Electric vehicle charging station based on wind energy: evaluation of the power profile for vanadium redox flow batteries estimation

This paper considers an electric vehicle charging station based on the combination of a wind turbine, as a primary power source, and a vanadium redox flow battery (VRFB), as an energy storage system. The latter plays a key role in the application under study, storing the intermittent power produced...

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Detalles Bibliográficos
Autores: Fornaro, Pedro, Puleston, Thomas Paul|||0000-0003-3251-7533, Puleston, Paul Federico, Battaioto, Pedro, Costa Castelló, Ramon|||0000-0003-2553-5901, Serra, Maria|||0000-0002-9885-8093
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/400259
Acceso en línea:https://hdl.handle.net/2117/400259
https://dx.doi.org/10.1109/TLA.2023.10251813
Access Level:acceso abierto
Palabra clave:Wind turbines
Electric vehicles -- Batteries
Wind turbine
Redox flow battery
Parameter estimation
Persistence of excitation
Aerogeneradors
Vehicles elèctrics -- Bateries
Àrees temàtiques de la UPC::Enginyeria elèctrica
Descripción
Sumario:This paper considers an electric vehicle charging station based on the combination of a wind turbine, as a primary power source, and a vanadium redox flow battery (VRFB), as an energy storage system. The latter plays a key role in the application under study, storing the intermittent power produced by the turbine and timely dispatching it when demanded. To guarantee VRFB proper operation, it is necessary to have information regarding its internal parameters which, in general, cannot be directly measured. Therefore, this work analyses the feasibility of conducting a model-based estimation by studying a classic identifiability measure, the persistence of excitation. Special attention is given to the influence of the wind power profile, as well as the rated power of the turbine, on the performance of the estimation algorithms. It is demonstrated that increasing the wind energy conversion system nominal power might compromise the estimation results, provided that systems with higher inertia reduce the persistence of excitation levels.