Normal-Based Model for True Power Curves of Wind Turbines

Wind turbine power curves do not consider specific weather conditions, wind shear, turbulence effects of the location where the turbine is going to be installed, or its age. A true power curve is obtained by analyzing data from an installed wind turbine over a year. Here, a model for a true power curve is proposed, considering a normal distribution for each range of wind speed data. Furthermore, a Monte Carlo-based simulation technique is proposed to reproduce data following the normal-based model. The main use of the model is to simulate data to complete lacking real data or to perform long-term assessments. The model was checked with data from two wind turbines at the Sotavento experimental wind farm in the northwest of Spain.

[1]  Yue Wang,et al.  Copula‐based model for wind turbine power curve outlier rejection , 2014 .

[2]  Alex Harding,et al.  A Deterministic Bases Piecewise Wind Power Forecasting Models , 2014 .

[3]  Taner Ustuntas,et al.  Wind turbine power curve estimation based on cluster center fuzzy logic modeling , 2008 .

[4]  J. Lobry,et al.  System Reliability Assessment Method for Wind Power Integration , 2008, IEEE Transactions on Power Systems.

[5]  E.F. El-Saadany,et al.  Wind Turbines Capacity Factor Modeling—A Novel Approach , 2009, IEEE Transactions on Power Systems.

[6]  Roy Billinton,et al.  Adequacy assessment of generating systems containing wind power considering wind speed correlation , 2009 .

[7]  B Stephen,et al.  A Copula Model of Wind Turbine Performance , 2011, IEEE Transactions on Power Systems.

[8]  Guido Carpinelli,et al.  Probabilistic three-phase load flow for unbalanced electrical distribution systems with wind farms , 2007 .

[9]  Mohammed G. Khalfallah,et al.  Suggestions for improving wind turbines power curves , 2007 .

[10]  V. G. Rau,et al.  Site matching of wind turbine generators: a case study , 1999 .

[11]  Xian Liu,et al.  An Improved Interpolation Method for Wind Power Curves , 2012, IEEE Transactions on Sustainable Energy.

[12]  Andrew Kusiak,et al.  On-line monitoring of power curves , 2009 .

[13]  M. Lydia,et al.  Advanced Algorithms for Wind Turbine Power Curve Modeling , 2013, IEEE Transactions on Sustainable Energy.

[14]  B. Stephen,et al.  Wind Turbine Condition Assessment Through Power Curve Copula Modeling , 2012, IEEE Transactions on Sustainable Energy.

[15]  Mohammad Jafari Jozani,et al.  Wind Turbine Power Curve Modeling Using Advanced Parametric and Nonparametric Methods , 2014, IEEE Transactions on Sustainable Energy.

[16]  Fatih Onur Hocaoglu,et al.  A novel hybrid (wind-photovoltaic) system sizing procedure , 2009 .

[17]  Nikos D. Hatziargyriou,et al.  Probabilistic load flow in distribution systems containing dispersed wind power generation , 1993 .