نتایج جستجو برای: wind uncertainty

تعداد نتایج: 203470  

2010
Wei Zhou Yu Peng

This paper develops a modified economic dispatch (ED) optimization model with wind power penetration. Due to the uncertain nature of wind speed, both overestimation and underestimation of the available wind power are compensated using the up and down spinning reserves. In order to determine both of these two reserve demands, the risk-based up and down spinning reserve constraints are presented ...

2011
P. Casau P. Rosa S. M. Tabatabaeipour

Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbine, we study the application of Set-Valued Observers (SVO) to the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) of wind turbines, by taking advantage of the re...

2009
J. Dobschinski A. Wessel B. Lange K. Rohrig L. v. Bremen

This paper describes different methods to estimate the uncertainty of wind power forecasts in terms of prediction intervals. The single methods and an ensemble average model have been applied to shortest-term wind power forecasts (forecast horizon = 1, 2, 4 & 8 h) of 62 spatially distributed wind farms in Germany to obtain intervals with a nominal reliability of 90, 95 and 98 %. Furthermore the...

2008
Cameron W. Potter Debra Lew Jim McCaa Sam Cheng Scott Eichelberger Eric Grimit

The Western Wind and Solar Integration Study (WWSIS) is one of the world’s largest regional integration studies to date. This paper discusses the creation of the wind dataset that will be the basis for assessing the operating impacts and mitigation options due to the variability and uncertainty of wind power on the utility grids. The dataset is based on output from a mesoscale numerical weather...

2014
Zhongxian Men Eugene Yee Fue-Sang Lien Hua Ji Yongqian Liu

The bootstrap resampling method is applied to an ensemble artificial neural network (ANN) approach (which combines machine learning with physical data obtained from a numerical weather prediction model) to provide a multi-ANN model super-ensemble for application to multi-stepahead forecasting of wind speed and of the associated power generated from a wind turbine. A statistical combination of t...

2017
John P.T. Mo Daniel Chan

Wind power generation is an effective form of clean, renewable energy which operates both on land and offshore. The primary means of converting wind to power is by wind turbines. The issue with wind turbines is high uncertainty of operating environment resulting in low life cycle reliability. Frequent breakdown failures resulting in reactive maintenance is costly which results in downtime and l...

Journal: :ITOR 2007
Paula Ferreira Madalena Araújo M. E. J. O'Kelly

In the following paper the present situation of the electricity production from Renewable energy Sources (RES) in Portugal is analysed, giving particular attention to the wind power sector due to its increasing importance. The evolution of the electricity system is presented along with the strategies for the sector, and future prospects for the RES. Although the high interest of private compani...

Journal: :J. Exp. Theor. Artif. Intell. 2016
Arayeh Afsordegan Mónica Sánchez Núria Agell Juan Carlos Aguado Gonzalo Gamboa

A social multi-criteria evaluation framework for solving a real-case problem of selecting a wind farm location in the regions of Urgell and La Conca de Barberà in Catalonia (northeast of Spain) is studied. This paper applies a qualitative MCDA approach based on linguistic labels assessment able to address uncertainty and deal with different levels of precision. This method is based on qualitati...

2011
Yalchin Efendiev

not available at time of publication. Adam Larios Department of Mathematics UC Irvine [email protected] MS8 Poisson Solvers in Thin Domains Abstract not available at time of publication.not available at time of publication. Alberto Scotti UNC Chapel Hill [email protected] MS9 Quantifying Uncertainty in Wind Power Predictions for Stochastic Unit Commitment Optimization We discuss uncertainty ...

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