Intelligent Energy Management for a Building DC Nanogrid

Nowadays, the world is subject to the development of science and technology, transforming all the old systems into new and more efficient ones, and power grids are the perfect example of this development. Conventional power grids are a source of frequent problems, including line losses that cause instability in the distribution of electricity and a huge impact on the environment, causing damage related to climate change. Addressing these problems is seen as an action to achieve sustainable development goals, to ensure a better future. Energy plays a role in improving these goals, which makes automation a very important tool for establishing a more intelligent and reliable distribution. Among these solutions are DC nanogrids, which have the ability to generate energy using their own renewable resources, even in remote areas thanks to artificial intelligence. They can be automatically regulated to prevent energy shortages. This work aims to intelligently manage the distribution of energy produced by several renewable sources in a DC nanogrid. To solve this problem and to ensure a good energy management we have opted to use Fuzzy logic method as artificial intelligence element that controls the energy management in the nanogrid. The simulation results obtained from the proposed algorithm show that it is able to effectively manage the balance between the renewable energy power produced by the nanogrid without causing power imbalance or disruption of the overall system.