Title :
Drive Train Control for Wind Energy Converters Based on Stochastic Dynamic Optmisation
Author :
Sourkounis, Constantinos ; Ni, Bingchang
Author_Institution :
Res. Group for Power Syst. Technol., Ruhr-Univ., Bochum
Abstract :
A drive train control procedure for variable speed wind power converters, which minimises electric power fluctuations and mechanical peak loads in the drive train at maximum energy yield was developed. These aims are achieved by iterative adapting control based on stochastic dynamic optimisation. The results of the new control methods are compared to conventional control methods
Keywords :
adaptive control; iterative methods; optimisation; power transmission (mechanical); wind power; drive train control; electric power fluctuations; iterative adapting control; maximum energy; mechanical peak loads; stochastic dynamic optimisation; wind energy converters; Automatic control; Control systems; Electric variables control; Energy management; Fluctuations; Mechanical variables control; Optimal control; Power system dynamics; Stochastic processes; Wind energy; adaptive control; stochastic optimal control;
Conference_Titel :
IEEE Industrial Electronics, IECON 2006 - 32nd Annual Conference on
Conference_Location :
Paris
Print_ISBN :
1-4244-0390-1
DOI :
10.1109/IECON.2006.347373
