An optimization approach for wind turbine commitment and dispatch in a wind park

This paper describes an operational optimization strategy to be adopted at the wind park control level, that enables defining the commitment of wind turbines and their active and reactive power outputs following requests from Wind Park Dispatch Centers, assuming that individual wind turbines short-term wind speed forecasts are knownand are expressed as power availability. This operational strategywas also developed with a concern on the minimization of the connection/disconnection changes of the individual wind generators, for a given time horizon. When identifying the active/reactive dispatching policies, wind generators loading capabilities are also taken in account. This optimization tool is especially suited to manage large wind parks.

[1]  Pierre Pinson,et al.  On‐line assessment of prediction risk for wind power production forecasts , 2003 .

[2]  A. Tapia,et al.  Two Alternative Modeling Approaches for the Evaluation of Wind Farm Active and Reactive Power Performances , 2006, IEEE Transactions on Energy Conversion.

[3]  J.A.P. Lopes,et al.  Optimum generation control in wind parks when carrying out system operator requests , 2006, IEEE Transactions on Power Systems.

[4]  Olimpo Anaya-Lara,et al.  Contribution of DFIG-based wind farms to power system short-term frequency regulation , 2006 .

[5]  J. O. Gjerde,et al.  Steady state power system issues when planning large wind farms , 2002, 2002 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.02CH37309).

[6]  S. Arnalte,et al.  Automatic Generation Control of a Wind Farm with Variable Speed Wind Turbines , 2002, IEEE Power Engineering Review.

[7]  G. Tapia,et al.  Reactive power control of a wind farm made up with doubly fed induction generators. I , 2001, 2001 IEEE Porto Power Tech Proceedings (Cat. No.01EX502).

[8]  J.A.L. Barreiros,et al.  Improving power system dynamic behavior through doubly fed induction machines controlled by static converter using fuzzy control , 2004, IEEE Transactions on Power Systems.

[9]  Poul Ejnar Sørensen,et al.  Centralised power control of wind farm with doubly fed induction generators , 2006 .

[10]  K. C. Almeida,et al.  Optimal power flow solutions under variable load conditions: reactive power cost modeling , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).

[11]  Antonio J. Conejo,et al.  A clipping-off interior-point technique for medium-term hydro-thermal coordination , 1999 .

[12]  G. Tapia,et al.  Modeling and control of a wind turbine driven doubly fed induction generator , 2003 .

[13]  S. Granville,et al.  Application of interior point methods to power flow unsolvability , 1996 .

[14]  Ana Estanqueiro,et al.  How to prepare a power system for 15% wind energy penetration: the Portuguese case study , 2006 .

[15]  M. Carrion,et al.  A computationally efficient mixed-integer linear formulation for the thermal unit commitment problem , 2006, IEEE Transactions on Power Systems.