IoT Monitoring for Grid Voltage Regulation Using Model Predictive Control in Wind Systems

This research provides a novel approach for achieving efficient grid voltage regulation in wind power systems using Model Predictive Control (MPC) and Internet of Things (IoT) monitoring. The suggested system makes use of an MPC controller that controls the power generated by wind turbines according to real-time measurements of the grid voltage that are collected via an IoT network of sensors and devices for communication. The structure of the system is created to ensure that the grid voltage maintains within a certain range, improving the stability and dependability of the power grid. Extensive MATLAB simulations are used to prove how effective the suggested system is, showing that it performs better in terms of voltage regulation and system stability than traditional control approaches. The feasibility and cost-effectiveness of the suggested system's installation are also examined. According to the research, compared to conventional control methods, the suggested system is simple to set up and maintain and provides considerable cost savings. The performance, dependability, and effectiveness of the power grid may be improved by using the technique presented in the present article, which is feasible and effective for grid voltage control in wind power systems.