Control predictivo en microrredes interconectadas y con vehículos eléctricos

C. Bordons, F. Garcia-Torres, M.A. Ridao

Resumen

La microrred como elemento agregador de fuentes de generación, cargas y sistemas de almacenamiento de energía aparece como tecnología clave para dotar a los sistemas eléctricos de suficiente flexibilidad para una transición energética basada en fuentes renovables. Sin embargo, el problema de control para la gestión de energía se vuelve complejo cuando se incrementa el número de sistemas conectados a una misma microrred. De igual forma, se requiere flexibilidad para integrar a los vehículos eléctricos. La interacción entre las distintas microrredes y los vehículos hacen necesarias herramientas avanzadas de control para resolver el problema de optimización. El objeto del presente trabajo es presentar distintas herramientas de control predictivo basado en el modelo (Model Predictive Control, MPC) para resolver el problema de control asociado a este tipo de sistemas. En concreto, se abordan dos problemas: la conexión de vehículos eléctricos a la microrred y la interconexión de varias microrredes. Para el primer caso se analizan dos escenarios, según que el intercambio de energía sea uni o bidireccional y se presenta la forma de optimizar la operación usando MPC. En el segundo caso se aborda el problema usando técnicas de control distribuido.


Palabras clave

Microrredes; Control de recursos de energía renovable; Interacción dinámica de plantas de potencia; Control Predictivo; Sistemas Multi-Agente; Redes Inteligentes; Operación óptima y control de sistemas de potencia; Control inteligente de sistemas de

Clasificación por materias

Control predictivo basado en modelo; Control de sistemas distribuidos; Gestión y demanda energética: generación, conversión, distribución, almacenamiento, uso eficiente; Energías renovables; Redes inteligentes (Smart grids); Gestión energética y de almace

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