Work

Active power control for wind turbines via wind speed probability distribution-based equilibrium point optimization

Year: 2025

Type: article

Abstract: Accurately tracking power command while minimizing pitch action under safe operational constraints remains one of the key challenges in active power control (APC) research of wind turbines (WTs). This requires the WT to judge the potential over-limit risk of the rotor speed accurately and not to regulate the pitch angle when unnecessary. The APC based on passive rotor speed variation provides a feasible scheme for realizing the latter. However, the existing methods mainly rely on empirical design to judge the necessity of pitch angle regulation, which can easily lead to power drops or unnecessary pitch action. Therefore, an enhanced APC strategy via wind speed probability distribution-based equilibrium point optimization is proposed in this paper, and the rotor speed-pitch angle curve corresponding to the stable equilibrium points is segmentally designed according to the aerodynamic power change and the maximum pitch action rate. Combined with the predicted wind speed probability distribution, the necessity of pitch angle regulation under different conditions is quantitatively analyzed by constructing and solving the stochastic optimization model of the rotor speed-pitch angle curve. Based on the rotor speed range of non-pitch regulation corresponding to the optimal rotor speed-pitch angle curve, the proposed method can judge the potential over-limit risk of the rotor speed and regulate the pitch angle in time when the risk exceeds the allowable range, effectively reducing power drops and rotor overspeed while reducing the amount of pitch action. The improvement effect of the proposed method is verified through simulation on the NREL 5 MW WT model.

Source: International Journal of Electrical Power & Energy Systems

DOI: 10.1016/j.ijepes.2025.111425

Authors: Huimin Gu, Zaiyu Chen, Minghui Yin, Qun Li, Qiang Li, Dawei Zhao

Institutions: Nanjing University of Science and Technology, State Grid Jiangsu Electric Power (China)

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,920