Asian Journal of Control · 2019 · 23 citations · 23 references
EngineeringElectrical EngineeringEnergy SystemsPower ElectronicsRenewable Energy SystemsControl SystemsPower Electronics For Renewable EnergyRenewable Energy Power ConversionWind Energy SystemsWind Turbine TechnologyBuck ConvertersDuty Cycle ControlDynamic ResponseGeneratorsMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsVariable-speed Wind TurbinesWind Energy Conversion Systems
Abstract A comparative control study for a maximum power tracking strategy of variable speed wind turbine is provided. The system consists of a direct drive permanent magnet synchronous generator (PMSG) and an uncontrolled rectifier followed by a DC/DC switch‐mode step down converter connected to a DC load. The buck converter is used to catch the maximum power from the wind by generating an efficient duty cycle. Distinct Maximum Power Point Tracking (MPPT) algorithms are analyzed and compared: a classical Proportional‐Integral controller (PI) and two based Fuzzy Logic Controllers (FLC), including a conventional Fuzzy‐PI and an Adaptive FLC‐PI. The main aim of the presented study is to develop an advanced control scheme for wind generators to ensure a high level operating of the system and a maximum power extraction from the wind. This is achieved by analyzing the behavior of the system under fluctuating wind conditions employing Matlab Simpower Systems tool. Simulation results confirm that the Adaptive FLC‐PI controller algorithm has better performances in terms of dynamic response and efficiency especially in comparison with the ones of a PI controller under variable wind speed.
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