A novel time-history optimization control method for power control of wind turbines based on aging evaluation

With the increase of service life, the performance degradation of wind turbines is inevitable due to natural aging. Achieving optimal power control throughout the lifecycle remains a challenge. To address this issue, this paper proposes a novel time-history optimization control (THOC) method for power control of aging wind turbines. This THOC method innovatively utilizes existing SCADA data to quantify aging effects and dynamically adjusts the speed-power control curve according to the result of the aging evaluation. As a purely data-driven solution, no additional hardware is required, demonstrating strong potential for practical field applications. Field SCADA data is preprocessed from four aspects to enhance its reliability. Also, a new parameterized model for aerodynamic performance analysis is established for simulation. SCADA data-based degradation investigation and simulation of THOC are carried out. The investigation of field data shows that the performance of wind turbines obviously degrades during their service period. The power output can be effectively improved by the presented THOC method. For instance, under stable wind speed conditions, when the degradation levels are 5 %, 10 %, 15 %, 20 %, 25 %, and 35 %, the respective power increase rates (PIR) are 0.05 %, 0.19 %, 0.48 %, 0.92 %, 1.55 %, and 2.46 %.