What is it about?
This paper proposes a neuronal model for the identification of both modes of operation of a battery (charge-discharge). Based on this model, a control algorithm is proposed for the current that comes from or is applied to the battery.
Featured Image
Why is it important?
This scheme facilitates the design of a single controller instead of designing a controller for each mode of operation, which is the form that is normally performed.
Perspectives
The controller will be incorporated into a microgrid completely controlled by neural networks to validate its performance.
Riemann Ruiz-Cruz
Instituto Tecnologico y de Estudios Superiores de Occidente
Read the Original
This page is a summary of: Real-Time Implementation Battery Bank Charge-Discharge Based on Neural Inverse Optimal Control, IET Renewable Power Generation, October 2019, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-rpg.2019.0581.
You can read the full text:
Contributors
The following have contributed to this page
