A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources
This paper presents a resilience-oriented cellular grid formation approach to achieve scalable and reconfigurable community microgrid operations for distribution systems with behind-the-meter distributed energy resources. A set of interconnected solar photovoltaics, energy storage systems, and load is termed as a cell, implying a subset of the grid that can operate independently using its own resources. Cells are identified such that each cell inherently has sufficient energy resources to black start and can provide a certain level of backup power for its load under the loss of utility power supply. The proposed cell formation approach builds on a unique self-organizing map-based method (SomRes) to quantify a system's resilience. Using SomRes and a non-dominated sorting-based genetic algorithm (NSGA-II), a fast and efficient cell formation algorithm is developed to identify cells in a distribution system that are resilient against extreme events. The efficacy of the proposed approach is demonstrated on a numerical model of a real distribution feeder in Colorado, United States.
Citation Formats
TY - DATA
AB - This paper presents a resilience-oriented cellular grid formation approach to achieve scalable and reconfigurable community microgrid operations for distribution systems with behind-the-meter distributed energy resources. A set of interconnected solar photovoltaics, energy storage systems, and load is termed as a cell, implying a subset of the grid that can operate independently using its own resources. Cells are identified such that each cell inherently has sufficient energy resources to black start and can provide a certain level of backup power for its load under the loss of utility power supply. The proposed cell formation approach builds on a unique self-organizing map-based method (SomRes) to quantify a system's resilience. Using SomRes and a non-dominated sorting-based genetic algorithm (NSGA-II), a fast and efficient cell formation algorithm is developed to identify cells in a distribution system that are resilient against extreme events. The efficacy of the proposed approach is demonstrated on a numerical model of a real distribution feeder in Colorado, United States.
AU - Kumar, Utkarsh
A2 - Ding, Fei
DB - C-MIX - Community Microgrid Information Exchange
DP - Open EI | National Laboratory of the Rockies
DO - 10.1109/GridEdge54130.2023.10102719
KW - Battery energy storage
KW - Solar
KW - Photovoltaics
KW - PV
KW - Diesel generators
KW - Other liquid-fuel generators
KW - Wind energy
KW - Resilience
KW - Extreme weather
KW - Community engagement
KW - Tribal engagement
KW - Stakeholder engagement
KW - Maintenance and operations
KW - Operations
KW - Maintenance
KW - Commissioning
LA - English
DA - 2023/01/01
PY - 2023
PB - NLR
T1 - A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources
UR - https://doi.org/10.1109/GridEdge54130.2023.10102719
ER -
Kumar, Utkarsh, and Fei Ding. A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources. NLR, 1 January, 2023, C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/GridEdge54130.2023.10102719.
Kumar, U., & Ding, F. (2023). A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources. [Data set]. C-MIX - Community Microgrid Information Exchange. NLR. https://doi.org/10.1109/GridEdge54130.2023.10102719
Kumar, Utkarsh and Fei Ding. A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources. NLR, January, 1, 2023. Distributed by C-MIX - Community Microgrid Information Exchange. https://doi.org/10.1109/GridEdge54130.2023.10102719
@misc{CMIX_Dataset_41,
title = {A Novel Resilience-Oriented Cellular Grid Formation Approach for Distribution Systems with Behind-the-Meter Distributed Energy Resources},
author = {Kumar, Utkarsh and Ding, Fei },
abstractNote = {This paper presents a resilience-oriented cellular grid formation approach to achieve scalable and reconfigurable community microgrid operations for distribution systems with behind-the-meter distributed energy resources. A set of interconnected solar photovoltaics, energy storage systems, and load is termed as a cell, implying a subset of the grid that can operate independently using its own resources. Cells are identified such that each cell inherently has sufficient energy resources to black start and can provide a certain level of backup power for its load under the loss of utility power supply. The proposed cell formation approach builds on a unique self-organizing map-based method (SomRes) to quantify a system's resilience. Using SomRes and a non-dominated sorting-based genetic algorithm (NSGA-II), a fast and efficient cell formation algorithm is developed to identify cells in a distribution system that are resilient against extreme events. The efficacy of the proposed approach is demonstrated on a numerical model of a real distribution feeder in Colorado, United States.},
url = {https://cmix.openei.org/submissions/41},
year = {2023},
howpublished = {C-MIX - Community Microgrid Information Exchange, NLR, https://doi.org/10.1109/GridEdge54130.2023.10102719},
note = {Accessed: 2026-10-11},
doi = {10.1109/GridEdge54130.2023.10102719}
}
https://dx.doi.org/10.1109/GridEdge54130.2023.10102719
Details
Data from Jan 1, 2023
Last updated Mar 30, 2026
Submitted Jun 2, 2026
Organization
NLR
Contact
Utkarsh Kumar
Authors
