A Statistical Model for Wind Power on the Basis of Ramp Analysis

References

• Apt , J. 2007 . “The Spectrum of Power from Wind Turbines.&#x201D . Journal of Power Sources , 169 ( 2 ) : 369 – 374 . doi: 10.1016/j.jpowsour.2007.02.077
   Web of Science ®Google Scholar
• Cheng , Henry , Hou , Yunhe and Wu , Felix . 2011 . “Probabilistic Wind Power Generation Model: Derivation and Applications.&#x201D . INTERNATIONAL JOURNAL OF ENERGY , 5 ( 2 )
   Google Scholar
• Denholm , P. , Ela , E. , Kirby , B. and Milligan , M. 2010 . “The Role of Energy Storage with Renewable Electricity Generation&#x201D . NREL/TP-6A2-47187. National Renewable Energy Laboratory. ,
   Google Scholar
• “Global Wind Report: Annual Market Update 2012.&#x201D . 2012 . Global Wind Energy Council. ,
   Google Scholar
• Haque , Ashraf Ul and Julian , Meng . 2011 . “Short-Term Wind Speed Forecasting Based on Fuzzy Artmap.&#x201D . International Journal of Green Energy , 8 ( 1 ) : 65 – 80 . doi: 10.1080/15435075.2010.529784
   Web of Science ®Google Scholar
• Henry , Louie . 2010 . “Evaluation of Probabilistic Models of Wind Plant Power Output Characteristics.&#x201D , Singapore : IEEE . doi: 10.1109/PMAPS.2010.5528963
   Google Scholar
• Kamath , C. 2010 . “Understanding Wind Ramp Events through Analysis of Historical Data.&#x201D , New Orleans , LA : United States .
   Google Scholar
• Kani , S.A. , Pourmousavi , G.H. , Riahy and Mazhari , D. 2011 . “An Innovative Hybrid Algorithm for Very Short-Term Wind Speed Prediction Using Linear Prediction and Markov Chain Approach.&#x201D . International Journal of Green Energy , 8 ( 2 ) : 147 – 162 . doi: 10.1080/15435075.2010.548887
   Web of Science ®Google Scholar
• Lee , D. and Baldick , R. 2012 . “Limiting Ramp Rate of Wind Power Output Using a Battery Based on the Variance Gamma Process.&#x201D . In Santiago de Compostela Spain ,
   Google Scholar
• Xiuli , Qu and Shi , Jing . 2010 . “Bivariate Modeling of Wind Speed and Air Density Distribution for Long-Term Wind Energy Estimation.&#x201D . International Journal of Green Energy , 7 ( 1 ) : 21 – 37 . doi: 10.1080/15435070903501209
   Web of Science ®Google Scholar
• Jing , Shi , Qu , Xiuli and Zeng , Songtao . 2011 . “Short-Term Wind Power Generation Forecasting: Direct Versus Indirect Arima-Based Approaches.&#x201D . International Journal of Green Energy , 8 ( 1 ) : 100 – 112 . doi: 10.1080/15435075.2011.546755
   Web of Science ®Google Scholar
• Smith , J.C. , Milligan , M. , DeMeo , E.A. and Parsons , B. 2007 . “Utility Wind Integration and Operating Impact State of the Art.&#x201D . IEEE Transactions on Power Systems , 22 ( 3 ) August : 900 – 908 . doi: 10.1109/TPWRS.2007.901598
   Google Scholar
• Tanaka , N. 2011 . Harnessing Variable Renewables: A Guide to the Balancing Challenge , Paris , , France : International Energy Agency .
   Google Scholar
• Teleka , S. , Baran , M.E. , Huang , A.Q. , Bhattacharya , S. and Anderson , L. 2009 . “Control Strategies for Battery Energy Storage for Wind Farm Dispatching.&#x201D . Energy Conversion, IEEE Transactions , 24 ( 3 ) September : 725 – 732 .
   Web of Science ®Google Scholar
• Walling , R.A. 2008 . “Analysis of Wind Generation Impact on ERCOT Ancillary Services Requirements&#x201D . GE Energy. ,
   Google Scholar