摘要
基于华北电网实测数据,定性分析风电功率波动量、波动率、变化速率3个量化指标,在不同装机容量和不同差分时间尺度下的波动特性。同时采用二次滚动平均法提取实测风电场输出功率的分钟级分量,利用正态分布函数进行拟合,研究不同装机容量和不同滚动窗口时的风电功率分钟分量概率分布情况。结果表明,风电功率波动在时间尺度上分布具有一定趋势性,且与风电场规模大小紧密相关,合理选择风电场装机容量有利于并网时电网的安全稳定运行。
Evaluating the wave characteristics of wind power is the key to ensure the safe and stable operation of wind turbine. Based on the measured data of north China power grid, three quantitative indexes including wind power fluctuation quantity, fluctuation rate and change rate under different installation capacity and different difference time scales were qualitatively analyzed. At the same time, the secondary scrolling average method was used to collect minute- scale wind power, and the normal distribution function was used to fit and research the probability distribution of minute- scale wind power in different installation capacity and different roiling window. The analysis results show that wind power fluctuation in the time scale distribution has a certain trend and is closely related with wind farm size. The reasonable selection of installation capacity of wind farms will benefit stable and safe operation of the power grid.
出处
《太阳能学报》
EI
CAS
CSCD
北大核心
2015年第2期362-368,共7页
Acta Energiae Solaris Sinica
基金
国家自然科学基金(51177046)
河北省自然科学基金(E2011502024)
中央高校基本科研业务费专项(12MS101)
关键词
风电功率
波动特性
量化指标
概率密度分布
正态分布拟合
wind power
wave characteristics
quantitative index
probability density distribution
normal distribution fitting
