Quantum computing solutions for optimisation problems in Energy Grids

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Title
Quantum computing solutions for optimisation problems in Energy Grids

CoPED ID
e6dba895-61ac-44d9-8d9c-5a5777fb410f

Status
Active


Value
£359,589

Start Date
Aug. 31, 2023

End Date
Nov. 30, 2023

Description

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Nowadays, most people and businesses rely on a regular and reliable supply of energy for their day-to-day activities, making the energy grid a critical infrastructure for the country. Building and maintaining grid connections is a costly exercise: building an electric grid can cost up to £1.5m per km of line - costs that are ultimately borne by either the taxpayer or the energy consumer. Being able to determine the optimal layout for the network's infrastructure can therefore lead to significant cost savings, as well as potentially improving the network's resilience against vulnerabilities such as extreme weather events.

The move towards Net Zero is also affecting the requirements on the power grid. Where once the network only needed to focus on a small number of generators with similar performance characteristics, it is now required to connect millions of smaller renewable generators, whose energy output is highly variable and often unpredictable.

The increased complexity of the system translates into an exponential increase in the running time of the algorithms that have been traditionally used to determine the grid's layout, making them effectively no longer fit for purpose.

It has long been suggested, though, that quantum computing has the potential to answer these sort of optimisation questions more efficiently than classical computers. Until recently, this was only believed possible in the longer term (requiring full-scale quantum hardware) but recent innovations by Phasecraft have changed this perspective, showing that even in the near term (when quantum computers are expected to be small-scale and noisy) there is the potential for quantum algorithms to outperform classical ones.

With this project, we will work with the Department for Energy Security and Net Zero to identify the priority questions related to network planning and optimisation, and we will then build a quantum software solution to these problems. This will facilitate future network planning and accelerate the deployment of renewables (both key goals within the _Powering Up Britain_ strategy published earlier in 2023).

PHASECRAFT LIMITED LEAD_ORG
PHASECRAFT LIMITED PARTICIPANT_ORG

Cat Mora PM_PER

Subjects by relevance
  1. Optimisation
  2. Infrastructures
  3. Enterprises
  4. Energy policy

Extracted key phrases
  1. Quantum computing solution
  2. Quantum software solution
  3. Quantum computing
  4. Optimisation problem
  5. Energy grid
  6. Optimisation question
  7. Future network planning
  8. Scale quantum hardware
  9. Quantum algorithm
  10. Power grid
  11. Grid connection
  12. Electric grid
  13. Energy Security
  14. Small renewable generator
  15. Energy consumer

Related Pages

UKRI project entry

UK Project Locations