Research on the wind turbine load shedding control based on Model Predictive Control algorithm
- DOI
- 10.2991/icmmcce-17.2017.140How to use a DOI?
- Keywords
- Wind turbine; Model Predictive Control(MPC); Load Alleviation.
- Abstract
With the increasing capacity of wind turbines, the key parts of wind turbine bear the increasing load, and the structural reliability have become increasingly demanding, thus, Requirements of wind turbine control system control algorithm, can not only realize power optimization control, also can achieve down load control. Based on the theory of model prediction, design a nonlinear, variable parameter, wind turbines model predictive controller for transmission chain load slow target, designed the Matlab and TUV GL bladed joint simulation model predictive controller. Case study adopted 2 MW doubly-fed wind power unit model parameter, design variable pitch model predictive controller respectively MPC and MMPC composite model predictive controller, and simulation comparison and application of a wide range of PI control, it is shown the results that the model predictive control to reduce the wind turbine speed fluctuation amplitude, leading to smaller gear dynamic torque ripple; With the soft logic composite model predictive control algorithm, action frequency of variable pitch control is decreased.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Zhonglei Chen AU - De Tian AU - Yuwei Zhang AU - Ying Deng PY - 2017/09 DA - 2017/09 TI - Research on the wind turbine load shedding control based on Model Predictive Control algorithm BT - Proceedings of the 2017 5th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 2017) PB - Atlantis Press SP - 776 EP - 782 SN - 2352-5401 UR - https://doi.org/10.2991/icmmcce-17.2017.140 DO - 10.2991/icmmcce-17.2017.140 ID - Chen2017/09 ER -