Dandelion optimization-based MPPT approach for wind energy system with prospects for grid integration

Purpose This paper aims to present a wind energy conversion system (WECS) integrated with a multi-cell boost chopper (MCBC) using a dandelion optimization (DO)-based maximum power point tracking (MPPT) method to enhance efficiency and enable reliable grid integration. Design/methodology/approach The proposed system comprises a permanent magnet synchronous generator (PMSG), an unregulated rectifier for AC–DC conversion and an MCBC for improved voltage gain. A meta-heuristic DO-based MPPT algorithm is applied to determine the optimal operating point. The model is developed in MATLAB®/Simulink® and evaluated under fixed and variable wind speed conditions (3 m/s, 4 m/s and 5 m/s). Performance is compared with the conventional perturb and observe (P&O) MPPT technique. Findings Simulation results confirm that the DO-based MPPT significantly outperforms the P&O method. The system achieved a voltage boost factor of 4.998, reduced ripple, faster settling time and a high accuracy of 99.98% in tracking the maximum power point of the PMSG-based WECS. Originality/value This study introduces the application of DO-based MPPT for a wind-powered MCBC, demonstrating improved voltage gain, stability and tracking accuracy. The proposed approach offers a robust and efficient solution for modern wind energy conversion and grid integration.