Publication

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

Journal Article (2023)

Journal

IEEE Latin America Transactions

Pages

1056-1062

Volume

21

Number

9

Doc link

https://doi.org/10.1109/TLA.2023.10251813

File

Download the digital copy of the doc pdf document

Abstract

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.

Categories

control nonlinearities, observability, storage automation.

Author keywords

Wind turbine , Redox flow battery , parameter estimation , persistence of excitation

Scientific reference

P. Fornaro, T.P. Puleston, P.F. Puleston, P. Battaiotto, R. Costa and M. Serra. Electric vehicle charging station based on wind energy: evaluation of the power profile for vanadium redox flow batteries estimation. IEEE Latin America Transactions , 21(9): 1056-1062, 2023.