Real-time data fetching approach for performance evaluation of a DFIG wind power generation system using an IoT-enabled wind emulator
R. Sitharthan, M. Rajesh, R. Senthil Kumar, Shanmuga Sundar Dhanabalan
TL;DR
This paper introduces an IoT-based system for real-time performance evaluation of wind power systems using a wind emulator, enabling accurate and scalable testing.
Contribution
The novel contribution is an IoT-enabled wind emulator with low-latency real-time synchronization and cloud-based predictive analysis for DFIG wind systems.
Findings
The system achieved 87% model accuracy (MAPE) between theoretical and emulator power outputs.
Health index reliability was 95%, and grid power factor reached near-unity at 0.999.
The setup demonstrated low latency of 180 ms for real-time synchronization with global weather data.
Abstract
The increased integration of wind energy into the power system network requires advanced testing and performance evaluation methods to ensure reliability and efficiency. This paper presents an IoT-based real-time data collection method for analyzing the performance of the Wind Power Generation System (WPGS) using an intelligent IoT-enabled wind emulator system. The proposed system uses IoT to gather comprehensive real-time wind data, which is processed by a digitally controlled emulator to accurately assess wind turbine responses under different wind conditions. The advantage of this system is that IoT and cloud-based data analytics enable predictive analysis of the WPGS, helping evaluate its behavior and performance under various real-time scenarios. The approach is tested with a wind emulator setup consisting of a 1 kW Doubly-Fed Induction Generator (DFIG) connected to a Brushless DC…
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Taxonomy
TopicsWind Turbine Control Systems · Wind Energy Research and Development · Real-time simulation and control systems