Damping forced oscillations in power system via interline power flow controller with additional repetitive control

With the continuous expansion of power systems and the application of power electronic equipment, forced oscillation has become one of the key problems in terms of system safety and stability. In this paper, an interline power flow controller (IPFC) is used as a power suppression carrier and its mechanism is analyzed using the linearized state-space method to improve the system damping ratio. It is shown that although the IPFC can suppress forced oscillation with well-designed parameters, its capability of improving the system damping ratio is limited. Thus, combined with the repetitive control method, an additional repetitive controller (ARC) is proposed to further dampen the forced power oscillation. The ARC control scheme is characterized by outstanding tracking performance to a system steady reference value, and the main IPFC controller with the ARC can provide higher damping, and further reduce the amplitude of oscillations to zero compared with a supplementary damping controller (SDC). Simulation results show that the IPFC with an ARC can not only greatly reduce the oscillation amplitude, but also actively output the compensation power according to the reference value of the ARC tracking system.     

Effective DOA Estimation Under Low Signal-to-Noise Ratio Based on Multi-Source Information Meta Fusion

Efficiently performing high-resolution direction of arrival (DOA) estimation under low signal-to-noise ratio (SNR) conditions has always been a challenge task in the literatures. Obvi-ously, in order to address this problem, the key is how to mine or reveal as much DOA related in-formation as possible from the degraded array outputs. However, it is certain that there is no per-fect solution for low SNR DOA estimation designed in the way of winner-takes-all. Therefore, this paper proposes to explore in depth the complementary DOA related information that exists in spa-tial spectrums acquired by different basic DOA estimators. Specifically, these basic spatial spec-trums are employed as the input of multi-source information fusion model. And the multi-source in-formation fusion model is composed of three heterogeneous meta learning machines, namely neural networks (NN), support vector machine (SVM), and random forests (RF). The final meta-spec-trum can be obtained by performing a final decision-making method. Experimental results illus-trate that the proposed information fusion based DOA estimation method can really make full use of the complementary information in the spatial spectrums obtained by different basic DOA estim-ators. Even under low SNR conditions, promising DOA estimation performance can be achieved.     

含冰蓄冷空调的CCHP微电网优化调度

冷热电联供(CCHP)型微电网作为综合能源系统的基本物理构成,可实现可再生能源的消纳和多能互补,是实现能源可持续发展和改善生态环境的重要手段。考虑经济性和环保性,以综合运行成本最小为目标,搭建了含冰蓄冷空调的CCHP型微电网优化调度模型采用改进粒子群算法进行求解,得到不同调度方式下系统的产能方案。通过算例分析对比了运行策略对于优化结果的影响,并验证了优化模型的有效性。     

高职英语程序化教学之建构

以培养学生实际应用英语的能力为目标,侧重职场环境下交际能力的培养,使学生逐步提高用英语进行交流与沟通的能力,这是高职英语的课程目标定位。但是目前高职高专学生生源质量普遍降低,基础薄弱,直接影响对英语的进一步学习,并最终影响学生职场能力的发展。针对现状,通过研究英语语言的结构,以程序化知识为理论基础,建构行之有效的教学内容与教学过程。     

面向应用型人才培养的Python在线开放课程群资源结构模型研究

智能时代和新工科建设背景下,很多高校都在探索应用型人才的培养模式,广泛建设在线开放课程。程序设计能力作为融入智能时代科技主流的基本技能,在人才培养过程中受到广泛关注。以"Python语言程序设计"课程为依托,以培养应用型人才为目标导向,构建了Python在线开放课程群资源结构模型,并在新冠肺炎疫情防控背景下,面向本校专业学生进行应用实践。通过评价证明该模型在提升应用型人才创新实践能力方面效果显著。     

基于离散单元法的锥形双螺杆输送及混合机理分析

锥形双螺杆挤出机结构模型与其他普通螺杆挤出机相差很大且构成独特,近年来在聚合物加工行业中发挥了很大的作用。设计螺槽深度与螺杆半径比为1∶2、2∶5、1∶3的三种锥形双螺杆挤出机,通过离散单元法模拟了锥形双螺杆挤出机挤出LDPE、HDPE两种颗粒的过程,分析了锥形双螺杆挤出机螺槽内颗粒速度的变化,同时在不同参数下对三种锥形双螺杆挤出机的输送效率进行了比较。利用EDEM软件对LDPE和HDPE颗粒进行离散元分析,得出不同时刻两种颗粒在三种锥形双螺杆挤出机内的混合情况。结果表明,螺槽深度与螺杆半径比为1∶2的锥形双螺杆挤出机的混合效率优于螺槽深度与螺杆半径比为2∶5、1∶3的锥形双螺杆挤出机。     

Modulation on the electrical and optical properties of Na and Rh co-doped Ruddlesden-Popper layered Ca3Ti2O7

Layered perovskite Ca_2.91Na_0.09Ti_2-xRh_xO₇ (x?=?0.00, 0.02, 0.04, 0.06) were synthesized by a conventional solid-state reaction. Room temperature ferroelectricity has been confirmed. The remanent polarization increases with an increase of Rh content, which is due to a larger oxygen octahedral distortion by Rh doping. The coercive field increases with Rh doping as the pinning effect of oxygen vacancies reduce the mobility of domain wall. Remanent polarization and coercive field are caused by different mechanisms, so it is possible to modulate them independently to meet the requirement of application in ferroelectric field. The concentration of oxygen vacancy increased with Rh doping, leading to the significant increase of leakage current density. The bandgap of samples doped with Rh drastically decrease and the visible light response of the sample was improved by Rh doping due to the formation of impurity energy levels within the band gap.

     

表面工程技术在导弹武器装备维修中的应用

本文主要介绍铝/F_(46),协合涂层新技术、复合电刷镀Ni—PTFE新工艺、DJB—823电接触保护剂及三防电子器件绝缘清漆在二炮导弹武器装备维修中的应用。     

冷热循环工艺中冷热转移速率对LY12铝合金尺寸稳定性的影响

研究了冷热转移速率对LY1 2铝合金微屈服强度和残余应力的影响。结果表明 ,提高冷热转移速率易使材料中形成稳定的位错组态 ,从而有利于提高微屈服强度 ;对于圆柱和圆环试样 ,提高冷热转移速率不利于降低残余应力。分析认为 ,冷热转移速率应根据工件几何形状和尺寸进行相应调整。     

关于超耐候性BA01—02钛白粉的研制

采用高温淬火方法制备了Ｔｃ在２７．４Ｋ至９２．４Ｋ之间的一组不同氧含量的ＰＭＰ（粉末熔融工艺）法ＹＢＣＯ超导体。通过对这些超导体样品的磁滞回线及不可逆线的研究发现，随着氧空位的增加，超导体的磁通钉扎力减小