Title :
Iterative Adapting Power Control for Wind Energy Converters Based on Stochastic Optimization
Author :
Sourkounis, C. ; Ni, B.
Author_Institution :
Ruhr-Univ., Bochum
Abstract :
A power control procedure for variable speed wind power converters is developed, which minimizes electric power fluctuation at maximum energy yield. These aims are achieved on base of iterative adapting control algorithms that constantly updates the frequency distribution of the measured wind speed and the mean value of the DC-link voltage. The results of the new control methods are compared to conventional control methods
Keywords :
adaptive control; iterative methods; optimisation; power control; power generation control; stochastic processes; wind power plants; electric power fluctuation; frequency distribution; iterative adapting power control; stochastic optimization; wind energy converters; Electric variables control; Fluctuations; Frequency measurement; Iterative algorithms; Power control; Stochastic processes; Velocity measurement; Voltage control; Wind energy; Wind speed; adaptive control; optimal control; stochastic optimal control;
Conference_Titel :
Probabilistic Methods Applied to Power Systems, 2006. PMAPS 2006. International Conference on
Conference_Location :
Stockholm
Print_ISBN :
978-91-7178-585-5
DOI :
10.1109/PMAPS.2006.360241
