Model Predictive Control Modular Approach for Multi-Source System Management - CentraleSupélec
Conference Papers Year : 2021

Model Predictive Control Modular Approach for Multi-Source System Management

Philippe Fiani
  • Function : Author
  • PersonId : 982306
Guillaume Sandou
Emmanuel Godoy
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.
Fichier principal
Vignette du fichier
ModelPredictiveControlModularApproachForMultiSourceSystemManagement.pdf (3.02 Mo) Télécharger le fichier
Origin Files produced by the author(s)

Dates and versions

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

Identifiers

Cite

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⟩
35 View
54 Download

Altmetric

Share

More