IoT-Based Real-Time Wind Power Plant Monitoring and Overload Protection
Keywords:
Wind Power Plant, Internet of Things, Overload Protection, PZEM014, PZEM004T, Anemometer Sensor, IR SensorAbstract
Wind Power Plants (WPP) are an environmentally friendly renewable energy solution. However, ensuring optimal performance and
operational safety requires a reliable monitoring and protection system. This research focuses on the development and implementation of
an Internet of Things (IoT)-based monitoring system for real-time tracking of current, voltage, power, RPM, and wind speed parameters,
along with an automated overload protection mechanism. The system is designed to be accessible and controllable via a web platform.
The methodology involves hardware and software design, integrating a microcontroller with the Thinger.io platform, which also facilitates
remote relay control for WPP and inverter outputs. The protection system is configured to detect overload conditions and trigger automatic
disconnection while delivering real-time notifications through Telegram. Experimental results indicate that the overload protection
mechanism operates with high reliability, achieving an average response time of 0.96 seconds. The IoT integration via Thinger.io proved
effective in enabling data visualization, remote device control, and responsive real-time notifications. Sensor accuracy was maintained
with measurement errors below 10% for most primary parameters. Additionally, the system demonstrated optimal efficiency at a wind
speed of 7 m/s, with a linear correlation observed between wind speed and electrical output. This research confirms that IoT-based
monitoring and protection systems enhance the safety and ease of operational supervision for WPPs in a sustainable manner.
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