控制理论(社会学)
灵敏度(控制系统)
扭矩
涡轮机
塔楼
弯矩
力矩(物理)
功率(物理)
缩小
风力发电
工程类
结构工程
计算机科学
控制(管理)
电气工程
程序设计语言
人工智能
物理
热力学
机械工程
经典力学
量子力学
电子工程
作者
Yingwei Wang,Yufeng Guo,Dongrui Zhang
标识
DOI:10.1016/j.ijepes.2021.107751
摘要
Frequency regulation adjusts the power or torque of the wind turbine generator (WTG) without considering the operating dynamics of WTG’s shaft and tower, which results in a significant increase in the fatigue load experienced by the shaft torque and tower bending moment. In that, this paper proposes an optimal ancillary control (OAC) method to mitigate the above-mentioned fatigue load. The establishment of the OAC method includes the improvement of fatigue load sensitivity calculation accuracy and the formulation of optimization objective and constraints. Most importantly, the dual-mass drive train and wind speed fluctuations are considered by the fatigue load sensitivity. Moreover, the minimization of the fluctuation of main shaft torque and tower fore-aft bending moment is employed as the optimal objective. Finally, the dynamic adjustment of the power reference is reflected through the constraints. As a result, the OAC method can significantly reduce the WTG fatigue load and thus improve the system frequency stability. Case studies are conducted under various working conditions. By analyzing the damage equivalent load, rainflow cycles and frequency response, the effectiveness of the proposed method is verified.
科研通智能强力驱动
Strongly Powered by AbleSci AI