Research into and Assessment of the Efficiency of Innovative DC-DC Converters with a Single Switch for Use in DC Microgrids

Last Words and Point of View The results show that the PI controller optimized by GWO has better performance than traditional PI controller in static and dynamic environment. The GWO optimized controller is found to be better than the conventional PI controller in all the aspects including inductor current, output voltage and output current. Its many advantages include shorter rising time, greater damping, less overshoot and less ripple. The GWO technique has greater parameter optimization. So the system stabilizes faster with less oscillations and less steady-state inaccuracy. The results indicate that GWO can be applied to find optimal controller gains in dynamic systems like power electronic converters. The GWO-based PI controller has better performance in terms of stability, accuracy, and lifespan than the conventional PI tuning methods. It enhances performance by greater exploration of the solution space and better control of the solution space to avoid local optima. This makes it well-suited for applications that require reliable performance. Also, the GWO based modified PI controller has better adaptation to change of operating conditions and disturbance rejection. The results indicate the potential applicability of GWO optimized PI controllers for power electronic systems in general.  Potential aims for the future We have pointed out several possible directions for further research on this topic. The easiest way to identify the optimal controller tuning strategy for different operating scenarios is to compare the performance of GWO with other powerful optimization algorithms such as PSO, ABC, DE or hybrid swarm-intelligence methods. Adaptive or self-tuning GWO-controllers may increase real-time performance in the presence of varying loads and disturbances. You can also try adding a microcontroller or field-programmable gate array (FPGA) to the controller, or you can test it in a hardware-in-the-loop (HIL) environment to make sure it works properly in the real world. Optimizing across numerous targets can give greater knowledge regarding controller design.  Such goals include, for example, temperature limits, efficiency, ripple and dynamic response. Finally, the technique can be tested on systems with nonlinear, multivariable or grid-connected converters, to assess its performance on increasingly complicated power electronics tasks and its scalability.

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