IoT-Enabled Supervisory Control of Wind-Driven Induction Generators Using Interval Type-2 Fuzzy Logic for Dynamic Load Management in Off-Grid Systems

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 hardware-validated with low 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.