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基于瑞利概率分布的风力发电系统中组合风速的改进及建模仿真 被引量:7
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作者 道日娜 孟克其劳 +2 位作者 张占强 马建光 贾大江 《可再生能源》 CAS 北大核心 2014年第4期461-465,共5页
风速作为风力发电机组的输入信号,其模拟的正确性直接影响着整个风力发电系统的性能分析与研究。通常计算机仿真所得风速是通过对不同风速的简单组合而实现的某个地区及时间段的平均风速,仿真风速无法体现自然风的多样性。针对此问题,... 风速作为风力发电机组的输入信号,其模拟的正确性直接影响着整个风力发电系统的性能分析与研究。通常计算机仿真所得风速是通过对不同风速的简单组合而实现的某个地区及时间段的平均风速,仿真风速无法体现自然风的多样性。针对此问题,文章提出一种实现自然风的方法。依据某风电场风资源评估报告所给出的风频分布曲线,以瑞利分布规律随机配置各种风速信号,在Matlab/Simulink的运行环境下,仿真出改进的风速,使不同风速随机分配,并且在某个时间段内各种风速出现的概率符合瑞利概率分布。据此方法所得风速更加接近实际自然风,且涵盖从切入风速到切出风速范围内所有风速类型,对风力发电系统的性能分析与研究具有一定的实际意义。 展开更多
关键词 瑞利概率分布 平均风速 组合风速 风资源评估报告 Matlab Simulink
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Effect of wave spectrum width on the probability density distribution of wind-wave heights
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作者 刘亚豪 侯一筠 +1 位作者 胡珀 刘泽 《Chinese Journal of Oceanology and Limnology》 SCIE CAS CSCD 2015年第5期1124-1131,共8页
The probability distribution of wave heights under the assumption of narrowband linear wave theory follows the Rayleigh distribution and the statistical relationships between some characteristic wave heights, derived ... The probability distribution of wave heights under the assumption of narrowband linear wave theory follows the Rayleigh distribution and the statistical relationships between some characteristic wave heights, derived from this distribution, are widely used for the treatment of realistic wind waves. However, the bandwidth of wave frequency influences the probability distribution of wave heights. In this paper, a wave-spectrum-width parameter B was introduced into the JONSWAP spectrum. This facilitated the construction of a wind-wave spectrum and the reconstruction of wind-wave time series for various growth stages, based on which the probability density distributions of the wind-wave heights were studied statistically. The distribution curves deviated slightly from the theoretical Rayleigh distribution with increasing B. The probability that a wave height exceeded a certain value was clearly smaller than the theoretical value for B≥0.3, and the difference between them increased with the threshold value. The relation between the Hs/σ ratio and B was investigated statistically, which revealed that the Hs/σ ratio deviated from 4.005 and declined with B. When B reached 0.698 1, the Hs/σ ratio was 3.825, which is about 95.5% of its original value. This indicates an overestimation in the a potential method for improving the accuracy of the Hs extremely large waves under severe sea states. prediction of Hs from Hs=4.005σ, and provides remote sensing retrieval algorithm, critical for 展开更多
关键词 wave-spectrum width probability distribution of wave heights significant wave height
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