Intelligent Control Algorithm for Power Balance Between Microgrids

Abstract

Microgrid clusters are becoming increasingly popular owing to their many benefits and their ability to meet human needs in terms of energy flexibility, security, and integration of renewable sources. They are composed of interconnected microgrids with a variety of power generation sources, loads, and storage devices. Microgrid clusters can also combine DC and AC technologies, even within a single microgrid. In this work, a new energy management system is developed for a microgrid cluster consisting of two microgrids connected to the main grid. The proposed energy management system, acting as the centralized control layer in the microgrid cluster, is based on a fuzzy-logic algorithm. The microgrid cluster consists of an AC microgrid integrating a photovoltaic generator, a battery bank and AC loads; and a DC microgrid composed of a wind turbine, electrolyzer, ultracapacitor, fuel cell and DC loads. The microgrid cluster is tested under different working conditions, such as variable wind speed and solar irradiance, and connection and disconnection of the loads. Finally, the energy management system implemented in the microgrid cluster exhibits a correct behaviour under different conditions, according to the results obtained.