Journal
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
Volume 95, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.engappai.2020.103894
Keywords
Artificial neural networks; Distributed generation; Microgrids; Control
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Funding
- National Council of Science and Technology (CONACYT), Mexico [710033]
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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.
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