RT conference output
T1 Intelligent Control Algorithm for Power Balance Between Microgrids
A1 Carrasco González, David
A1 Sarrias Mena, Raúl
A1 Horrillo Quintero, Pablo
A1 Llorens Iborra, Francisco
A1 Fernández Ramírez, Luis Miguel
A2 Ingeniería Eléctrica
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Energy management system
K1 Fuzzy-logic
K1 Microgrid clusters
AB 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.
PB IEEE
SN 9798350357974
YR 2024
FD 2024
LK http://hdl.handle.net/10498/34006
UL http://hdl.handle.net/10498/34006
LA eng
NO This work was partially supported by Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación, FEDER, UE (Grant PID2021-123633OB-C32 supported by MCIN/AEI/10.13039/501100011033/FEDER, UE).
DS Repositorio Institucional de la Universidad de Cádiz
RD 10-may-2026