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Une approche de commande prédictive hiérarchique pour traiter la puissance appelée en utilisant des systèmes de batterie.

A hierarchical model predictive control approach for handling demand charges using battery systems.

Numéro : pap. 3186

Auteurs : KUMAR R., WENZEL M. J., ELLIS M. J., et al.

Résumé

Applications in energy systems often require to simultaneously mitigate long-term and short-term electricity costs. Demand charges, in particular, constitute an important component of the electricity bills for large consumption units such as buildings and manufacturing plants. Mitigating long-term and short-term costs poses a challenging multiscale planning problem that should make decisions at fine timescales and over long time horizons. This work presents a hierarchical model predictive control (MPC) approach to tackle this problem in the context of stationary battery systems. The goal is to determine the optimal charge-discharge policy for the battery to minimize hourly costs and a monthly demand charge. In the proposed hierarchical MPC approach, the state of charge (SOC) policy is assumed to be periodic, which allows to cast the long-term planning problem as a tractable stochastic programming problem. Here, every period (e.g., a day or week) represents an operational scenario and the targets for the periodic SOC levels and the peak cost are to be determined. The long-term planner MPC communicates the periodic SOC targets and maximum peak level to a short-term MPC controller. The short-term MPC controller determines the intra-period charge/discharge policies (at high resolution) while meeting the targets of the long-term planning. A simulation case study for a university campus is presented to demonstrate that the hierarchical MPC scheme yields optimal demand charge and charge-discharge policy under nominal (perfect forecast) conditions. Comparative studies of the proposed hierarchical MPC scheme and standard MPC schemes that use ad-hoc approaches to handle demand charges are also presented. Under imperfect forecasts, the simulations show that the hierarchical MPC scheme results in significant improvements in demand charge reduction over a standard MPC scheme that uses a discounting factor to capture long-term effects.

Documents disponibles

Format PDF

Pages : 11

Disponible

  • Prix public

    20 €

  • Prix membre*

    15 €

* meilleur tarif applicable selon le type d'adhésion (voir le détail des avantages des adhésions individuelles et collectives)

Détails

  • Titre original : A hierarchical model predictive control approach for handling demand charges using battery systems.
  • Identifiant de la fiche : 30024741
  • Langues : Anglais
  • Source : 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Date d'édition : 09/07/2018

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