Robust multi-agent system for efficient online energy management and security enforcement in a grid-connected microgrid with hybrid resources

This study proposes a new multi-agent control system (MACS) for energy management in a microgrid (MG). Thelatter includes photovoltaic arrays and wind turbine generators as renewable energy resources. It also has microturbines, fuelcell units, and an energy storage system (ESS). The MACS determines the optimal active and reactive powers of thedispatchable energy resources. It also identifies the ESS charging/discharging times. The MACS supervises energymanagement among local distributed generators (DGs), main grid, and loads to maximise profit while satisfying all operationalconstraints. The MG collaborates in the electricity market. It purchases/sells active and reactive powers from/to the main grid.Furthermore, MACS dynamically corrects the possible voltage violations and eliminates line congestion using the coordinationof reactive power control. Agents at dispatchable DGs and ESS buses tackle the optimal economical operation. Other agentsregulate the nodes voltages and remove line congestions. A parallel computing-based full dynamic simulation model of theMACS and the MG power system is implemented. Moreover, the performance comparisons between the proposed MACS andrecent approaches are presented to evaluate the performance of MACS.