Yih-Huei Wan

TL;DR: In this article, a modular permanent magnet generator with axial flux direction was designed for wind turbines, where the permanent magnet used is NdFeB or ferrite magnet with flux guide to focus flux density in the air gap.

TL;DR: In this article, the authors overview some of these areas, and briefly describe consequences of the increase in wind power, and try to draw some generic conclusions about what will happen when the amount of wind power increases for other regions where wind power penetration is expected to reach high values in future.

TL;DR: This paper introduces a method of short term wind power prediction for a wind power plant by training neural networks based on historical data of wind speed and wind direction based on complex-valued recurrent neural network.

TL;DR: In this paper, the characteristics of wind power variability and net load variability in multiple power systems based on real data from multiple years were analyzed. Demonstrated characteristics included wind energy variability and load variability.

TL;DR: In this paper, the authors show that although very short-term wind power fluctuations are stochastic, the persistent nature of wind and the large number of turbines in a wind power plant tend to limit the magnitude of fluctuations and rate of change in wind power production.