论文信息 - Design of PSO Based PI Controller for Wind Turbine Systems

Design of PSO Based PI Controller for Wind Turbine Systems

This paper implements a strategy to obtain the proportional-integral (PI) optimal operating point and find the description of the stability regions in the parameters space. In order to do this, the particle swarm optimization (PSO) algorithm has been used in this study. The intelligent algorithm which is artificial learning mechanism could find optimal operating points and generates the function of the best operating parameter in the PI control stability region. Then the graphical method can provide boundaries of the PI type controller space for close-loop wind turbine generator (WTG) systems. The proposed techniques are presented by using simulation results to the WTG model.

[1] Zhiwei Gao,et al. Synthesis on PI-based pitch controller of large wind turbines generator , 2011 .

[2] Long Chen,et al. Application of an improved PSO algorithm to optimal tuning of PID gains for water turbine governor , 2011 .

[3] Geng Yang,et al. Output Power Control for Variable-Speed Variable-Pitch Wind Generation Systems , 2010, IEEE Transactions on Energy Conversion.

[4] H. Camblong. Digital robust control of a variable speed pitch regulated wind turbine for above rated wind speeds , 2008 .

[5] Chia-Nan Ko,et al. Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm , 2009, Neurocomputing.

[6] Mansour Sheikhan,et al. RBF neural network based PI pitch controller for a class of 5-MW wind turbines using particle swarm optimization algorithm. , 2012, ISA transactions.