RT journal article
T1 Dynamic Energy Management System for Optimal Energy Dispatch in a Microgrid Cluster
A1 Carrasco González, David
A1 Sarrias Mena, Raúl
A1 Horrillo Quintero, Pablo
A1 Llorens Iborra, Francisco
A1 De la Cruz Loredo, Iván
A1 Ugalde-Loo, Carlos Ernesto
A1 Fernández Ramírez, Luis Miguel
A2 Ingeniería Eléctrica
A2 Ingeniería en AutomáticaElectrónica, Arquitectura y Redes de Computadores
K1 Energy management system
K1 Microgrid cluster
K1 Sequence quadratic programming algorithm
AB Microgrid clusters (MGCs) have the ability to enhance energy efficiency, resilience, and reliability of individualmicrogrids (MGs). By integrating different power generation, consumption, and storage technologies, MGCs can combine direct current (DC) and alternating current (AC) technologies, thus offering flexibility to MGs. However, suitable control systems for MGCs are required to manage their operation, ensuring robustnessand efficiency of the power dispatch. This work contributes to this effort by presenting and implementing a novel control approach for an MGC. The MGC consists of DC and AC MGs connected to a local electricity grid. The DC MG integrates a wind turbine, fuel cell, an electrolyzer, an ultracapacitor, and DC loads. In contrast,the AC MG integrates an electric battery bank, a photovoltaic generator and AC loads. The control system uses local controllers for each device in the cluster and a dynamic centralized energy management system to coordinate optimally energy dispatch and distribution among all energy storage systems. To assess thecontrol approach, fluctuating incident solar radiation and winds speed, and dynamic loads conditions are introduced in the system. The control system demonstrates robust behavior across the different simulation scenarios.
PB Renewable Energy and Power Quality Journal: ICREPQ'25
SN 978-84-09-66511-2
YR 2025
FD 2025
LK http://hdl.handle.net/10498/37580
UL http://hdl.handle.net/10498/37580
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