Iberdrola’s large battery at the Campo Arañuelo site in Spain
Image: Iberdrola
By ESS news
Spanish energy giant Iberdrola has tested quantum computing to optimize the deployment of large-scale batteries in the electricity grid in terms of cost, voltage control and reliability. Accurately modeling large-scale networks and the elements of renewables and storage are notoriously strenuous tasks for classical computing.
A ten-month pilot program between i-DE, Iberdrola’s distribution company in Spain, and quantum computing software company Multiverse Computing, scaled up from small networks to ultimately focus on the electricity grid of Gipuzkoa, in the Basque Country, in northern Spain. The project was also part of the Basque Gipuzkoa Council’s quantum program.
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Multiverse Computing has adapted algorithms to run on a quantum annealer, a type of quantum computer, and on classical hardware, to test optimization solutions. The focus of the company’s report was on achieving improvements in grid batteries in three key areas: initial cost, voltage regulation and reliability.
For example, when optimizing costs, the goal was to reduce the cost of purchasing and installing multiple batteries in the grid. In terms of reliability, the aim was to minimize the impact of power outages on grid customers.
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