Optimized Incremental Conductance MPPT for Grid-Connected PV Systems with Battery and Supercapacitor Integration

This research paper presents an advanced grid-linked PV battery-supercapacitor System that utilizes the Modified Incremental Conductance (MINC) Maximum Power Point Tracking (MPPT) technique and compares its performance with traditional Perturb and Observe (P&O) and Incremental Conductance (INC) MPPT methods. The integration of a supercapacitor alongside the battery enhances the system's energy storage capability, enabling efficient handling of transient power demands and fluctuations. The MINC MPPT algorithm, with its adaptive step size and dynamic adjustment features, offers faster convergence and reduced oscillations around the Maximum Power Point (MPP), ensuring optimal energy extraction from the photovoltaic array. The comparative analysis highlights the superior tracking efficiency and stability of the MINC MPPT over the traditional P&O and INC algorithms, particularly under rapidly changing environmental conditions. Simulation results demonstrate that the MINC MPPT method significantly improves the overall performance and reliability of the grid-linked PV system, maximizing energy harvest and enhancing power quality. This study underscores the potential of the MINC MPPT in advancing the effectiveness of hybrid renewable energy systems and contributing to the development of more resilient and efficient grid-connected solutions.