Can quantum computing save the power grid?

Sean Wolfe | Source: Power + Grid | Posted 08/28/2024

A solution from Multiverse uses quantum and “quantum-inspired” algorithms in an effort to select the optimal number, type and locations of batteries on the grid network. Iberdrola, parent group of U.S. subsidiary Avangrid, said it has successfully delivered a pilot project with quantum computing company Multiverse Computing which aimed to optimize the installation of grid-scale batteries through algorithms.


AI generated summary

The pilot project between Iberdrola and Multiverse Computing in Spain aimed to optimize the installation of grid-scale batteries using quantum and quantum-inspired algorithms. By selecting the optimal number, type, and locations of batteries on the grid network, the solution reduces costs and improves network performance. The project, overseen by i-DE, Iberdrola's distribution company, focused on Guipuzkoa's electricity grid and showed promising results in maximizing grid reliability and voltage control over the 10-month duration.

Implementing solutions across key areas such as initial cost optimization, voltage control, and reliability, the project used Singularity, Multiverse Computing's platform, to enhance battery grid performance. By leveraging quantum-inspired techniques, the tool enables users to achieve faster and more accurate solutions for complex energy sector problems. This innovative approach signals a shift towards utilizing quantum computing for grid optimization and paves the way for advancements in sustainable energy solutions.



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