Energy Management of Microgrids Using Artificial Intelligent Control: A Review

Microgrids are small-scale electrical networks that may operate independently or connect to a larger power grid. A microgrid transforms the consumers into a new role i.e the role of prosumers. Therefore, the control systems are of the utmost importance when it comes to energy management in microgrid. The conventional control techniques are model dependent. In this article, the concepts of artificial intelligence are described may be used in hierarchical control mechanisms for the purpose of managing energy in microgrids. Control mechanisms arranged in a hierarchical system are a more recently developed idea. In particular, the focus is made on the methods in which these techniques can be implemented into hierarchical control systems. In this article, the application of AI methodologies are explored to microgrids network. Comparisons are made between a broad range of different artificial intelligence systems, each where is meant to accomplish different objective. The use of artificial intelligence in the management of microgrids has the potential to improve the performance.