Electric Vehicle Charging Station Based on Wind Energy: Evaluation of the Power Profile for Vanadium Redox Flow Batteries Estimation

Authors

Keywords:

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

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.

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Author Biographies

Pedro Fornaro, Instituto LEICI, Fac. de Ingeniería/UNLP - CONICET, La Plata, Bs.As., Argentina

Pedro Fornaro was born in Tandil, Bs. As., Argentina. In 2016 he obtained his Electronic Engineer title from the Universidad Nacional de La Plata, and in 2023 he obtained his PhD in engineering from the same institution. Currently and since 2022 he is Associate Professor of Control Theory for the Universidad Tecnológica Nacional -- Facultad Regional La Plata. He also develops his research activities at the Instituto LEICI, particularly focusing on modelling, parameter estimation, observer and controllers design for energy storage and renewable energy-based systems.

Thomas Puleston, Institut de Robòtica i Informàtica Industrial (IRI)/CSIC - UPC, 08028, Barcelona, Spain

Thomas Puleston was born in La Plata, Argentina. In 2019 he obtained his Chemical Engineering degree from Universidad Nacional de La Plata. He is currently studying for a PhD in Automatics at IRI Institute, Universitat Politècnica de Catalunya, Spain. His research is focused on modelling, estimation and control of electrochemical energy storage systems.

Paul Puleston, Instituto LEICI, Fac. de Ingeniería/UNLP - CONICET, La Plata, Bs.As., Argentina

Paul Puleston received the Electronic Engineering (Hons.) and Ph.D. degrees from the Universidad Nacional de La Plata (UNLP), Argentina, in 1988 and 1997, respectively. He is currently Full Professor of Automatic Control at the EE Dept., Facultad de Ingeniería, UNLP,  and Principal Researcher with the CONICET, at the LEICI Institute, UNLP-CONICET. His current research interests include automatic control systems, theory and applications.

Pedro Battaiotto, Instituto LEICI, Fac. de Ingeniería/UNLP - CONICET, La Plata, Bs.As., Argentina

Pedro E. Battaiotto obtained his degree in Telecommunications Engineering from the Universidad Nacional de La Plata in 1977. He has been involved in multiple activities as an associated researcher in large-scale projects, having participated in the CERN laboratory and the Microprocessor Laboratory - ICTP - INFN, Trieste, Italy. Since 1990, he has been working on "Power Control Strategies for Renewable Energy-Based Power Generation Systems" at the LEICI Institute of the Facultad de Ingeniería, UNLP-CONICET.

Ramon Costa-Castelló, Institut de Robòtica i Informàtica Industrial (IRI)/CSIC - UPC, 08028, Barcelona, Spain

Ramon Costa-Castelló was born in Lleida, Catalunya, España in 1970. He obtained a master's degree in computer science in 1993 from the Facultat d’Informàtica de Barcelona (FIB) from the Universitat Politècnica de Catalunya (UPC), in 2001 he obtained the PhD degree in computer science Currently, he is an Associate Professor at the Automatic Control department (ESAII).

Maria Serra-Pratt, Institut de Robòtica i Informàtica Industrial (IRI)/CSIC - UPC, 08028, Barcelona, Spain

Prof. Maria Serra (graduate in Physics, 1995, PhD in Chemical Enginnering, 2000) is Associate Professor of the Automatic Control Department at Universitat Politècnica de Catalunya since 2008. She is currently the Head of the Automatic Control Group in the Insitut de Robòtica i Informàtica Industrial (IRI). Her research interests are modeling and control of complex systems, focusing on energy generation and fuel-cell systems.

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Published

2023-09-12

How to Cite

Fornaro, P., Puleston, T., Puleston, P., Battaiotto, P., Costa-Castelló, R., & Serra-Pratt, M. (2023). 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. Retrieved from https://latamt.ieeer9.org/index.php/transactions/article/view/8053

Issue

Section

Special Issue on Sustainable Energy Sources for an Energy Transition