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Model Predictive Control for Cooperative Energy Management at City-District Level

This work presents the design and application of Model Predictive Control (MPC) for an energy management concept at city district level. Even though MPC has gained popularity for smart grids and demand side management programs, it is mainly used at building level for the coordination of smart devices and for the control of climate in buildings. Here, we present the application of MPC as a method to find an optimal combination of buildings with a heating system as dispatch resources in order to compensate schedule deviations. We review the significance of several performance aspects and offer a novel approach to handle variations, which evolve due to forecast errors and stochastic user behavior. Performance indicators such as deviation remainder and number of switching events are put into context and the eligibility of MPC for the application at aggregator level for energy management at city district level is demonstrated.

Author(s):

Ivelina Stoyanova    
RWTH Aachen
Germany

Imen Jendoubi    
RWTH Aachen
Germany

Antonello Monti    
RWTH Aachen
Germany

 

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