Optimal sizing and control of energy storage systems for the electricity markets participation of intelligent photovoltaic power plants Andoni Saez de Ibarra Martinez de Contrasta
THÈSE
Pour obtenir le grade de
DOCTEUR DE LA COMMUNAUTE UNIVERSITE
GRENOBLE ALPES
Spécialité : Génie Electrique
Dimensionnement et contrôlecommande
optimisé des systèmes
de stockage énergétique pour la
participation au marché de
l'électricité des parcs
photovoltaïques intelligents
Thèse soutenue publiquement le 7 octobre 2016,
devant le jury composé de :
M. Cristian NICHITA
Professeur à l’Université Le Havre, Président
M. Bruno BURGER
Fraunhofer ISE, Rapporteur
M. Luis MARTINEZ SALAMERO
Professeur à l’Universitat Rovira i Virgili, Rapporteur
M. Ionel VECHIU
Professeur à l’ESTIA, Rapporteur
M. Seddik BACHA
Professeur à l’Université Grenoble Alpes, Directeur de thèse
M. Vincent DEBUSSCHERE
Maître de Conférences Grenoble INP, Co-encadrant de thèse
M. Aitor MILO
IK4-IKERLAN Technology Research Centre, Co-encadrant de thèse
Mme. Haizea GAZTAÑAGA
IK4-IKERLAN Technology Research Centre, Examinatrice
M. Tuan TRAN QUOC
CEA-INES, Invité
The present PhD deals with the integration of intelligent photovoltaic (IPV) power plants
in the electricity markets in an environment subject to free competition. The IPV power
plants are those that include energy storage systems to reduce the variability and to provide
the entire group a controllability increase. These technical objectives are obtained thanks to
the bidirectional exchanging and storing capability that the storage system contributes to, in
this case, battery energy storage system (BESS). In order to obtain the maximum profitability
of the BESS, the sizing must be optimized together with the control strategy that the BESS
will be operated with. In the present PhD, once the most performing battery energy storage
technology has been selected, the lithium-ion technology, an innovative IPV power plant
electricity market participation process is proposed which optimizes both the sizing and the
energy management strategy in the same optimization step. This optimization process
together with the electricity market participation has been applied in a real case study,
confirming that this procedure permits to maximize the economic profitability of this type of
generation.
Keywords: photovoltaic power plant, energy storage system, grid, optimization,
electricity markets, sizing, energy management strategy.
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