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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
- DOE Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1983897
- Report Number(s):
- NREL/CP-5D00-86435; MainId:87208; UUID:3c8cfcf4-1a3e-427f-9811-c354acefa092; MainAdminID:69668
- Resource Relation:
- Conference: Presented at the 2023 IEEE PES Grid Edge Technologies Conference & Exposition (Grid Edge), 10-13 April 2023, San Diego, California; Related Information: 83807
- Country of Publication:
- United States
- Language:
- English
Similar Records
Network reconfiguration and distributed energy resource scheduling for improved distribution system resilience
Design of Resilient Electric Distribution Systems for Remote Communities: Surgical Load Management using Smart Meters