A Fuzzy logic based power management system for an integrated AC-DC hybrid microgrid model

Recent development in Fuzzy logic control algorithm has led to the advancement of the existing smart grid technologies where it requires powerful control algorithm in an uncertain environment due to high penetration of the Renewable Energy Sources(RES). Due to the adaptive and human-like control decisions taken by Fuzzy Inference System (FIS), this would be much suitable to tolerate the uncertainties caused in multi-scenario operation of Micro Grid(MG). This paper presents an enhanced control methodology for a DC busbar in AC-DC hybrid MG with an agent based automated distribution system. A laboratory scaled MG which contains a few Dispersed Generators(DGs), a storage devices and a distribution system based on Multi Agent System(MAS) along with the protection system, advanced smart metering system and reliable communication methodology has been developed as a fully automated operating system in both grid connected and islanded modes for the purpose of governing better modes of control. This improvement in control needs to be simulated in the MATLAB/SIMULINK environment to ensure its capability to restore the disturbed situation prior to the hardware implementation.