Renewable Energy System Based on Cellular Base Stations Application

Due to the scarcity of electrical power in some regions, it is necessary to use a renewable energy source and transform this energy into electrical energy so that we can have energy continually with the fewest possible interruptions and failures. To get the most power out of the solar modules under variable load conditions despite variations in turbulence and uncertainties in temperature and other factors, the project is concerned with the design and implementation of an optimal, efficient, and robust control by optimizing the maximum power point tracking (MPPT) of the solar modules. The paper aims to analyze and simulate a hybrid energy management system that uses a variety of energy input sources to supply energy to loads at an optimal level while utilizing reliable management practices. The power sources are hybrid in nature, allowing us to use two energy-providing sources in backup mode at the same time. The first of these is a solar energy source, and the second is a wind energy source. One of the design goals of this study endeavor is to get the most output possible from various power sources using strategies, technological procedures, and systems. To efficiently and reliably extract the most significant amount of power from the source, a Fuzzy logic controller using the MPPT algorithm is designed and put into practice.