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An optimal predictive voltage control based on the deadbeat control scheme is proposed in this paper, which can eliminate the error caused the control delay and can be implemented without transforming to dq rotating coordinate system. So this method can simplify the design process of the control system. Additionally, it simplifies the implementation of switching states based on the principle of space...
Output power determination of wind generators is always associated with some uncertainties due to wind speed and other weather parameters alteration, and precise short-term predictions are essential for their efficient operation. This can efficiently support transmission and distribution system operators and schedulers to improve the power network control and management. In this paper, we propose...
Power generation from wind generators is always associated with some intermittency due to wind speed and other weather parameters variation, and accurate short-term forecasts are essential for their efficient and effective operation. This can well support transmission and distribution system operators and schedulers to enhance the power network control and management in the smart grid context. This...
A clustering based composite kernels support vector machine ensemble forecasting model is proposed for the chaotic time series prediction. First, fuzzy possibility c-mean clustering algorithm (FPCM) is adopted to partition the input dataset into several subsets, which can overcome the drawback caused by outlier and noise in conventional fuzzy c-mean method. Then, SVMs with composite kernels that best...
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