems (ADMS) can yield substantial improvements to the resiliency and power quality of distribution systems. In this paper, improvements to the resiliency of a distribution system are demonstrated using a multi-site evaluation environment consisting of a real-time Hardware-in-Loop (HIL) setup in which DERs and other IEDs are modeled; and an ADMS which monitors and is able to control the distribution system assets. The HIL model and the ADMS are located 2400 km away, with communication between the sites enabled by a data manager using Distributed Network Protocol 3 (DNP3), demonstrating the system's capabilities even over long distances. After a simulated transmission system failure in the HIL demonstration setup, DERs and other devices are operated to restore critical loads and node voltage profile (to within the 'nominal ±5%' band) in the distribution system.
Citation Formats
TY - DATA
AB - With the increasing penetration of Distributed Energy Resources (DERs) at the grid-edge, power systems include more energy storage, remote switches, relays, voltage regulators, and other intelligent electronic devices (IED). Effective control of these grid-edge devices by using Advanced Distribution Management Systems (ADMS) can yield substantial improvements to the resiliency and power quality of distribution systems. In this paper, improvements to the resiliency of a distribution system are demonstrated using a multi-site evaluation environment consisting of a real-time Hardware-in-Loop (HIL) setup in which DERs and other IEDs are modeled; and an ADMS which monitors and is able to control the distribution system assets. The HIL model and the ADMS are located 2400 km away, with communication between the sites enabled by a data manager using Distributed Network Protocol 3 (DNP3), demonstrating the system's capabilities even over long distances. After a simulated transmission system failure in the HIL demonstration setup, DERs and other devices are operated to restore critical loads and node voltage profile (to within the 'nominal ±5%' band) in the distribution system.
AU - Chowdhury, Prithwiraj
A2 - Velaga, Yaswanth Nag
A3 - Essakiappan, Somasundaram
A4 - Prabakar, Kumaraguru
A5 - Manjrekar, Madhav
A6 - Schneider, Kevin
A7 - Laval, Stuart
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.1109/PEDG54999.2022.9923135
KW - Solar
KW - Photovoltaics
KW - PV
KW - Power electronics and inverters
KW - Power electronics
KW - Inverters
KW - Battery energy storage
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Resilience
KW - Extreme weather
KW - Power plant controls
KW - SCADA
KW - Case studies
KW - Performance
LA - English
DA - 2022/01/01
PY - 2022
PB - University of North Carolina at Charlotte
T1 - Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform
UR - https://doi.org/10.1109/PEDG54999.2022.9923135
ER -
Chowdhury, Prithwiraj, et al. Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform. University of North Carolina at Charlotte, 1 January, 2022, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/PEDG54999.2022.9923135.
Chowdhury, P., Velaga, Y., Essakiappan, S., Prabakar, K., Manjrekar, M., Schneider, K., & Laval, S. (2022). Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform. [Data set]. C-MIX - Community Microgrid Information Exchange. University of North Carolina at Charlotte. https://doi.org/10.1109/PEDG54999.2022.9923135
Chowdhury, Prithwiraj, Yaswanth Nag Velaga, Somasundaram Essakiappan, Kumaraguru Prabakar, Madhav Manjrekar, Kevin Schneider, and Stuart Laval. Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform. University of North Carolina at Charlotte, January, 1, 2022. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/PEDG54999.2022.9923135
@misc{CMIX_Dataset_124,
title = {Demonstrating Distribution System Resiliency through Grid-Edge Microgrids, on a Multi-Site Networked Hardware-in-Loop Platform},
author = {Chowdhury, Prithwiraj and Velaga, Yaswanth Nag and Essakiappan, Somasundaram and Prabakar, Kumaraguru and Manjrekar, Madhav and Schneider, Kevin and Laval, Stuart},
abstractNote = {With the increasing penetration of Distributed Energy Resources (DERs) at the grid-edge, power systems include more energy storage, remote switches, relays, voltage regulators, and other intelligent electronic devices (IED). Effective control of these grid-edge devices by using Advanced Distribution Management Systems (ADMS) can yield substantial improvements to the resiliency and power quality of distribution systems. In this paper, improvements to the resiliency of a distribution system are demonstrated using a multi-site evaluation environment consisting of a real-time Hardware-in-Loop (HIL) setup in which DERs and other IEDs are modeled; and an ADMS which monitors and is able to control the distribution system assets. The HIL model and the ADMS are located 2400 km away, with communication between the sites enabled by a data manager using Distributed Network Protocol 3 (DNP3), demonstrating the system's capabilities even over long distances. After a simulated transmission system failure in the HIL demonstration setup, DERs and other devices are operated to restore critical loads and node voltage profile (to within the 'nominal ±5\%' band) in the distribution system.},
url = {https://cmix.openei.org/submissions/124},
year = {2022},
howpublished = {C-MIX - Community Microgrid Information Exchange, University of North Carolina at Charlotte, https://doi.org/10.1109/PEDG54999.2022.9923135},
note = {Accessed: 2026-08-06},
doi = {10.1109/PEDG54999.2022.9923135}
}
https://dx.doi.org/10.1109/PEDG54999.2022.9923135
Details
Data from Jan 1, 2022
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
University of North Carolina at Charlotte
Contact
Yaswanth Nag Velaga
Authors
