Intelligent Load Management of a Grid Integrated Microgrid System using Icos $\Phi$ controller

Lack of predictability of renewable energy sources (RES) used like the solar and wind energy plants have led to operational challenges associated with the electric power grid in places like India. Power sharing results in economic integration of the microgrid with the main grid and management of an intelligent power flow in the system. A 3 phase AC grid is considered as the primary energy source. Photovoltaic (PV) based microgrid is integrated with the conventional grid. Presence of nonlinear loads disturbs grid stability and power quality. In smart microgrid system intelligent controllers are proposed to ensure improved management of power flow and hence maintain power balance. Different parameters are fed to a knowledge-based controller for better power sharing among the microgrids and between the main grid and the microgrid. Various parameters such as Source Current, Season, Load Demand etc. are fed into the intelligent controller. Power sharing is ensured, and power flow is made to happen between the microgrid and the conventional grid using a knowledge-based controller. Power quality improvement of the combined model can be achieved. Cancelling out the harmonics and providing compensation for any unbalance in the system are the functions provided by the active filter (AF). For improving the integration of microgrid by resolving power quality issues, simulation is done in MATLAB/SIMULINK.