Novel Control of FLAMI with Super Twisting Sliding Mode Controllers for Grid Connected PMSG based Wind Power Conversion System

Abstract

Electricity serves as a fundamental necessity in society, enabling the completion of numerous tasks.The generation of electric power from renewable energy sources (RESs) linked to the power grid is attracting significant interest from numerous researchers, owing to its potential to diminish pollution and its various benefits.Among various options, electric power generation using variable speed wind turbines has gained significant popularity and necessitates innovative control methodologies for effective integration with the power grid.Detecting the wind speed of a wind turbine poses challenges, particularly in high power applications. Therefore, a maximum power point tracking (MPPT) algorithm that does not rely on speed sensors has been developed to optimize power extraction from the wind turbine across a range of operating conditions.Permanent Magnet Synchronous Generators (PMSGs) are frequently employed in wind power conversion systems for the generation of electrical energy.Additional multilevel inverters are necessary for the integration of PMSG based wind power conversion systems into the power grid; however, they are challenged by an increased number of power electronic switches.Consequently, this paper examines a Five Level Aligned Multilevel Inverter (FLAMI).In contrast to traditional PI controllers, super twisting sliding mode (STSM) controllers demonstrate superior performance during rapid fluctuations. Consequently, this paper presents a new control methodology for a FLAMI designed for a grid-connected PMSG-based wind power conversion system.Furthermore, a whale optimization technique is employed to adjust the various parameters utilized in STSM controllers.A range of outcomes is analyzed through the Hardware-in-the-Loop setup implemented on the OPAL-RT platform.