MAS energy management of a microgrid based on fuzzy logic control

This paper proposes a design and implementation of an autonomous multi agent system (MAS) for optimal micro grid (MG) scheduling energy control based on fuzzy logic decision. The complexity of climate makes renewable energy source included in a micro grid, difficult to be scheduled with traditional energy sources in centralized system. Furthermore the scheduling depend on energy sources constraints and market price changing extend the environment uncertainty and imprecision. The proposed approach is designed in order to satisfy load while trying to optimize the total operating cost. The micro grid considered in this paper consists of a wind turbine (WT), a photovoltaic (PV), a fuel cell (FC), micro turbine (MT) and battery storage. A detailed multi agent system based on fuzzy logic control demonstrates its reliability in meeting all the requirements of the system. The result analysis shows that the proposed method is beneficial to handle the problem of scheduling energy through micro grid better than centralized system.