摘要
边界层气象因素对运行过程中的风电机组性能和表现具有重要影响。文章利用激光雷达设备对某大型风电场开展了气象观测,针对不同湍流、风切变、日变化和降雨情况下风电机组的功率特性进行了研究。研究结果表明:高湍流在切入风速和额定风速左右会提升或降低机组的功率曲线,并增大输出功率的离散性;高切变在切入风速和额定风速左右均会提升机组的功率曲线,并减小输出功率的离散性;边界层的湍流和风切变等气象要素存在显著的日变化规律,并影响风电机组的功率曲线和输出功率的离散性,表现出日夜不同;降雨天气与非降雨天气相比,总体上提升了机组的功率曲线,并增大了输出功率的离散性。文章的研究结果可为风电项目评估发电量、风电场功率预报等工作提供参考。
The meteorological factors in Atmospheric Boundary Layer （ABL） have profound influences on wind turbines status and performance during the operating process. The Light Detection And Ranging （LiDAR） equipment is used in this paper to carry out meteorological observation in a large scale wind farm, and the wind turbines power performance under different turbulence, wind shear, diurnal variation and precipitation conditions are studied. The study results indicate that： high turbulence can increase or decrease the wind turbines＂ power curve around the cut-in and rated- power wind speed section, and can also increase output power scatters dispersion; high wind shear can increase the wind turbines power curve both around the cut-in and rated-power wind speed section, and can also decrease output power scatters dispersion; ABLs meteorological factors, including turbulence and wind shear, have significant diurnal variations, and the wind turbines＂ power curve and output power scatters＂ dispersion are accordingly impacted, showing day/night differences; compared to the non-precipitation weather, the precipitation weather can increase both the wind turbiness power curve and output power scatters dispersion. This paper＇s study results can provide references for business works like wind power projects energy assessment and wind farms~ output power forecasting.
出处
《可再生能源》
CAS
北大核心
2017年第3期427-436,共10页
Renewable Energy Resources
基金
国家自然科学基金项目(11472272)
