Abstract
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.
| Original language | American English |
|---|---|
| Number of pages | 8 |
| State | Published - 2023 |
| Event | 2023 IEEE PES Grid Edge Technologies Conference & Exhibition - San Diego, California Duration: 10 Apr 2023 → 13 Apr 2023 |
Conference
| Conference | 2023 IEEE PES Grid Edge Technologies Conference & Exhibition |
|---|---|
| City | San Diego, California |
| Period | 10/04/23 → 13/04/23 |
Bibliographical note
See NREL/CP-5D00-86435 for paper as published in proceedingsNLR Publication Number
- NREL/CP-5D00-83807
Keywords
- cell
- distributed energy resource
- grid resilience
- self-organizing maps
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