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.

中文翻译：

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微电网中的人工神经网络：综述

在这项工作中，表明了人工神经网络具有某些特性，这些特性使它们在微电网必须包括的经济，高效且能够满足能源质量和数量要求的不同控制级别的控制器开发中具有优势。本文的目的是引起人们的关注，人工神经网络在微电网分布式发电源的控制以及调度，功率共享，监督控制和优化中的应用前景广阔。