Authors

Thanh Hung Pham, Ionela Prodan, Denis Genon-Catalot, Laurent Lefèvre

Abstract

This paper considers a discrete-time scheduling method for the power balancing of a continuous-time DC microgrid system. A high-order dynamics and a resistor network are used for modelling the electrical storage unit and the DC bus of the centralized microgrid system, respectively. A PH (Port-Hamiltonian) formulation on graphs is employed to explicitly describe the microgrid topology. This modelling approach allows us to derive a discrete-time model which preserves the power and energy balance of the physical system. Next, a constrained economic MPC (Model Predictive Control) using the proposed control model is formulated for efficiently managing the microgrid operation. The systematic combination of the network modelling method and optimization-based control allows us to generate the appropriate power profiles. Finally, the benefits of the proposed approach are validated through simulation and comparison results over a particular DC microgrid elevator system under different scenarios and using real numerical data.

Keywords

dc microgrid, model predictive control, port-hamiltonian systems on graphs

Citation

  • Journal: International Journal of Electrical Power & Energy Systems
  • Year: 2020
  • Volume: 118
  • Issue:
  • Pages: 105753
  • Publisher: Elsevier BV
  • DOI: 10.1016/j.ijepes.2019.105753

BibTeX

@article{Pham_2020,
  title={{Economic constrained optimization for power balancing in a DC microgrid: A multi-source elevator system application}},
  volume={118},
  ISSN={0142-0615},
  DOI={10.1016/j.ijepes.2019.105753},
  journal={International Journal of Electrical Power \& Energy Systems},
  publisher={Elsevier BV},
  author={Pham, Thanh Hung and Prodan, Ionela and Genon-Catalot, Denis and Lefèvre, Laurent},
  year={2020},
  pages={105753}
}

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