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This paper proposes an intelligent maximum power point tracking (MPPT) algorithm for variable-speed wind energy conversion systems (WECSs) based on an online Q-learning algorithm. Instead of using the conventional Q-learning that uses a lookup table to store the action values for the discretized states, artificial neural networks (ANNs) are used as function approximators to output the action values...
This paper proposes a space-vector modulation (SVM)-based direct-torque control (DTC) scheme for a permanent magnet synchronous generator (PMSG) used in a variable-speed direct-drive wind power generation system. A quasi-sliding-mode observer (QSMO) that uses a finite sampling frequency is proposed to estimate the rotor position and stator flux linkage based on the current model of the PMSG. The optimal...
In this paper, present situation and the features of wind power generation in China is introduced briefly, and the significance of determining wind power penetration percentage of wind farm is pointed out. According to the previous research, wind power penetration limit and short circuit capacity ratio are considered as the two main aspects, when wind power capacity limit is focused. The advantages...
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