Smart Grid
Q-Grid
Quantum Computing for Electrical Grid Optimization
Overview
E.ON is one of the largest electrical utility service providers worldwide. As such, E.ON is facing a wide range of computational challenges due to the digital transformation of the energy sector, as well as the ongoing transition to renewable energy sources.
On the other hand, once it matures, quantum computing is promising significant advantages to a range of a range of complex computational problems we know of today.
Key factors of Q-Grid
Quantum Computing
Quantum computing enhances efficiency and reliability in electrical grid optimization.
Electrical Grid Optimization
Electrical grid optimization aims at sustainable, efficient energy distribution and usage.
Sustainability
Sustainability focuses on meeting needs without compromising future generations' resources.
Provided services
Research and
analysis
Comsysto Reply contributed to the project by conducting thorough research on the applicability of quantum computing in the energy sector, specifically focusing on load scheduling using dynamic pricing.
Computational problem-solving
Comsysto Reply helped in dealing with complex computational tasks, such as solving the optimization problem of scheduling price discounts.
Exploring quantum computing applications
Comsysto Reply played a significant role in exploring the use of quantum computing to solve complex problems from the energy sector.
Documentation and Report Writing
Comsysto Reply assisted in documenting the research findings and writing a pre-print report, summarizing the results and potential future applications of quantum computing in energy sector.
Collaborative Problem-Solving
Working as part of a consortium with E.ON, Ludwig Maximilian University of Munich, and Aqarios GmbH, Comsysto Reply contributed to a collaborative approach to solve complex problems in the energy sector.
