Journal of Engineering and Applied Sciences

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Comparative Study of Control Strategies for a Micro Grid DC System of Renewable Energy Sources

Oswaldo Rivera, Mauricio Mauledoux, Angie Valencia, Oscar Caldas and Oscar Aviles
Page: 2822-2829 | Received 21 Sep 2022, Published online: 21 Sep 2022

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Abstract

This study presents a comparative study of a Generalized Predictive Controller (GPC) with a classical Proportional-Integral-Derivative (PID) controller and the Model Predictive Controller (MPC). All these strategies are compared on their output response, steady state error, controller effort and disturbances rejection. These controllers were designed and evaluated to be implemented and work on a micro grid DC system located at the Universidad Militar Nueva Granada Campus in Cajica, Colombia. Disturbances in this study were predicted by Nonlinear Autoregressive with Exogenous Excitation Artificial Neuronal Networks Model (NARX).

How to cite this article:

Oswaldo Rivera, Mauricio Mauledoux, Angie Valencia, Oscar Caldas and Oscar Aviles. Comparative Study of Control Strategies for a Micro Grid DC System of Renewable Energy Sources.
DOI: https://doi.org/10.36478/jeasci.2019.2822.2829
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2019.2822.2829