Control, reliability analysis, and intelligent energy management optimization for resilient multi-pump irrigation system powered by DFIG-based wind energy system

Abstract

The present paper puts forth a state-of-the-art control strategy for a Doubly Fed Induction Generator (DFIG)-based wind energy conversion system that supplies a multi-pump irrigation network. In order to surmount the power quality limitations inherent to conventional Direct Torque Control (DTC), a Fuzzy Logic–based Improved Direct Reactive Power Control (F-IDRPC) approach has been developed. The conventional hysteresis comparators and switching table are substituted by a fuzzy inference system, a modification that results in a substantial reduction of torque, flux, and current ripples, while ensuring the maintenance of near-sinusoidal stator currents. Furthermore, a Reliability-Aware Permutation Strategy (RAPS) is integrated into the Smart Energy Management Approach (SEMA) algorithm. By replacing a single high-power pump with a modular five-pump architecture, the proposed method increases system reliability by 226% (MTBF) and equalizes mechanical wear through cyclic duty cycling. The MATLAB/Simulink simulation. The MATLAB/Simulink simulation results demonstrate a 99.15% reduction in Total Harmonic Distortion (THD), an 48.25% reduction in active power ripples, and a 55.23% reduction in local reactive power compensation ripples, with a 90.04% reduction in frequency ripples compared with conventional control. These findings substantiate the efficacy of the proposed strategy in enhancing power quality, system stability, and irrigation reliability under variable wind conditions.