Economic supervisory predictive control ...
Document type :
Article dans une revue scientifique: Article original
Permalink :
Title :
Economic supervisory predictive control of a hybrid power generation plant
Author(s) :
Dieulot, Jean-Yves [Auteur]
Colas, Frederic [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Chalal, Lamine [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dauphin-Tanguy, Geneviève [Auteur]

Colas, Frederic [Auteur]
13338|||Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]
Chalal, Lamine [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Dauphin-Tanguy, Geneviève [Auteur]
Journal title :
Electric Power Systems Research
Volume number :
127
Pages :
221-229
Publication date :
2015
ISSN :
0378-7796
English keyword(s) :
Economic model predictive control
Power system control
Supervisory predictive control
Renewable hybrid system
Hardware in the loop
Power system control
Supervisory predictive control
Renewable hybrid system
Hardware in the loop
HAL domain(s) :
Sciences de l'ingénieur [physics]/Energie électrique
English abstract : [en]
This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage ...
Show more >This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encompasses the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design.Show less >
Show more >This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encompasses the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design.Show less >
Language :
Anglais
Peer reviewed article :
Non
Audience :
Internationale
Popular science :
Non
Research team(s) :
Équipe Réseaux
Submission date :
2020-05-15T13:26:57Z
2022-02-14T09:49:04Z
2022-03-16T13:57:33Z
2022-02-14T09:49:04Z
2022-03-16T13:57:33Z
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