分布式光伏受天气影响较大,测算110kV供电区域的分布式光伏承载能力,对区域供电来说意义重大。基于此,提出基于分类与回归树(calssification and regression tree,CART)的110kV供电区域分布式光伏承载能力测算模型。该模型以分布式电源...分布式光伏受天气影响较大,测算110kV供电区域的分布式光伏承载能力,对区域供电来说意义重大。基于此,提出基于分类与回归树(calssification and regression tree,CART)的110kV供电区域分布式光伏承载能力测算模型。该模型以分布式电源输出功率、区域分布式电源发电量占比、局部分布式电源线损增量等数据为基础,利用CART决策树建立110kV供电区域分布式光伏承载能力测算模型,并使用改进鲸鱼优化算法求解测算结果。经实验测试发现,该模型对分布式光伏承载能力的测算精准度较高,可有效测算不同实验区域在不同季节时的分布式光伏承载能力,具有较高的应用价值。展开更多
The relative coupling efficiency of top two-dimensional metal coupling grating for mid-wave quantum well infrared photodetector is calculated by finite difference time domain algorthms. The relative coupling efficienc...The relative coupling efficiency of top two-dimensional metal coupling grating for mid-wave quantum well infrared photodetector is calculated by finite difference time domain algorthms. The relative coupling efficiency with respect to the grating parameters, such as grating period, duty ratio, and grating depth, is computed. The calculated results show that the relative coupling efficiency will reach the largest value for the 4.1 μm incident infrared light when taking grating period as 1.3μm, duty ratio as 0.75, grating depth as 0.4 μm.展开更多
文摘分布式光伏受天气影响较大,测算110kV供电区域的分布式光伏承载能力,对区域供电来说意义重大。基于此,提出基于分类与回归树(calssification and regression tree,CART)的110kV供电区域分布式光伏承载能力测算模型。该模型以分布式电源输出功率、区域分布式电源发电量占比、局部分布式电源线损增量等数据为基础,利用CART决策树建立110kV供电区域分布式光伏承载能力测算模型,并使用改进鲸鱼优化算法求解测算结果。经实验测试发现,该模型对分布式光伏承载能力的测算精准度较高,可有效测算不同实验区域在不同季节时的分布式光伏承载能力,具有较高的应用价值。
文摘The relative coupling efficiency of top two-dimensional metal coupling grating for mid-wave quantum well infrared photodetector is calculated by finite difference time domain algorthms. The relative coupling efficiency with respect to the grating parameters, such as grating period, duty ratio, and grating depth, is computed. The calculated results show that the relative coupling efficiency will reach the largest value for the 4.1 μm incident infrared light when taking grating period as 1.3μm, duty ratio as 0.75, grating depth as 0.4 μm.
