Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

Model Predictive Control of a Large Fleet of Thermal Loads and Electric Power Generators, with an Assessment for the Netherlands

Author(s):

G. Ledva, R. Vujanic, S. Mariéthoz, M. Morari, J. Frunt
Conference/Journal:

European Energy Market Conference, Royal Institute of Technology, Stockholm, pp. 1-8, 27 - 31 May
Abstract:

In this paper we propose a novel control architecture to manage a large fleet of thermal loads and adjust traditional power plant generation setpoints for reference tracking and production costs minimization. The time scales considered are determined by sampling times of a few seconds and control horizons of a few minutes. The control architecture consists in a model predictive controller (MPC) combined with a block called index generator. The index generator receives aggregated control signals from the MPC and splits these among individual loads while satisfying temperature and switching constraints of the controlled appliances. It then computes an updated estimate of the aggregated controllability of the loads and provides this to the MPC for setpoint calculations. This control architecture facilitates handling very large numbers of single thermal appliances and tens of traditional generation units with very small computational efforts. We assess the added value of controlling thermal loads by implementing our control architecture within a simulation framework which accurately represents the Dutch power system.

Year:

2013
Type of Publication:

(01)Article
Supervisor:



File Download:

Request a copy of this publication.
(Uses JavaScript)
% Autogenerated BibTeX entry
@InProceedings { LedEtal:2013:IFA_4435,
    author={G. Ledva and R. Vujanic and S. Mari{\'e}thoz and M. Morari and J. Frunt},
    title={{Model Predictive Control of a Large Fleet of Thermal Loads
	  and Electric Power Generators, with an Assessment for the
	  Netherlands}},
    booktitle={European Energy Market Conference},
    pages={1--8},
    year={2013},
    address={Royal Institute of Technology, Stockholm},
    month=may,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4435}
}
Permanent link