IEEE Transactions on Industrial Electronics · 2007 · 222 citations · 9 references
EngineeringElectrical EngineeringEnergy SystemsPower ElectronicsWind EngineeringAc-ac ConvertersAc-dc ConversionAc-dc ConvertersControl SystemsWind Energy SystemsWind Turbine TechnologyAc-dc RectifiersComplexityDc-ac ConversionMaximum Power Point TrackingMaximum Power Point Tracking AlgorithmsSmall Wind TurbinesVoltage-source RectifiersWind Turbine Power Converters
The power characteristics of wind turbines are nonlinear. It is particularly true for vertical-axis turbines whose provided power is very sensitive to the load. Thus, controlling the operating point is essential to optimize the energetic behavior. Several control strategies (maximum power point tracking) can be used for the energy conversion. If the wind-turbine characteristic C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sub> (lambda) is supposed to be a priori known, it can be used for optimal control of the torque, speed, or system output power. On the contrary, if this characteristic is unknown, an operational seeking algorithm such as fuzzy logic has to be implemented. Several structures with different associated complexity degrees can be used, in particular, the structure of the ac-dc conversion, which can be either a pulsewidth-modulation voltage-source rectifier or a simple diode bridge. A comparative study of the corresponding control strategies and architectures is proposed in this paper regarding the tradeoffs between structure complexity and energy efficiency. The analysis is based on simulations and experiments
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