scholarly journals Simulating wind power forecast error distributions for spatially aggregated wind power plants

Wind Energy ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 45-62
Author(s):  
Jari Miettinen ◽  
Hannele Holttinen ◽  
Bri‐Mathias Hodge
Keyword(s):  
Wind Power ◽  
Power Plants ◽  
Forecast Error ◽  
Wind Power Plants ◽  
Wind Power Forecast ◽  
Error Distributions

Characterizing and Modeling Wind Power Forecast Errors from Operational Systems for Use in Wind Integration Planning Studies

2012 ◽  
Vol 36 (5) ◽  
pp. 509-524 ◽  
Author(s):  
Bri-Mathias S. Hodge ◽  
Erik G. Ela ◽  
Michael Milligan
Keyword(s):  
Wind Power ◽  
Current System ◽  
Forecast Error ◽  
Forecast Errors ◽  
Wind Integration ◽  
Wind Power Forecasting ◽  
Wind Power Forecast ◽  
Error Distributions ◽  
Integration Planning ◽  
Power Forecasting

An important consideration in wind power integration studies is the role that wind power forecasting will play in simulated high-penetration system operations. As no wind power forecast is perfect, an understanding of the forecast error distributions that are observed in current system operations is important for modeling the forecast errors that can be expected in future scenarios. In this work, we statistically characterize and model the wind power forecast errors from three different operational forecasting systems at multiple timescales. Comparisons are made with two methods that are commonly used in wind integration studies to represent wind power forecasting: the persistence model, and an assumed normal distribution of forecasting errors. A number of model distributions are fit to the operational system forecast errors and the accuracy of the model fits to extreme events is examined in detail.

A Modified Statistical Model for Wind Power Forecast Considering Wind Power Output Control and its Applications

2013 ◽  
Vol 392 ◽  
pp. 636-640 ◽  
Author(s):  
Ying Wang ◽  
Yan Ping Xu ◽  
Kai Feng Zhang ◽  
Xian Liang Teng
Keyword(s):  
Power Generation ◽  
Statistical Model ◽  
Wind Power ◽  
Power Output ◽  
Power Plants ◽  
Wind Power Generation ◽  
Forecast Errors ◽  
Output Control ◽  
Wind Power Plants ◽  
Wind Power Forecast

At present, the wind power forecast errors are mostly assumed to be normally distributed, beta distributed or Cauchy distributed. However, considering the wind power plants can actively control and regulate their output power, the wind power forecast distributions must be influenced. In this paper, a modified statistical model for wind power forecast distribution under wind power output control is established. The model can accurately reflect how the distribution changes when the wind generation is controlled. The result reveals that the reliability of wind power generation will be improved with output control. Then, based on the model proposed, some applications for wind power generation are described.

The territory of the Russian Federation is a rescue from the COVID-19 coronavirus

2020 ◽  
pp. 26-29
Author(s):  
Yu. Kozlov ◽  
R. Serebryakov
Keyword(s):  
Wind Power ◽  
Rural Areas ◽  
Small Area ◽  
Power Plants ◽  
Air Spring ◽  
Atmospheric Air ◽  
Large Cities ◽  
Wind Power Plants ◽  
The World ◽  
The Russian Federation

A new coronavirus pandemic is raging all over the world, especially in densely populated areas. Unlike most countries, more than half of the territory of Russia is not used by humans — which means that it is possible to settle large cities to avoid crowding people on a small area. The authors of the article consider wind power, namely vortex wind power plants, as a new source of energy that can be quickly and with less harm built in rural areas. The article also discusses the possibilities of an alternative Autonomous non-volatile installation "Air spring" for obtaining fresh water from atmospheric air.

Optimized Reactive Power Capability of Wind Power Plants with Tap-Changing Transformers

2021 ◽  
pp. 1-1
Author(s):  
Hever Alcahuaman ◽  
Juan Camilo Lopez ◽  
Daniel Dotta ◽  
Marcos J. Rider ◽  
Scott G. Ghiocel
Keyword(s):  
Wind Power ◽  
Power Plants ◽  
Reactive Power ◽  
Wind Power Plants ◽  
Power Capability
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