Intelligent Iot Wind Emulation System Based On Real – Time Data Fetching Approach
DOI:
https://doi.org/10.64252/dyfyx174Keywords:
Python, application programming interface, web services, FPGA controller, wind emulator, DC machine, and the Internet of Things.Abstract
At the heart of the current debate is the fact that wind energy's intrinsic instability is the main barrier to its further growth as a conversion technology. The IoT is the new standard for efficient and intelligent control of renewable energy installations. The Internet of Things, on the other hand, is a fascinating field that offers a lot of room for growth and heavy lifting. By simulating every conceivable operational configuration of wind turbines and configuring the control algorithms and power electronics topologies appropriately, researchers may be able to make wind energy conversion systems more reliable. The proposed wind simulation platform is significantly more efficient than current solutions efficient and has much better traceability, with an emphasis on wind turbines. The technology that simulates wind uses real-time data on wind speeds. By means of an Internet of Things (IoT) cloud application programming interface, the worldwide nodes are able to access both historical and future wind data. The VEE Pro environment is used to mimic the wind emulation system, which is subsequently connected to the FPGA controller and the IoT cloud API. To investigate and enhance wind turbine efficiency, data collected from the Internet of Things is transformed into useful information. In addition, the ESP8266's connection with the host computer is protected by robust security protocols. Then, in a real-time setting, we will analyze the power generating capacity and the status of the system for converting wind energy utilizing the suggested Internet of Things algorithm and its associated hardware prototype.