Artificial Intelligence as a Technology for the Management of Isolated Microgrids

Abstract

The current electrical energy systems aim to guarantee greater reliability, safety, and energy efficiency, promoting environmental benefits, integrating renewable sources of distributed energy. These solutions are obtained by incorporating Artificial Intelligence, by virtue of the current development of this technology to have "more intelligent" electrical energy networks. A review of the different aspects of technology for the Management of Isolated Microgrids is presented, identifying the trends, problems, and challenges, with their characteristics, functionalities, and their implementations. For the organization and analysis of the information, all the documentation was grouped by theme and artificial intelligence contributions in the areas of energy consumers, photovoltaic systems, distributed generation systems, energy storage systems, electrical protection system, management energy, among others; Selectivity criteria were applied to identify the most relevant elements. A high correlation is observed between benefits and AI adoption levels. Through the application of approaches and analysis of technology for the management of isolated microgrids. Concluding that different artificial intelligence techniques can improve the planning of users' electricity needs and intelligent energy management solutions, incorporating renewable energy sources, as well as more accurate prediction and forecasting of energy consumption.