Integración de tecnologías Blockchain en un esquema de control predictivo distribuido y jerárquico para comunidades energéticas

Manuel Sivianes

https://orcid.org/0000-0002-1244-1634

Spain

Universidad de Sevilla image/svg+xml

Departamento de Ingeniería de Sistemas y Automática

Pablo Velarde

https://orcid.org/0000-0002-0503-829X

Spain

Universidad Loyola Andalucía image/svg+xml

Departamento de Ingeniería

Ascensión Zafra-Cabeza

https://orcid.org/0000-0001-9505-8050

Spain

Universidad de Sevilla image/svg+xml

Departamento de Ingeniería de Sistemas y Automática

Carlos Bordons

https://orcid.org/0000-0001-5060-7888

Spain

Universidad de Sevilla image/svg+xml

Departamento de Ingeniería de Sistemas y Automática

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Aceptado: 06-08-2024

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Publicado: 02-09-2024

DOI: https://doi.org/10.4995/riai.2024.21330
Datos de financiación

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Palabras clave:

sistemas de gestión y distribución de energía, blockchain, control estocástico, control predictivo

Agencias de apoyo:

Ministerio de Ciencia e Innovación

Resumen:

En este estudio, se introduce una plataforma de gestión energética jerárquica que incorpora la tecnología blockchain para eliminar la dependencia de un coordinador centralizado. La plataforma está diseñada para operar en comunidades energéticas donde aparecen incertidumbres estocásticas. La estrategia se divide en dos niveles: en el nivel superior, se lleva a cabo un problema de optimización de control predictivo distribuido estocástico, en el que todos los hogares de la comunidad participan para determinar las acciones de control de manera horaria. En este nivel, se utiliza un contrato inteligente como intermediario entre los hogares, encargado de realizar las tareas de control e intercambio de información. Por otro lado, en el nivel inferior, cada hogar resuelve de manera local e independiente un problema de optimización de control predictivo para seguir las referencias establecidas después del consenso alcanzado por la capa superior, a una frecuencia significativamente mayor. La validez de esta plataforma para optimizar el funcionamiento económico de la comunidad y cumplir con las restricciones probabilísticas, se ha validado con diferentes simulaciones.

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