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

Authors

Gao Feng, School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China;
Wang Wei, School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China;
Xinmei Ling, School of Control and Computer Engineering, North China Electric Power University, Changping District, Beijing 102206, China;

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.

Recommended Citation

Feng, Gao; Wei, Wang; and Ling, Xinmei (2020) "Parameters Optimization for Variable Speed and Pitch Controller of Wind Turbine Based on Bladed," Journal of System Simulation: Vol. 28: Iss. 7, Article 22.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss7/22

First Page

1644

Revised Date

2015-11-12

DOI Link

https://doi.org/

Last Page

1651

CLC

TM614

Recommended Citation

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.