Data-driven modeling of solar-powered urban microgrids
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Halu-2016-Data-driven modeling.pdf
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2.56 MB
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Author(s)
Halu, Arda
Scala, Antonio
Khiyami, Abdulaziz
Gonzalez, Marta C.
Date Issued
January 2016
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Halu, A., A. Scala, A. Khiyami, and M. C. Gonzalez. “Data-Driven Modeling of Solar-Powered Urban Microgrids.” Science Advances 2, no. 1 (January 15, 2016): e1500700–e1500700.
Version
Final published version
Abstract
Distributed generation takes center stage in today’s rapidly changing energy landscape. Particularly, locally matching demand and generation in the form of microgrids is becoming a promising alternative to the central distribution paradigm. Infrastructure networks have long been a major focus of complex networks research with their spatial considerations. We present a systemic study of solar-powered microgrids in the urban context, obeying real hourly consumption patterns and spatial constraints of the city. We propose a microgrid model and study its citywide implementation, identifying the self-sufficiency and temporal properties of microgrids. Using a simple optimization scheme, we find microgrid configurations that result in increased resilience under cost constraints. We characterize load-related failures solving power flows in the networks, and we show the robustness behavior of urban microgrids with respect to optimization using percolation methods. Our findings hint at the existence of an optimal balance between cost and robustness in urban microgrids.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
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Creative Commons Attribution
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DOI of Published Version
https://doi.org/10.1126/sciadv.1500700
