Autonomous energy management system with self-healing capabilities for buildings (microgrids)

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.

Automated summary

This paper presents a smart control and energy management system for a DC microgrid that distributes demand among several generators. An energy management system (EMS) based on multi-agent system (MAS) controller is developed to manage energy, control voltage, and maintain balance between supply and demand in the system to support reliability. The proposed approach includes a self-healing hierarchical algorithm to control agent interaction and ensure system reliability under faults, providing a robust and stable control of the microgrid.