Equivalent modeling of wind farm in frequency domain

A frequency-domain modeling method for the wind farm under wind fluctuation is proposed. A linear system named “Positive Wind Channel” is adopted to represent the energy conversion process of the wind farm with considering the spatial effects such as wake effect, wind shear, tower shadow and time-lag effect. A “Negative Wind Speed” is defined to represent the action of pitch angle controller which offsets the surplus power of the incoming wind. A linear system named “Negative Wind Channel” is employed to approximately represent the total effect of all the wind turbine generators' pitch angle controllers. The frequency-domain models of these two channels make up the frequency-domain model of the wind farm. With this model, the output power of the wind farm can be calculated directly by the “Original Incoming Wind Speed” while no time-domain simulation is necessary. The result of the case study shows the effectiveness of this method.

[1]  C. Singh,et al.  Simulation and Estimation of Reliability in a Wind Farm Considering the Wake Effect , 2012, IEEE Transactions on Sustainable Energy.

[2]  Ervin Bossanyi,et al.  Wind Energy Handbook , 2001 .

[3]  Jiuping Pan,et al.  Investigating the impact of wake effect on wind farm aggregation , 2011, 2011 IEEE Trondheim PowerTech.

[4]  N. Jenkins,et al.  Wind Energy Handbook: Burton/Wind Energy Handbook , 2011 .

[5]  P.W. Lehn,et al.  Simulation Model of Wind Turbine 3p Torque Oscillations due to Wind Shear and Tower Shadow , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[6]  Peng Wang,et al.  Adequacy study of wind farms considering reliability and wake effect of WTGs , 2011, 2011 IEEE Power and Energy Society General Meeting.

[7]  Rebecca J. Barthelmie,et al.  Evaluation of wind farm efficiency and wind turbine wakes at the Nysted offshore wind farm , 2010 .

[8]  Guo Peng Influence analysis of wind shear and tower shadow on load and power based on blade element theory , 2011, 2011 Chinese Control and Decision Conference (CCDC).

[9]  P. Kundur,et al.  Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.

[10]  P.E. Mercado,et al.  Wind farm: Dynamic model and impact on a weak power system , 2008, 2008 IEEE/PES Transmission and Distribution Conference and Exposition: Latin America.

[11]  Aurelio Medina,et al.  A state space model for the dynamic operation representation of small-scale wind-photovoltaic hybrid systems , 2010 .

[12]  Venkata Dinavahi,et al.  Real-Time Simulation of Grid-Connected Wind Farms Using Physical Aggregation , 2010, IEEE Transactions on Industrial Electronics.

[13]  J. F. Conroy,et al.  Aggregate modelling of wind farms containing full-converter wind turbine generators with permanent magnet synchronous machines: transient stability studies , 2009 .

[14]  A. B. Attya,et al.  Generation of high resolution wind speeds and wind speed arrays inside a wind farm based on real site data , 2011, 11th International Conference on Electrical Power Quality and Utilisation.