Fast Ice Detection for Wind Turbine Blades via the Langevin Equation

The Science of Making Torque from Wind

Fang, Haijun^1 ; Wang, Linpeng^1

Global Digital Energy Center, Envision Energy, 1201 Louisiana Street, Houston

TX

77002, United States^1

关键词: Electrical power;    Fast detections;    High frequency data;    Ice accretion;    Langevin equation;    Reference power curves;    Short periods;    Wind turbine blades;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/753/7/072016/pdf
DOI  :  10.1088/1742-6596/753/7/072016

来源: IOP

【 摘 要 】

In this paper, a software-based algorithm for fast detection of ice on wind turbine blades is developed. The Langevin equation is used to create an entire or partial power curve with the high frequency data of wind speed and electrical power. Such a power curve is called the Langevin Power Curve (LPC). The LPC is obtained periodically. The period can be adjusted to be from 1 minute to 1 hour. For our application, the period is set to 5 minutes to allow enough data to generate an entire or partial LPC and then ice may be detected within a short period of time. The obtained LPC is compared to a reference power curve and then an ice index is calculated given that the condition for ice accretion is met. If the ice index is much higher or lower than 1, it may be concluded that there is ice on the anemometer or the blades of a wind turbine.