flexibility; water distribution network; model predictive control
Abstract :
[en] Flexibility, and in particular, energy storage is expected to assume a key role in the efficient and secure operation of the power system, and thus, in the transition towards a carbonfree electricity sector. In this paper, we propose a methodology for exploiting the flexibility existing in water distribution systems from water storage in reservoirs. The methodology relies first on a modelling approach, from which an optimization problem is
defined. The resolution of this optimization problem leads to an operating pattern for the pumps. The methodology assumes that all the electricity is bought on the day-ahead market, where the bids are placed by constructing and solving an optimization problem. The uncertain water consumption and the electricity market prices are predicted using machine learning techniques.
The methodology is tested on a real-life water distribution network in Belgium and the results.
Disciplines :
Energy Computer science
Author, co-author :
Boukas, Ioannis
Burtin, Elodie
Sutera, antonio
Gemine, Quentin
Pevee, Bernard
Ernst, Damien ; Université de Liège - ULiège > Département d'électricité, électronique et informatique (Institut Montefiore) > Smart grids
Language :
English
Title :
Exploiting the flexibility potential of water distribution networks: A pilot project in Belgium
Publication date :
May 2023
Journal title :
IEEE Transactions on Smart Grid
ISSN :
1949-3053
Publisher :
Institute of Electrical and Electronics Engineers, United States - New Jersey
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