This study presents a dual approach for improving the performance of small-scale Smart Grid systems under varying operating conditions. First, a dynamic reconfiguration method is proposed to address partial shading in solar panel arrays. By employing a switching matrix and adaptive control signals, the array can be reconfigured in real time to mitigate mismatch losses and enhance energy capture. Simulation results in Matlab/Simulink show that, for a four-panel configuration, dynamic switching can yield a power increase of up to 6.33% at specific instances and an overall gain of 1.5% over the entire operating period. Second, a dynamic battery switching system is introduced to optimize the state of charge (SOC), depth of discharge (DOD), and maintenance schedules in parallel-connected battery modules. This approach ensures reliable load supply by matching discharge durations to the forecasted energy shortfall and balancing usage among individual batteries. Modeling demonstrates that incorporating Peukert?s effect into the battery selection process improves the accuracy of power delivery predictions while reducing the number of deep charge-discharge cycles that degrade battery health. Taken together, these findings highlight how dynamic topology switching for both solar panel arrays and battery banks can boost energy efficiency, extend component lifetimes, and provide a more resilient Smart Grid solution.