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As a key and popular renewable energy, wind power penetration has increased significantly into the power system worldwide in recent years. In order to solve the stochastic nature of wind power and develop better dispatch plan, wind power forecasting is imperative before integrating it into the system. To achieve better forecasting accuracy, it is necessary to investigate the significance of temporal...
Wind prediction is a key technique for seamless integration of large penetration of wind power into the power system. In this study, a nonlinear autoregressive model with exogenous inputs (NARX) is developed to predict the power consumption of a single wind turbine. The training data for the NARX models are collected from a 1.5MW wind turbine of a wind farm located at Northeast of China. The accuracy...
In order to enhance the problem solving skills of students majoring in wind energy and power engineering, a novel TRIZ based strategy is developed for teaching the wind turbine control module. By utilizing the TRIZ theory, the key control parameters for wind turbines are identified and comprehensively analyzed, and the contradictions among various wind turbine control objectives are extracted, based...
The demand for sustainable development has resulted in a rapid growth in wind power worldwide. Although various approaches have been proposed to improve the accuracy and to overcome the uncertainties associated with traditional methods, the stochastic and variable nature of wind still remains the most challenging issue in accurately forecasting wind power. This paper presents a hybrid deterministicprobabilistic...
Due to the variability of wind power, it is imperative to accurately and timely forecast wind generation to enhance the flexibility and reliability of the operation and control of real-time power systems. Special events such as ramps and spikes are hard to predict with traditional methods using solely recently measured data. In this paper, a new Gaussian Process model with hybrid training data taken...
Dependency on thermal generation and continued wind power growth in Europe due to renewable energy and greenhouse gas emissions targets has resulted in an interesting set of challenges for power systems. The variability of wind power impacts dispatch and balancing by grid operators, power plant operations by generating companies and market wholesale costs. This paper quantifies the effects of high...
Increasing installed capacities of wind power in an effort to achieve sustainable power systems for future generations pose problems for system operators. Volatility in generation volumes due to the adoption of stochastic wind power is increasing. Storage has been shown to act as a buffer for these stochastic energy sources, facilitating the integration of renewable energy into a historically inflexible...
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