TY - JOUR
T1 - Autonomous energy management system with self-healing capabilities for green buildings (microgrids)
AU - Jonban, Mansour Selseleh
AU - Romeral, Luis
AU - Akbarimajd, Adel
AU - Ali, Zunaib
AU - Ghazimirsaeid, Seyedeh Samaneh
AU - Marzband, Mousa
AU - Putrus, Ghanim
N1 - Funding Information:
This research was supported by the Catalan Agència de Gestiód’Ajuts Universitaris i deRecerca , under the AGAUR 2017 SGR-00967 Research Project and by the British council under grant contract No: IND/CONT/GA/18–19/22 .
Publisher Copyright:
© 2020 Elsevier Ltd
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2021/2/1
Y1 - 2021/2/1
N2 - Nowadays, distributed energy resources are widely used to supply demand in micro grids specially in green buildings. These resources are usually connected by using power electronic converters, which act as actuators, to the system and make it possible to inject desired active and reactive power, as determined by smart controllers. The overall performance of a converter in such system depends on the stability and robustness of the control techniques. This paper presents a smart control and energy management of a DC microgrid that split the demand among several generators. In this research, an energy management system ( EMS) based on multi-agent system ( MAS) controllers is developed to manage energy, control the voltage and create balance between supply and demand in the system with the aim of supporting the reliability characteristic. In the proposed approach, a reconfigurated hierarchical algorithm is implemented to control interaction of agents, where a CAN bus is used to provide communication among them. This framework has ability to control system, even if a failure appears into decision unit. Theoretical analysis and simulation results for a practical model demonstrate that the proposed technique provides a robust and stable control of a microgrid.
AB - Nowadays, distributed energy resources are widely used to supply demand in micro grids specially in green buildings. These resources are usually connected by using power electronic converters, which act as actuators, to the system and make it possible to inject desired active and reactive power, as determined by smart controllers. The overall performance of a converter in such system depends on the stability and robustness of the control techniques. This paper presents a smart control and energy management of a DC microgrid that split the demand among several generators. In this research, an energy management system ( EMS) based on multi-agent system ( MAS) controllers is developed to manage energy, control the voltage and create balance between supply and demand in the system with the aim of supporting the reliability characteristic. In the proposed approach, a reconfigurated hierarchical algorithm is implemented to control interaction of agents, where a CAN bus is used to provide communication among them. This framework has ability to control system, even if a failure appears into decision unit. Theoretical analysis and simulation results for a practical model demonstrate that the proposed technique provides a robust and stable control of a microgrid.
KW - Energy management system
KW - Green building
KW - Microgrid
KW - Multi-agent system
KW - Self-healing
KW - Subsumption architecture
UR - http://www.scopus.com/inward/record.url?scp=85097479893&partnerID=8YFLogxK
U2 - 10.1016/j.jobe.2020.101604
DO - 10.1016/j.jobe.2020.101604
M3 - Article
SN - 2352-7102
VL - 34
JO - Journal of Building Engineering
JF - Journal of Building Engineering
M1 - 101604
ER -