Abstract—The integration of renewable sources such as wind energy into off-grid systems poses challenges in system stability and power quality due to natural fluctuations in wind and dynamic load conditions. In this paper, an Internet of Things (IoT)-based supervisory control strategy using Interval Type-2 Fuzzy Logic Control (IT2FLC) is introduced for a wind-powered Induction Generator (IG) system. The IT2FLC is designed to handle uncertainties and nonlinearities of wind speed fluctuation and load variations to guarantee robust performance. The IoT component enables real-time monitoring and adaptive control for enhancing system responsiveness. The suggested system is simulated and modeled in MATLAB/Simulink and validated with low-cost hardware implementation on microcontrollers. Simulation results and suitable experiments validate better voltage regulation, reduced total harmonic distortion (THD), and improved dynamic response over conventional control schemes.

Keywords—generator, Internet of Things (IoT), Interval Type-2 Fuzzy Logic Control (IT2FLC), wind energy

Cite: Arunava Chatterjee, Ashok K. Mukherjee, "induction generator, Internet of Things (IoT), Interval Type-2 Fuzzy Logic Control (IT2FLC), wind energy," International Journal of Smart Grid and Clean Energy, Vol. 14, No. 2, pp. 14-24, 2025. doi: 10.12720/sgce.14.2.14-24

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