AI-Driven Smart Community Control for Accelerating PV Adoption and Enhancing Grid Resilience

Research output: NRELPresentation

Abstract

The U.S. Department of Energy (DOE) has launched a Connected Communities program that supports projects that expand DOE's network of grid-interactive, efficient building communities nationwide. As an early pilot of Connected Communities, the National Renewable Energy Laboratory (NREL) and its partners have developed and demonstrated a community-scale, hierarchical control solution to address the potential grid issues arising from high penetration of solar photovoltaics (PV) as well as to improve grid reliability and resilience in this residential community. A field pilot study has been performed at an affordable housing development called the Basalt Vista Community, which was built for school teachers and other professionals in the local workforce and represents an autonomous energy grid with all-electric, energy-efficient homes. With no natural gas line in the community, this is the first all-electric net-zero community in rural Colorado. In the field pilot study, NREL has validated the performance of the hierarchical control solution, which consists of NREL's foresee home energy management systems (HEMS) and community aggregators, in increasing demand flexibility and self-consuming PV, reducing potential over-voltages, and supporting critical loads during emergency events. In this presentation, we will present the methodology, simulation and field pilot results, and lessons learned from the project.
Original languageAmerican English
Number of pages20
StatePublished - 2022

Publication series

NamePresented at the Department of Energy (DOE) Connected Communities Kickoff Meeting, 2 November 2022, Columbus, Ohio

NREL Publication Number

  • NREL/PR-5500-85283

Keywords

  • all-electric community
  • artificial intelligence
  • connected communities
  • home energy management system
  • smart home

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