Autonomous energy management system with self-healing capabilities for green buildings (microgrids). (February 2021)

• Record Type: Journal Article
• Authors: Jonban, Mansour Selseleh; Romeral, Luis; Akbarimajd, Adel; Ali, Zunaib; Ghazimirsaeid, Seyedeh Samaneh; Marzband, Mousa; Putrus, Ghanim
• Is Part Of: Journal of building engineering. Volume 34(2021)
• Publication Date: 2021-02
• Subjects: Energy management system -- Multi-agent system -- Self-healing -- Subsumption architecture -- Microgrid -- Green building; Building -- Periodicals; 690.05
• DOI: 10.1016/j.jobe.2020.101604
• Languages: English
• ISSNs: 2352-7102

Abstract

Abstract: Nowadays, distributed energy sources are widely used to supply demand in micro grids (MGs) especially in the green buildings. Despite increasing number of intermittent distributed energy resources, MGs have essential influence on decreasing use of conventional generation, but it give rise to new challenges in terms of energy management, stability and reliability of system. Multi-agent systems (MASs) as distributed smart units have been widely used recently. However, control and implementation of these smart structures enhance existing challenges because these units need a framework that, at first, guarantees operation of MASs and then insures management in generation and demand side. This paper presents a smart control and energy management of a DC microgrid that split the demand among several generators. An energy management system (EMS) based on multi-agent system (MAS) controller is developed to manage energy, control the voltage and create balance between supply and demand in the system with the aim of supporting reliability characteristic. In the proposed approach, a self-healing hierarchical algorithm is implemented to control interaction of agents and also guarantees reliability of smart control system under faults. Theoretical analysis and simulation results for a practical model demonstrate that the proposed technique provides a robust and stable control of a microgrid. Highlights: A multi-agent system comprising of several individual agents will be used to control and allocate tasks in the system. A hierarchical algorithm will be designed whereas any agent separately operates taking into account its own constrains. The following objectives are supposed to achieve: An online smart energy management framework will be proposed to support balance between supply and demand without any pro-processing and scheduling day-ahead. A self-healing algorithm is proposed to control agents. In proposed approach, subsumption architecture designed by Brooks is modified in order to overcome rigid separation among layers.