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Economic model predictive control for the energy management..:

, In: 27th International Conference on Electricity Distribution (CIRED 2023),

Santosuosso, L. ; Camal, S. ; di Giorgio, A.... - p. None , 2023

Link: https://doi.org/10.1049/icp.2023.1160

RT 
T1 <cTitle>27th International Conference on Electricity Distribution (CIRED 2023)</cTitle>: T1 <Title>Economic model predictive control for the energy management problem of a virtual power plant including resources at different voltage levels</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10267715&Exemplar=1&LAN=DE
				
A1 Santosuosso, L.
A1 Camal, S.
A1 di Giorgio, A.
A1 Liberati, F.
A1 Michiorri, A.
A1 Bontron, G.
A1 Kariniotakis, G.
YR 2023
K1 distributed power generation
K1 energy management systems
K1 hydroelectric power stations
K1 optimisation
K1 power generation economics
K1 power generation scheduling
K1 power markets
K1 predictive control
K1 profitability
K1 renewable energy sources
K1 virtual power plants
K1 aggregation
K1 ancillary services
K1 complex technical constraint
K1 DER
K1 Distributed Energy Resources
K1 diversified energy resources
K1 Economic model predictive control
K1 Economic Model Predictive Control
K1 electricity markets
K1 energy management problem
K1 energy sector
K1 French aggregator Compagnie Nationale du Rhône
K1 generic model
K1 High-Voltage grid
K1 huge penetration
K1 hydropower stations
K1 joint energy
K1 Medium-Voltage grids
K1 real-time control
K1 safety constraints
K1 sustainable energy system
K1 two-level sequential VPP energy management strategy
K1 variable Renewable Energy Sources
K1 virtual power plant
K1 VPP profit maximization
K1 VPP resources
SP None
LK http://dx.doi.org/https://doi.org/10.1049/icp.2023.1160
DO https://doi.org/10.1049/icp.2023.1160
SF ELIB - SuUB Bremen

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