INTELLIGENT FUZZY CONTROL FOR ENHANCED STABILITY AND FAULT RIDE-THROUGH IN HYBRID WECS-PV-PIEZOELECTRIC GRID SYSTEMS

Abstract

This paper presents a fuzzy-based energy management and Fault Ride-Through (FRT) enhancement approach for a hybrid grid-connected power integrating Wind Energy Conversion System (WECS), Photovoltaic (PV) machine, and piezoelectronics. The proposed fuzzy controller dynamically regulates electricity distribution and inverter management, making sure seamless renewable energy source (RES) integration whilst preserving grid stability throughout abnormal situations. Compared to traditional PI and droop control strategies, the proposed machine improves performance to 96%, reduces FRT response time to 18 ms, and achieves complete low voltage ride-through (LVRT) and high voltage ride-through (HVRT) capabilities, allowing uninterrupted grid connection below voltage sag and transient disturbances. The fuzzy-based technique enhances voltage regulation, transient stability (by using 35%), and decreases voltage sag (via 45%), extensively outperforming conventional manipulate strategies. Simulation consequences verify that the proposed strategy guarantees superior grid synchronization, improved dynamic reaction, and high reliability in hybrid renewable power systems. This has a look at demonstrates that fuzzy based FRT enhancement is a promising solution for modern smart grids, presenting improved suppleness and efficiency in managing grid disturbances and power fluctuations.