Optimizing Renewable Energy Integration: A Hybrid Solar and Wind-Powered Smart Grid Enhanced with IoT Monitoring

Recognizing the constraints associated with fossil fuels, there has been a growing emphasis on elevating the adoption of renewable energy systems. However, there are a number of difficulties with the grid integration of renewable energy sources in terms of system performance, stability, reliability, and power quality. Solar photovoltaic (SPV) systems establish intermittent quantities of power. Therefore, it is essential to accurately predict the incoming solar energy and calculate the electricity, which is produced by SPV systems and electrical quality. In this paper, an IOT-enabled hybrid solar and wind energy-based smart grid is proposed. The Landsman converter is employed, which has a great voltage gain ratio for determining the PV system’s maximum output. Utilizing DFIG as MPPT (Maximum Power Point Tracking) guarantees controlled output and makes it easier to get energy from a solar power system. A battery system as well as wind energy use a PI controller to provide energy management. The PV parameters are displayed by node-based MCU-based IOT systems. The hardware result for this study is implemented by using the NODE MCU WI-FI module as well as MATLAB simulation.