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With the increase of the capacity of PV generated systems, how to eliminate the problem caused by the randomness of power output for photovoltaic system becomes more significant. Most of the existing photovoltaic prediction is Based on the solar radiation. However, it's difficult to implement in China due to insufficient solar radiation station available and poor forecasting performance. In addition,...
Ultra-short term wind speed forecast for wind farm is of great significance to the real-time scheduling of wind power system. In this paper, NWP (Numerical Weather Prediction) wind speed time series and measured wind speed time series were decomposed into different bands by wavelet multi-resolution analysis. Pearson product-moment correlation coefficient was used to verify the correction premise....
Air flow field around open storage pile is a matter of flow around square cylinder. Prediction of wind flow over storage pile plays a dominant role in the evaluation of its environmental impact. Numerical simulation of flow around square cylinder has been widely recognized as a powerful tool in determining air flow field. This paper introduces the application of the numerical simulation in the research...
Accurate forecasting of wind power production can reduce the requirement for reserve and increase the reliability of power systems. Various types of reserve are discussed. A method is introduced to quantify regulating and operating reserve by considering the uncertainty of load and wind power forecasts. A 10min averaging method is used in the hourly wind power forecast. The IEEE Reliability Test System-96...
In the electricity system, supply and demand must be equal at all times. Wind power generation is fluctuating due to the variation of wind. As more and more wind power generation is integrated into the power system, it is very important to predict the wind power production to contribute the system reserve reduction and the operational costs of the power plants. This paper brings wavelet transform...
The development of wind generation has rapidly progressed over the last decade, the most important application for wind power prediction is to reduce the need for balancing energy and reserve power, which are needed to integrate wind power into the balancing of supply and demand in the electricity supply system. This paper presents a new method of wind power prediction in short-term with Artificial...
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