Modelling analysis in power system small signal stability considering uncertainty of wind generation

The probabilistic small signal stability analysis (PSSSA) considering uncertainty and randomness of wind generation is conducted in this paper. Firstly, the small signal model for wind farm with Doubly-fed Induction Generator (DFIG) type is presented. The stator flux-oriented vector control based method is utilized to implement stator active and reactive powers control in modelling rotor-side converter control strategy. Secondly, a probabilistic small signal stability analysis method based on Monte Carlo simulation is introduced to analyze the influence of uncertainties of wind generation. A case study is carried out on the IEEE New England test system to demonstrate the effectiveness and validity of the proposed model and method. Finally, some preliminary conclusions and comments were drawn based on the numerical results.

[1]  K. W. Wang,et al.  Probabilistic eigenvalue sensitivity indices for robust PSS site selection , 2001 .

[2]  Z.Y. Dong,et al.  Probabilistic small signal analysis using Monte Carlo simulation , 2005, IEEE Power Engineering Society General Meeting, 2005.

[3]  Henk Polinder,et al.  Dynamic modelling of a wind turbine with doubly fed induction generator , 2001, 2001 Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.01CH37262).

[4]  Eduard Muljadi,et al.  The History and State of the Art of Variable-Speed Wind Turbine Technology , 2001 .

[5]  I. Erlich,et al.  Assessment and Enhancement of Small Signal Stability Considering Uncertainties , 2009, IEEE Transactions on Power Systems.

[6]  Thomas Ackermann,et al.  Wind Power in Power Systems , 2005 .

[7]  S. Iniyan,et al.  A review of wind energy technologies , 2007 .

[8]  Yixin Ni,et al.  Modelling Analysis in Power System Small Signal Stability with Grid-Connected Wind Farms of DFIG Type , 2008 .

[9]  J.A.P. Lopes,et al.  Impact of large scale wind power integration on small signal stability , 2005, 2005 International Conference on Future Power Systems.

[10]  K. M. Tsang,et al.  Improved probabilistic method for power system dynamic stability studies , 2000 .

[11]  Z.Y. Dong,et al.  A novel grid computing approach for probabilistic small signal analysis , 2006, 2006 IEEE Power Engineering Society General Meeting.

[12]  Yongchuan Zhang,et al.  Small signal stability analysis of large scale variable speed wind turbines integration , 2008, 2008 International Conference on Electrical Machines and Systems.

[13]  M. Pai Energy function analysis for power system stability , 1989 .

[14]  Ping Ju,et al.  Modeling and Control of Wind Turbine with Doubly Fed Induction Generator , 2006, 2006 IEEE PES Power Systems Conference and Exposition.

[15]  B.C. Pal,et al.  Modelling and small-signal analysis of a grid connected doubly-fed induction generator , 2005, IEEE Power Engineering Society General Meeting, 2005.

[16]  Andrés Feijóo,et al.  A third order model for the doubly-fed induction machine , 2000 .

[17]  Chen Wang,et al.  Small signal stability analysis considering grid-connected wind farms of DFIG type , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.

[18]  Haritza Camblong,et al.  Connection requirements for wind farms : A survey on technical requierements and regulation , 2007 .

[19]  Costas Vournas,et al.  Effect of wind parks with doubly fed asynchronous generators on small-signal stability , 2009 .

[20]  Hui Zhou,et al.  Power system probabilistic small signal stability analysis using two point estimation method , 2007, 2007 42nd International Universities Power Engineering Conference.

[21]  Ronald L. Wasserstein,et al.  Monte Carlo: Concepts, Algorithms, and Applications , 1997 .

[22]  L. Rouco,et al.  Dynamic patterns and model order reduction in small-signal models of doubly fed induction generators for wind power applications , 2006, 2006 IEEE Power Engineering Society General Meeting.

[23]  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.

[24]  Paul Parker,et al.  Heuristic and probabilistic wind power availability estimation procedures: Improved tools for technology and site selection , 2007 .