Artificial neural networks in microgrids: A review

Abstract

In this work it is shown that artificial neural networks have certain characteristics that make them advantageous in the development of controllers in the different levels of control that microgrids must include to be economic, efficient and able to satisfy the energy power quality and quantity requirements. An objective of this paper is to bring attention to the promising applicability of artificial neural networks applied to the control of microgrid distributed generation sources, as well as in scheduling, power sharing, supervisory control and optimization.