System-Level Conceptual Analysis of Thermal Behavior in Solar Microgrids with Fuzzy Logic Perspective
Temperature control plays an important role in the performance of solar panel grids. At the system level, three key components are sensitive to thermal effects: solar panels, DC-DC converters, and storage batteries. In panels, increasing temperature reduces conversion efficiency, while in converters, it increases electrical losses and device stress, and in batteries, it accelerates capacity fade and shortens lifespan. Most research considers these effects in isolation. However, the thermal behavior of the grid is interconnected, and the heating of one element influences the performance of the others. This paper discusses temperature control strategies from a system-wide perspective by analyzing the sources of uncertainty and the ways thermal effects in one component influence others. Fuzzy logic is considered a possible solution for handling nonlinear behavior and overlapping operating conditions. The discussion highlights where thermal stress occurs in the grid and how more system-level control strategies may contribute to more effective temperature management in solar energy systems.