Abstract
This paper proposes an improved maximum power point tracking (MPPT) method for wind power systems. The proposed method combines hysteresis control with tip speed ratio (TSR) control using a power coefficient curve. It has fast dynamic characteristics with the TSR control using data obtained from an anemometer. Moreover it can track the maximum power point (MPP) with hysteresis control even when there is incomplete data. Since the proposed method selects the operating mode according to the operation state of the generator of three control modes, the controllers do not interfere with each other and they provide excellent performance. The effectiveness of the proposed algorithm is verified by simulation and experiments based on a 3 kW wind turbine system.
Highlights
Development of renewable energy sources is accelerating due to soaring oil prices and the depletion of fossil fuels [1,2]
A maximum power point tracking (MPPT) control method is required to compensate for the low efficiency
In order to generate the maximum power under a variable wind speed, the tip speed ratio (TSR) has to be optimized with variable blade torque
Summary
Development of renewable energy sources is accelerating due to soaring oil prices and the depletion of fossil fuels [1,2]. Neither P&O nor IncCond methods require any additional sensors to measure wind or rotor speed, but they have poor dynamic characteristics because they are not usually sensitive to variations in wind speed. They are mainly used in the small-capacity and low cost systems. The method uses sensors to track the MPP by the control of rotor speed and torque. This wind turbine has a boost converter for the control of the generator due to its small capacity It uses TSR control despite its scale, because it operates to connect other wind turbines in the farm. The effectiveness of the proposed algorithm is verified by simulation and experiments based on a 3 kW wind turbine system
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