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Conference Papers Year : 2021

Model Predictive Control Modular Approach for Multi-Source System Management

Philippe Fiani
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  • PersonId : 982306
Emmanuel Godoy
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  • PersonId : 1055594
Cristina Vlad

Abstract

This paper presents a modular approach to model and control multi-source systems or networks. This method derives from an energy-based modeling approach called functional modeling in which predictive functional control algorithms have been implemented. A concept of cost function is introduced and associated to each source. The design of the control has several objectives: remain as generic as possible, satisfy the needs from the consumers and distribute flows in order to minimize the cost functions. This methodology is applied to a use case consisting in the management of an isolated production unit composed of a wind power plant and a backup battery. The system is modeled and controlled in order to ensure the active power balance between consumers needs and sources supplies.
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Dates and versions

hal-03946310 , version 1 (19-01-2023)

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Baptiste Boyer, Philippe Fiani, Guillaume Sandou, Emmanuel Godoy, Cristina Vlad. Model Predictive Control Modular Approach for Multi-Source System Management. 9th IEEE International Conference on Smart Energy Grid Engineering, Aug 2021, Oshawa, Canada. ⟨10.1109/sege52446.2021.9534997⟩. ⟨hal-03946310⟩
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