Wind farm power production in the changing wind: Robustness quantification and layout optimization
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Wen Zhong Shen | Ju Feng | W. Shen | Ju Feng | W. Shen
[1] S. Santoso,et al. Quantifying short-term wind power variability , 2011, 2011 IEEE Power and Energy Society General Meeting.
[2] Wen Zhong Shen,et al. Modelling Wind for Wind Farm Layout Optimization Using Joint Distribution of Wind Speed and Wind Direction , 2015 .
[3] Wen Zhong Shen,et al. Solving the wind farm layout optimization problem using random search algorithm , 2015 .
[4] S. Santoso,et al. Quantifying Short-Term Wind Power Variability Using the Conditional Range Metric , 2012, IEEE Transactions on Sustainable Energy.
[5] Jay Apt,et al. The spectrum of power from wind turbines , 2007 .
[6] Jay Apt,et al. The variability of interconnected wind plants , 2010 .
[7] Pengcheng Wang,et al. Multi-objective genetic algorithm based innovative wind farm layout optimization method , 2015 .
[8] Rasool Azimi,et al. A hybrid wind power forecasting model based on data mining and wavelets analysis , 2016 .
[9] Jay Apt,et al. The cost of wind power variability , 2012 .
[10] Andreas Sumper,et al. Maximum wind power plant generation by reducing the wake effect , 2015 .
[11] Ervin Bossanyi,et al. Wind Energy Handbook , 2001 .
[12] Simon J. Watson,et al. Quantifying the variability of wind energy , 2014, Advances in Energy Systems.
[13] J. A. Carta,et al. A review of measure-correlate-predict (MCP) methods used to estimate long-term wind characteristics at a target site , 2013 .
[14] Kincho H. Law,et al. Cooperative wind turbine control for maximizing wind farm power using sequential convex programming , 2015 .
[15] Surya Santoso,et al. Conditional Range Metric for Determining Wind Power Variability of Scarce or Noisy Data , 2015, IEEE Transactions on Sustainable Energy.
[16] Bri-Mathias Hodge,et al. A hybrid measure-correlate-predict method for long-term wind condition assessment , 2014 .
[17] C. F. Ratto,et al. Optimization of the Regional Spatial Distribution of Wind Power Plants to Minimize the Variability of Wind Energy Input into Power Supply Systems , 2008 .
[18] Matthew A. Lackner,et al. Probability distributions for offshore wind speeds , 2009 .
[19] Godfrey Boyle,et al. Renewable Electricity and the Grid : The Challenge of Variability , 2007 .
[20] R. Trigo,et al. A long‐term perspective of wind power output variability , 2015 .
[21] Javier Serrano González,et al. A review and recent developments in the optimal wind-turbine micro-siting problem , 2014 .
[22] İnci Okumuş,et al. Current status of wind energy forecasting and a hybrid method for hourly predictions , 2016 .
[23] Michael Milligan,et al. Variability in large-scale wind power generation , 2016 .
[24] Yong Wang,et al. Robustness of feedback stabilization of quasi non-integrable Hamiltonian systems with parametric uncertainty , 2012 .
[25] Meng Guang,et al. λ-PDF and Gegenbauer polynomial approximation for dynamic response problems of random structures , 2004 .
[26] Mengxuan Song,et al. Optimization of wind turbine micro-siting for reducing the sensitivity of power generation to wind direction , 2016 .
[27] Andrew Kusiak,et al. Optimization of Wind Power and Its Variability With a Computational Intelligence Approach , 2014, IEEE Transactions on Sustainable Energy.