基于非时序模型的新能源消纳能力评估方法

随着风电和光伏装机容量的快速增长,弃风和弃光问题日益突出,开展新能源消纳能力研究,建立消纳能力量化评估体系对电网调度的运行和控制工作有着重要的意义。文中提出了一种基于非时序分析模型的新能源消纳能力量化评估方法。该方法基于概率分析理论,首先利用阿基米德Copula函数构建了新能源理论出力的概率分布,通过负荷特性构建了系统新能源消纳空间的概率分布,进而得到了系统新能源弃电功率的概率分布。然后,再通过新能源弃电功率的概率分布计算得到新能源弃电率,评估系统的新能源消纳能力。最后,基于EPRI 36机组系统验证了所提方法的正确性和有效性,并分析了负荷、新能源装机容量、常规机组调峰率以及备用水平对弃电率的影响。     

考虑日周期性影响的光伏功率爬坡事件非精确概率预测

光伏功率爬坡事件的可靠预测对电力系统运行决策至关重要。针对现有光伏发电功率爬坡事件预测存在误报与漏报的问题,提出了一种考虑日周期性影响的光伏功率爬坡事件非精确概率预测方法。首先,定义了新的光伏爬坡特征量,以有效剔除光伏发电功率中的日趋势性变化。进而,为了避免光伏爬坡样本数据有限可能引发的预测误差,通过结构学习构建了最优信度网络,对光伏功率爬坡事件进行非精确概率预测;其中,信度网络节点关联的非精确条件概率由多状态随机变量的非精确狄利克雷模型统计得到。最后,根据给定气象条件,推理计算各爬坡状态发生的概率区间。基于某光伏电站数据的算例仿真验证了所述方法的有效性,表明所提方法可有效捕捉光伏发电功率变动中由气象条件引发的突变事件。     

一种计及光伏发电功率不确定性的实时调度方法

大规模光伏发电注入电力系统,其功率的不确定性给实时调度带来了挑战,进而对光伏发电功率和负荷预测的精度提出了更高的要求。针对此问题,文章提出一种计及光伏发电功率不确定性的实时调度方法。首先,基于实时调度的有效稳态安全区域法和线性潮流模型,提出一种计及电压幅值的实时调度模型;其次,通过鲁棒优化等方式将原问题转化为确定性的线性规划问题求解;然后,根据所提方法,分析光伏发电功率和负荷预测精度对于电力系统实时调度安全性和经济性的影响;最后,通过改进IEEE 9节点系统和IEEE 118节点系统进行算例分析,说明所提方法的有效性和高效性。     

一种新型光伏电站高压电缆施工装置的研发

文章根据现阶段生产任务的需要,立足现有的电缆施工方式及方法,研制出一种新型的用于光伏电站的高压电缆施工装置,并提出三种方案进行定性定量分析,选取最佳方案并对最佳方案进行细化确定基本结构。在现有工程中进行技术推广,并跟踪使用效果,证明新装置提高了施工效率,降低了施工成本,效益显著。     

FPGA-based test bed for measurement of AM/AM and AM/PM distortion and modeling memory effects in RF PAs

Using a field-programmable gate array (FPGA) development board, a digital signal processor (DSP) builder, and the phase-to-amplitude conversion principle, a low-cost system for measuring the amplitude-to-amplitude (AM/AM) and amplitude-to-phase (AM/PM) distortion curves of radio frequency (RF) power amplifiers (PAs) is presented. The state of the art based on the measurements and preliminary studies of AM/AM and AM/PM distortion curves is discussed. A full digital control of the test bed simulated/emulated in Matlab/Simulink is introduced to recalculate the known AM/AM and AM/PM measurements stored as look-up table (LUT). Finally, the low-cost system comprises the memory polynomial model (MPM) that involves the nonlinearity order and memory effects of real PAs.     

The effect of residential solar photovoltaic systems on home value: A case study of Hawai‘i

An investment in solar photovoltaic (PV) is considered a home improvement, and should be reflected in home sales prices. However, uncertainty about PV policies and information asymmetries may result in an imperfect pass-through. Hawai‘i serves as an illustrative case study to assess the impact of PV on home prices because Hawai‘i has the highest number of PV installations per capita nationwide. Applying a hedonic pricing model using home resale and PV building permit data from 2000 to 2013 for Oʻahu, I find that the presence of PV adds on average 5.4% to the value of a home. The value of PV exceeds total average installed costs because many of Hawai‘i's electricity circuits have reached legal limits for PV installations and thus many neighborhoods could technically no longer install additional PV capacity. Therefore, the value of the system goes beyond its capital investment—on average, by $5000—to incorporate expected electricity savings.     

基于铜粉的室温气固反应自生长刺球状半导体Cu_2S纳米线阵列

本研究通过简单的气-固硫化反应对ITO玻璃上涂覆的铜颗粒膜进行硫化反应,得到了大面积的自生长刺球状结构的半导体Cu2S纳米阵列。采用SEM,TEM,EDS、XRD,以及UV-vis等方法对反应生长的半导体Cu2S纳米线阵列的微观结构及光吸收性能进行了系统研究。实验结果表明,合成的Cu2S为刺球状纳米线阵列,纳米刺球的直径分布在50~100μm之间;刺球上的纳米线为单斜晶系的Cu2S单晶,晶体生长方向为[-102];纳米线的平均直径为100nm,长度分布在20~50μm之间。合成的刺球状纳米线阵列具有良好的光吸收性能,反应20小时样品在可见光波长范围内(400~800nm)平均光吸收率达到了93%;反应30小时样品在可见光波长范围内(400~800nm)平均光吸收率达到了92%。同时两种刺球状纳米线阵列结构对于大的光线入射角仍然保持很高的光吸收性能,对光线入射角的变化不敏感。当入射光角度从0°增加到60°时,光吸收率仅下降3%,明显优于文献已报道的规则排列纳米线阵列的光吸收性能。本项研究合成方法简单,工艺可控,成本低,可以采用更广的基体材料。合成的纳米结构具有优良的综合光吸收性能,在光电领域有很好的应用潜力。     

Basic Study on Islanding Detection Method for PV Systems by Harmonic Impedance Detection in Case of Including Induction Motor in Load System

It is important that photovoltaic (PV) systems detect islanding caused by power system faults to ensure electrical safety. Thus we propose a novel islanding detection method which detects the harmonic impedance by injecting harmonic currents synchronized with the exciting current harmonics of the pole transformer. For the case in which an induction motor load is included in the load system, basic experiments on islanding detection and simulation analysis are conducted to verify the effectiveness of the proposed method.     

Modeling of Nonlinear Magnetizing Characteristics of Pole Transformer for Analyzing Islanding Prevention of Photovoltaic System

With increasing penetration of distributed generators such as photovoltaic (PV) systems in distribution systems, it is very important to quickly detect islanding caused by power system faults in order to assure electrical safety. We have developed a nonlinear magnetizing characteristics model of pole transformers for use in analyzing islanding prevention in PV systems. Basic experiments on the islanding detection were performed for verification of the proposed model. Analytical results obtained by the proposed model agreed well with experimental results.