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]

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

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 >

Language :

Anglais

Peer reviewed article :

Non

Audience :

Internationale

Popular science :

Non

Collections :

• Laboratoire d'Électrotechnique et d'Électronique de Puissance (L2EP) - ULR 2697

Research team(s) :

Équipe Réseaux

Submission date :

2020-05-15T13:26:57Z
2022-02-14T09:49:04Z
2022-03-16T13:57:33Z