IoT based Wind Energy System Monitoring for Maximum Power Generation

In order to address the growing energy crisis, wind energy is employed as a substitute source of energy. Highly exposed locations are used to build wind farms. Therefore, people must travel to that specific spot to fix small problems as it occurs. It needs a lot of effort and time and has significant financial challenges. The Internet of Things (IoT) idea can be used to get around these constraints. This study proposes a wind energy conversion system (WECS) employing a maximum power point tracking (MPPT) controller with incremental conductance (IC) for maximum power generation. IoT application is used for the system's real-time monitoring, such as turbine speed, wind speed, direct current (DC) bus voltage, amount of generated power and temperature. Additionally, IoT has integrated a wide range of different sensors for measuring wind characteristics. The PIC microcontroller is used in this system and the WECS model is simulated in MATLAB. The proposed IoT based monitoring system proves that it improves monitoring precision, quality assurance, and the reliability of measuring method.