Data Visualization for Optimization of Hybrid Microgrids in Dynamic Problems

The advancement of hybrid microgrid systems (HMGS) requires flexible optimization tools to handle the intermittency of renewable sources, as well as the presence of batteries in the system to store energy that exceeds demand. Different from conventional static approaches, this work presents an evolution of an interactive dashboard aimed at the dynamic simulation of HMGS using the C-DEEPSO algorithm. The main innovation lies in the approach based on dynamic optimization problems, allowing the researcher to intervene in the execution to adjust variables in real time. The solution, now mobile-friendly, uses integrated web technologies for data persistence. Experimental results demonstrate the robustness of the algorithm in the face of sudden changes in search constraints, maintaining convergence for the best possible fitness under new scenarios. The tool enhances decision-making by transforming passive visualization into an environment of active experimentation.