A recent study conducted by Stanford University suggests that expensive infrastructure upgrades to accommodate the growing demands of electric grids in the future may not be necessary. Instead, the installation of software in homes and businesses to coordinate consumer demands and resources could enhance grid reliability and reduce peak load, potentially saving billions of dollars in grid infrastructure upgrades.

The study proposes a coordinated approach facilitated through the use of software, which could significantly reduce the number of transformer failures and expedite the rate of electrification adoption. By implementing centralized control across the grid, researchers project a reduction in transformer failures to just one in four, offering substantial cost savings for utility companies and customers alike.

The research team focused on quantifying the trade-off between lowering consumer electricity costs and maintaining grid reliability. Their models and projections highlighted the benefits of coordinating thermal loads and the adoption of distributed energy resources, surpassing the advantages of battery storage and flexible scheduling of electric vehicle charging. The team plans to make their software publicly available for others to assess its potential benefits in their own grid systems.

Funding for this research was provided by the U.S. Department of Energy and its Advanced Research Projects Agency-Energy (ARPA-E). The next steps involve developing a coordination scheme suitable for widespread adoption, conducting pilot programs, and incentivizing consumers to install the necessary software. The findings of this study could revolutionize the future of electric grids, ensuring reliability and affordability in the face of increasing electricity demand and evolving energy landscapes.

Source: scienceblog.com