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多参数的风电输出净功率波动性概率分布研究

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风电场在输出风电净功率时,风速、湍流强度以及风剪切等因素会导致并网输出功率的波动性增加,进而增加配电网的电压.为保障配电网安全运行,研究多参数的风电输出净功率波动性概率分布.根据影响风电功率波动的风速、湍流强度以及风剪切系数的分析结果,使用复数据经验模态分解方法提取风机输出功率波动量.将风速、风剪切系数以及湍流强度等参数作为约束条件,建立并校准风电输出净功率波动性概率分布模型,以实现对风电输出净功率波动性概率分布特性的精准获取.试验结果表明,所提模型的概率分布误差在0.01%以内,精度较高.该模型的波动概率值与风电场功率波动性概率分布的波动概率值相似.该模型效果较好.
Study of Volatility Probability Distribution of Multiparametic Net Wind Power Output
When wind farms output net wind power,wind speed,turbulence intensity,and wind shear and other factors lead to an increase in the volatility of grid-connected output power,which in turn increases the voltage of the distribution grid.To ensure the safe operation of the distribution network,a volatility probability distribution of multiparameter net wind power output is investigated.According to the analysis results of wind speed,turbulence intensity and wind shear coefficient which affect the wind power fluctuation,the wind turbine output power fluctuation is extracted by using the empirical modal decomposition method of complex data.Wind speed,wind shear coefficient,and turbulence intensity and other parameter are used as the constraints,and the probability distribution model of the net output power volatility of the wind power is established and calibrated to achieve the accurate acquisition of the probability distribution characteristics of the net output power fluctuation of the wind power.The experimental results show that the probability distribution error of the model is within 0.01%,with high accuracy.The fluctuation probability value of the model is like that of the fluctuation probability value of the wind farm power volatility probability distribution.The model is more effective.

Wind power generationParameter constraintsNet output powerVolatility probability distributionEmpirical modal decomposition

张永伟

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国华巴彦淖尔(乌拉特中旗)风电有限公司,内蒙古巴彦淖尔 015300

风力发电 参数约束 输出净功率 波动性概率分布 经验模态分解

2024

自动化仪表
中国仪器仪表学会 上海工业自动化仪表研究院

自动化仪表

CSTPCD
影响因子:0.655
ISSN:1000-0380
年,卷(期):2024.45(6)