Optimal Energy-Storage Configuration for Microgrids Based on SOH Estimation and Deep Q-Network

Energy storage is an important adjustment method to improve the economy and reliability of a power system. Due to the complexity of the coupling relationship of elements such as the power source, load, and energy storage in the microgrid, there are problems of insufficient performance in terms of economic operation and efficient dispatching. In view of this, this paper proposes an energy storage configuration optimization model based on reinforcement learning and battery state of health assessment. Firstly, a quantitative assessment of battery health life loss based on deep learning was performed. Secondly, on the basis of considering comprehensive energy complementarity, a two-layer optimal configuration model was designed to optimize the capacity configuration and dispatch operation. Finally, the feasibility of the proposed method in microgrid energy storage planning and operation was verified by experimentation. By integrating reinforcement learning and traditional optimization methods, the proposed method did not rely on the accurate prediction of the power supply and load and can make decisions based only on the real-time information of the microgrid. In this paper, the advantages and disadvantages of the proposed method and existing methods were analyzed, and the results show that the proposed method can effectively improve the performance of dynamic planning for energy storage in microgrids.     

氦原子及类氦离子基态的二参数变分法研究

提出了一种计算氦原子及类氦离子基态能量和波函数的二参数变分法,包括试探波函数的设计和基态能量表达式的推导,并用Mathematica 5.0软件的优化计算功能方便快捷地计算出基态能量,将计算结果与实验结果和部分所列文献的结果进行对比.结果表明,本文所得精度较高,变分参数个数较少.同时强调交换对称性和量子态的交缠在双电子原子体系问题中的重要性.     

一种通用的数据采集系统设计及其FPGA实现

基于多相滤波技术和能量检测方法,完成了一种通用的数据采集系统设计及其FPGA实现,可兼容低速、高速和突发信号的采集。仿真和实测结果表明,该系统满足实际需要。     

A signal theory approach to the space and frequency variant filtering performed by the human visual system

A mathematical representation is given of the processing performed by the peripheral nervous cells of the human visual system. This representation consists essentially of a set of shift-variant convolutions, implying non-uniform resolutions in both the space and frequency domains. A remarkable property of such “convolutions” is the form-invariance of their outputs with respect to (size) linear scalings of the inputs. It is shown that this latter property is a necessary support of the hypothesis according to which the visual system translates linear scalings of the (retinal) inputs into shifts of the (cortical) outputs.     

HFC网络MAC协议的三叉树冲突化解算法分析

对HFC网络中普遍采用的三叉树冲突化解算法进行分析，介绍树冲突化解算法的两种栈管理模式：FIFO(先进先出)模式和LIFO(后进先出)模式，并举例说明FIFO和LIFPO的冲突化解过程。     

同步扫描水下激光成像的角分辨率极限

同步扫描水下激光成像技术是一种能有效抑制后向散射的水下成像技术,它采用高度准直的激光束照明水下目标,通过扫描扩展横向视场,结合载体的纵向运动得到目标的二维灰度图像。建立了目标反射率的一维理论模型,通过该模型分析了激光发散角和采样角对同步扫描水下激光成像系统角分辨率的定量影响。结果表明,若激光发散角为δ,并以对比度衰减至原始目标的0.2倍为下限,则系统的角分辨率可达0.6δ。     

Fe膜硫化法制备FeS_2薄膜

由于ＦｅＳ２具有窄的禁带宽度（Ｅｇ＝０．９５ｅＶ）和高的吸收系数（α＞６×１０５ｃｍ－１），使它成为一种很有发展前途的太阳能材料。本文主要介绍了用射频溅射制备铁膜，然后在真空中（１０－１Ｐａ），通过控制时间和温度进行硫化。经ＸＲＤ和ＡＥＳ对薄膜进行分析，表明试样在硫化温度Ｔ＝４００℃，时间ｔ＝４８ｈ的条件下，Ｆｅ膜转变为ＦｅＳ２膜     

TeO_2非同向声光可调谐德光器的成像分辨率

研究了非同向声光可调谐滤光器的成像分辨率和影响成像分辨率的因素。计算了ＴｅＯ２非同向声光可调谐滤光器的衍射角展宽ΔＱｄ与带通Δλ的关系。所得结果有助于非同向成像用的声光可调谐滤光器的设计。     

一种基于信誉和能量综合评价模型的ZigBee网络

为有效解决ZigBee网络对于内部攻击缺少防范的问题,并兼顾网络性能受制于有限节点能量的不足,文章在RFSN模型的基础上,提出一种基于节点通信行为、历史评价和能量的综合评价模型,进而针对不同攻击行为给出相应的路由选择方案及监测标准。仿真实验表明,该模型比RFSN模型更能快速准确地识别出恶意节点。     

可程控核能谱信号放大器设计

为了提高能谱测量系统中放大成形部分的灵活性,采用单片机控制DAC与一级放大结合的方法,研制一种放大倍数可程控的核能谱信号放大器,使其能同时适用于X荧光仪,伽玛谱仪等核能谱测量仪器,实现0～100倍程控放大。试验测试结果表明,设计电路完全达到设计指标要求。