An Intelligent Approach for MPPT Extraction in Hybrid Renewable Energy Sources

Abstract

A multi-source power system that integrates sustainable energy sources for power generation. MPPT, or Maximum Power Point Tracking, is a method employed to optimise the power generation of sources, such as solar panels or wind turbines. Since the efficiency of these sources can vary due to environmental conditions (like sunlight intensity or wind speed), MPPT algorithms optimize the electrical operational parameters of the modules to guarantee they are functioning at their highest efficiency. In the context of MPPT, fuzzy logic is used to handle the uncertainties and nonlinearities in the behaviour of these sources. It allows for a more adaptive and resilient control strategy, which can be particularly effective in fluctuating environmental conditions. When fuzzy logic is applied to MPPT in a hybrid power system, the goal is to intelligently manage and optimize the power output from various sources. This process involves continuously monitoring environmental factors and the performance of each power source. This integration of fuzzy logic into MPPT for hybrid power systems represents an advanced step in renewable energy management, making it possible to get the most out of these resources even under varying and unpredictable conditions.