Stateflow based Modeling of Multi Agent System for Smart Microgrid Energy Management

The addition of highly intermittent and unpredictable renewable energy resources significantly changes the dynamics of the system. Therefore, the control strategies used in past decades for microgrid (MG) energy management are no longer applicable and need to be exchanged with recent control techniques. This paper proposes a multi agent system (MAS) platform and an architecture for the study of autonomous energy management in a MG. The proposed Stateflow platform is an environment which is used to model the decision logics and controls using the concept of flow charts and state machines. The proposed hybrid platform combines the strengths of Simulink with Stateflow's decision-making and reactive capabilities. The developed MAS has been tested on a real time MG, simulated in Simulink. The simulation results clearly show the effectiveness and applicability of the proposed MAS.