Modeling Energy Community Operations as a QUBO Problem for Quantum Optimization

• Mateo Alonso ^[1] ; Xela García-Santiago ^[1] ; Guillermo Rubiños Rodríguez ^[1] ; Gonzalo Blázquez Gil ^[1]
  1. [1] Instituto Tecnolóxico de Galicia

     Instituto Tecnolóxico de Galicia

     A Coruña, España

     
• Localización: Proceedings XoveTIC 2024: Impulsando el talento científico / coord. por Manuel Lagos Rodríguez, Tirso Varela Rodeiro, Javier Pereira-Loureiro, Manuel Penedo, 2024, págs. 203-208
• Idioma: inglés
• Enlaces
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• Resumen

  • Energy communities are collectives that manage their own production, distribution, and consumption of energy, usually from renewable sources. To increase efficiency and sustainability, the scheduling of the loads on the basis of the user needs, the electricity prices, the availability of local renewable energy and the battery storage capacity must be optimized. Quantum computing, leveraging principles like superposition and entanglement, offers new computational power for complex optimization tasks. This paper lays the basis for exploring the potential of quantum computing in optimizing the operation of energy communities by modeling the problem as a Quadratic Unconstrained Binary Optimization (QUBO) problem.