Reducing the duration and frequency of blackouts in remote communities poses an engineering challenge for grid operators. Outage effects can also be mitigated locally through microgrids. This paper develops a systematic procedure to account for these challenges by creating microgrids prioritizing high value assets within vulnerable communities. Nighttime satellite imagery is used to identify vulnerable communities. Using an asset classification and rating system, multi-asset clusters within these communities are prioritized. Infrastructure data, geographic information systems, satellite imagery, and spectral clustering are used to form and rank microgrid candidates. A microgrid sizing algorithm is included to guide through the microgrid design process. An application of the methodology is presented using real event, location, and asset data.
Skip Nav Destination
,
,
,
,
Article navigation
Research Article|
May 31 2022
Graph theory and nighttime imagery based microgrid design Available to Purchase
Melvin Lugo-Alvarez
;
Melvin Lugo-Alvarez
a)
1
Department of Mechanical and Aerospace Engineering, University of California San Diego
, San Diego, California 92093, USA
a)Author to whom correspondence should be addressed: [email protected]
Search for other works by this author on:
Jan Kleissl
;
Jan Kleissl
2
Center for Energy Research, University of California San Diego
, San Diego, California 92093, USA
Search for other works by this author on:
Adil Khurram
;
Adil Khurram
1
Department of Mechanical and Aerospace Engineering, University of California San Diego
, San Diego, California 92093, USA
Search for other works by this author on:
Matthew Lave
;
Matthew Lave
3
Sandia National Laboratories
, Livermore, California 94551, USA
Search for other works by this author on:
C. Birk Jones
C. Birk Jones
4
Sandia National Laboratories
, Albuquerque, New Mexico 87185, USA
Search for other works by this author on:
Melvin Lugo-Alvarez
1,a)
Jan Kleissl
2
Adil Khurram
1
Matthew Lave
3
C. Birk Jones
4
1
Department of Mechanical and Aerospace Engineering, University of California San Diego
, San Diego, California 92093, USA
2
Center for Energy Research, University of California San Diego
, San Diego, California 92093, USA
3
Sandia National Laboratories
, Livermore, California 94551, USA
4
Sandia National Laboratories
, Albuquerque, New Mexico 87185, USA
a)Author to whom correspondence should be addressed: [email protected]
J. Renewable Sustainable Energy 14, 036302 (2022)
Article history
Received:
December 22 2021
Accepted:
April 26 2022
Citation
Melvin Lugo-Alvarez, Jan Kleissl, Adil Khurram, Matthew Lave, C. Birk Jones; Graph theory and nighttime imagery based microgrid design. J. Renewable Sustainable Energy 1 May 2022; 14 (3): 036302. https://doi.org/10.1063/5.0083188
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
208
Views
Citing articles via
Wind and solar energy droughts: Potential impacts on energy system dynamics and research needs
James M. Wilczak, Daniel B. Kirk-Davidoff, et al.
Machine learning for modern power distribution systems: Progress and perspectives
Marija Marković, Matthew Bossart, et al.
High-resolution climate model datasets for energy infrastructure planning in a renewable-dependent future
Robert S. Arthur, Jean-Christophe Golaz, et al.
Related Content
Optimal capacity allocation and scheduling strategy for CSP+PV hybrid standalone power plants
J. Renewable Sustainable Energy (November 2024)
Quantifying the impacts of energy sharing program on enhancing the resilience of buildings in renewable microgrid from a long-period perspective
J. Renewable Sustainable Energy (February 2025)
Techno economic analysis of optimal load scheduling approach in a standalone hybrid microgrid system
J. Renewable Sustainable Energy (December 2024)
A real-time multi-objective HVAC load optimization integrated with home microgrid scheduling
J. Renewable Sustainable Energy (January 2025)
Dual-layer optimized grid-connected operation strategy of electro-thermal multi-microgrid system considering the uncertainty of renewable energy sources
J. Renewable Sustainable Energy (December 2021)