Fuzzy Logic Controlled Photovoltaic system with IoT Technology

Due to its affordability and environmental sustainability, solar photovoltaic (PV) systems are gaining popularity as a source of renewable energy. These types of systems, however, deal with a number of issues, such as insufficient energy efficiency, unstable systems, and poor weather adaptation. Conventional control techniques, which are employed to monitor and manage PV systems, have drawbacks, including inadequate data processing capacity and not enough scalability. The Internet of Things (IoT) and fuzzy logic control (FLC) are used in this paper's unique technique to improve PV system monitoring and control in order to meet these difficulties. The FLC technique enhances the PV system output voltage and attains the maximum power point (MPP). Using FLC method, PV systems can be controlled more precisely and effectively, which boosts system stability and energy efficiency. Benefits of the suggested approach include increased flexibility and scalability to various PV system configurations, decreased energy costs, and decreased carbon emissions. This method could assist with the design of more environmentally friendly and energy-efficient systems and has potential uses in commercial as well as residential PV systems.