Parameters Optimization for Variable Speed and Pitch Controller of Wind Turbine Based on Bladed

Abstract

Abstract: Due to nonlinearity and time-varying parameters of wind power system, its controller parameters are hard to be calculated and tuned during the process of design and optimization. The linear model which is suitable for parameters tuning was built through model linearization of Bladed and model reducing-order algorithm. The PI parameter was tuned with the IM-PSO (Immune Memory Particle Swarm Optimization). Moreover, the gain coefficient of optimal torque control and the gain divisor of adaptive PI pitch control conducted optimizing calculation based on the identification parameters of Bladed. A set of optimization method for variable speed and pitch controller of wind turbine was established. The simulation results show the validity and advantages of the proposed methods.

Key words: wind turbine, Bladed, controller, optimization, immune memory particle swarm optimization

CLC Number:

TM614

Gao Feng, Wang Wei, Ling Xinmei. Parameters Optimization for Variable Speed and Pitch Controller of Wind Turbine Based on Bladed[J]. Journal of System Simulation, 2016, 28(7): 1644-1651.

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