Analysis and Control of Permanent Magnet Synchronous Generator based Wind Energy Conversion System
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Abstract
In recent years, global energy challenges, including ecological, financial, and regulatory
newlineissues, have prompted a search for technological solutions. Distributed generation (DG) has
newlineemerged as a viable alternative, utilizing clean renewable energy sources (RESs). Wind
newlineenergy conversion systems (WECSs) play a vital role in harnessing wind energy for
newlineelectricity generation. Wind farms, capable of producing large amounts of power ranging
newlinefrom megawatts to gigawatts, demonstrate the potential of wind energy to meet future energy
newlinedemands. These systems can be grid-connected or standalone, with each mode of operation
newlinepresenting its own set of challenges. While grid-connected systems are more reliable and can
newlineshare power with the grid, standalone systems are essential for remote areas and islands where
newlinegrid integration is challenging. The research explores innovative control strategies and system
newlinedesigns to improve the overall functionality of PMSG-based WECS. This thesis delves into
newlineenhancing the performance, efficiency, and power quality of Permanent Magnet Wind Energy
newlineGenerator System for both grid-connected and standalone applications. The research gap has
newlinebeen identified by a detailed literature review covering control strategies like Maximum
newlinePower Point Tracking (MPPT), LCL filters, Solid-State Transformer (SST) integration, and
newlinepower quality enhancement methods, including the use of Self-Tuning Filters (STF).
newlineOptimization of Direct Drive PMSG-based WECS through robust control and mathematical
newlinemodelling with LCL filtering is investigated to improve system performance and efficiency.
newlineIntegration of Solid-State Transformer with an optimal Unified Triple-Phase-Shift Control
newlineTechnique is proposed for enhanced power quality and grid reliability in PMSG-based
newlineWECS.
newlineA Passivity-Based Fuzzy Logic Approach is presented for optimal power extraction from
newlinePMSG, focusing on dynamic modelling, control concepts, and fuzzy logic-based torque
newlinecontrol strategies.