A COMPARATIVE STUDY OF ADVANCED CONTROL STRATEGIES FOR INTERLINK CONVERTERS IN HYBRID RENEWABLE ENERGY MICROGRIDS

This paper derives a novel direct model predictive based power controller (DMPPC) for renewable energy systems (RES) to address voltage fluctuations caused by varying power demands and renewable source outputs. This method utilizes the bi-directional DC-DC converter in the Battery Energy Storage (BES) System to level the renewable energy output, also maintain DC bus voltage stability, with the assistance of fuzzy decision making. Based upon grid necessities and the BES system’s state of charge, the controller controls an AC/DC interlinking converter to ensure consistent AC potential and appropriate power exchange with the utility grid. This paper presents an enhanced model predictive controller with an objective function based on fuzzy objectives and limitations that dynamically adapts to external circumstances, instead of utilizing a layered control structural design for BES planning and grid control. With the aid of simulation models created with Matlab Simulink, the suggested controller's operability is confirmed. This approach demonstrates excellent reference tracking performance with minimal Total Harmonic Distortion (THD) with both non-linear as well as linear loads. This article presents the development of a basic hybrid microgrid prototype.