The 2nd International Conference on Green Energy Conversion Systems
September 29- October 1, 2023, Djerba, Tunisia
The 2nd International Conference on Green Energy Conversion Systems
September 29- October 1, 2023, Djerba, Tunisia
Flatness based control of an islanded electrical network with green sources: photovoltaic panels and others
Presenter: Pr. J.P Barbot
For reasons of remoteness and/or security, it is sometimes necessary to design an islanded electrical network. Today, the use of green energy sources is a priority and the photovoltaic panel (P.V).is one of the solutions to ensure good availability, if coupled with storage elements. In this talk, the networking of several energy sources including PV is studied using the flatness concept. In particular, it is shown, that a semi-decentralized approach is appropriate in the considered case of a DC bus network.
Wind energy: a field of application for adaptive robust control
Presenter: Pr. F. Plestan
The presentation will present recent results of advanced control strategies to wind energy systems. The used control strategies are mainly based on the theory of sliding modes coupled with gain adaptation, their interest being to be efficient in the presence of uncertainties, disturbances while requiring a very reduced knowledge of the model. The presented solutions are applied to different types of wind turbines (floating, bi-rotor), and results of simulations/experimentations will show the interest of these control approaches.
Estimation of state of charge of lithium batteries, state of the art and model based approach
Presenter: Dr. M. A. Hamida
To extend its lifespan, Li-Ion batteries need to be monitored and managed by battery management system (BMS). However the later requires a precise information about the state of charge (SOC) of Li-Ion batteries which is non-measurable information. The SOC is also an important information for an optimized energy management strategy in electric vehicle systems. Because of that serval research have been conducted to have an accurate estimation of the state of charge of Li-Ion batteries. In this presentation, the state of the art of the SoC estimation will be presented and then an online estimation approach based on nonlinear observers will be introduced.