Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-grid using Adaptive Fuzzy Logic Controller

Microgrods (MGs) are a flexible way to incorporate renewable energy sources into the grid. Micro grid (MG)offers a different way to generate electricity at the supply voltage level through installation of small distributed energy sources. Through their interconnection, the power electronics components contribute to MG's adaptability and dependability. Power quality issues are caused by grid's many non-linear, unbalanced loads. Intelligent controllers must be implemented to boost Micro-grid power quality, battery characteristics, MPPT for solar, wind power. Adaptive controllers are favoured in this study. By controlling charging, discharging of battery units in response to generation-demand mismatches, battery status, integrated micro-grids that make use of adaptive fuzzy logic controllers and fuzzy logic controllers can reduce frequency fluctuations. In this article, MPPT is achieved by the application of Petrurb & Observe (P&O), Incremental Conductance (IC) technique. The proposed model's dynamic behaviour is analysed over operational conditions. During grid isolation, measurements of solar irradiance, temperature, wind speed are taken from connected systems, calculations of actual, reactive power are made. The results are obtained by MATLAB/ SIMULINK.