基于太阳形与光学误差的光伏微电网稳定性评估模型

光伏微电网的稳定性评估是确保系统可靠运行的关键,然而光伏微电网中存在着太阳形与光学误差等不确定因素给系统稳定性带来挑战。提出了一种基于太阳形与光学误差的光伏微电网稳定性评估模型,旨在准确评估系统的稳定性,并为系统的优化提供参考。首先建立基于真实太阳形状的集中磁通分布模型。然后结合雾度、光学误差、阴影和遮挡效应等光学误差因素建立光伏微电网稳定性评估模型。最后,本模型在实际光伏微电网中进行了验证,通过收集系统运行数据和太阳形、光学误差数据,将其输入到模型中进行评估。实验结果表明,该模型能够准确评估光伏微电网的稳定性,通过调整系统组件、优化光学系统和调整运行策略等方式,可以显著提高光伏微电网的稳定性和可靠性。

Investigation of Mg^2＋/Li^＋ Separation by Nanofiltration

The Mg2+/Li+/Cl solutions were filtrated with a commercially available DK nanofiltration membrane to investigate the possibility to enrich the lithium component.The investigation was significant as such an approach might be a competing substitute for the present lithium purification industry and the environmental protection purpose.The Donnan steric pore model(DSPM) was implemented for the prediction.The separation of Mg2+/Li+was mainly affected by the working pressure(or the permeation flux) and a limiting separation factor was found around 0.31.The effective membrane charge density was evaluated and its dependence on the permeation flux as well as the ion pattern was discussed.For predicting an actual separation of electrolytes,the experimental investigation seems necessary for the reliability and efficiency.