Design of intelligent control for stabilization of microgrid system

• This paper proposes a design of the intelligent control for stabilization of microgrid system.
• This MG system can effectively extract the maximum power from the wind and PV energy sources.
• Simulink was used to build the dynamic model and simulate the hybrid power MG system.
• The voltage and power can be well-controlled in this MG system under various conditions.

This paper proposes a design of robust intelligent control for stabilization of grid-connected microgrid (MG) system, consisting of photovoltaic (PV), wind power (WP), and fuel cell (FC). Since intermittent power generations from WP and PV sources are unpredictable and variable, these result in power fluctuations in a MG. To stabilize power fluctuations, an intelligent controller was proposed, which consists of the modified general regression neural network (GRNN) and the radial basis function network-sliding mode (RBFNSM) for stabilization control of microgrids incorporating PV and wind generation. With proper control, a distribution static var compensator (SVC) integrated with MG is able to significantly enhance the dynamic security of the power system. Simulation studies have been done to verify the performance and robustness of the proposed method against various loading conditions and it is found that the designed control scheme enhances the stability.