Hybrid beluga whale optimization based MPPT for photovoltaic powered open end winding induction motor drives.

ABSTRACT: This paper presents a novel Hybrid Beluga Whale Optimization (HBWO) algorithm enhanced with multi-strategy mechanisms for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems integrated with an Open-End Winding Induction Motor (OEWIM) drive. The HBWO algorithm is developed to ensure fast and accurate maximum power extraction under dynamic irradiance, partial shading, and varying load conditions. The motor drive is governed by an improved Direct Torque Control (DTC) scheme featuring a five-level torque hysteresis controller and an optimized switching table, resulting in reduced torque ripple and enhanced system stability. Simulation-based performance analysis, conducted in MATLAB/SIMULINK, benchmarks the proposed method against traditional MPPT algorithms including Perturb & Obs

SUBMITTER: Kothapalli B 

PROVIDER: S-EPMC12504546 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature