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Economic supervisory predictive control of a hybrid power generation plant

Article dans une revue avec comité de lecture
Author
DIEULOT, Jean-Yves
DAUPHIN-TANGUY, Geneviève
120930 Centrale Lille
CHALAL, Lamine
410272 Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
COLAS, Frédéric
13338 Laboratoire d’Électrotechnique et d’Électronique de Puissance - ULR 2697 [L2EP]

URI
http://hdl.handle.net/10985/11354
DOI
10.1016/j.epsr.2015.06.006
Date
2015
Journal
Electric Power Systems Research

Abstract

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 encom- passes 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.

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