High energy storage properties of lead-free Mn-doped (1-x)AgNbO3-xBi0.5Na0.5TiO3 antiferroelectric ceramics

In this work, 0.2 wt.% Mn-doped (1-x)AgNbO₃-xBi_0.5Na_0.5TiO₃ (x = 0.00–0.04) ceramics were synthesized via solid state reaction method in flowing oxygen. The evolution of microstructure, phase transition and energy storage properties were investigated to evaluate the potential as high energy storage capacitors. Relaxor ferroelectric Bi_0.5Na_0.5TiO₃ was introduced to stabilize the antiferroelectric state through modulating the M₁-M₂ phase transition. Enhanced energy storage performance was achieved for the 3 mol% Bi_0.5Na_0.5TiO₃ doped AgNbO₃ ceramic with high recoverable energy density of 3.4 J/cm³ and energy efficiency of 62% under an applied field of 220 kV/cm. The improved energy storage performance can be attributed to the stabilized antiferroelectricity and decreased electrical hysteresis ΔE. In addition, the ceramics also displayed excellent thermal stability with low energy density variation (<6%) over a wide temperature range of 20−80 °C. These results indicate that Mn-doped (1-x)AgNbO₃-xBi_0.5Na_0.5TiO₃ ceramics are highly efficient lead-free antiferroelectric materials for potential application in high energy storage capacitors.     

RAFNet: RGB-D attention feature fusion network for indoor semantic segmentation

Semantic segmentation based on the complementary information from RGB and depth images has recently gained great popularity, but due to the difference between RGB and depth maps, how to effectively use RGB-D information is still a problem. In this paper, we propose a novel RGB-D semantic segmentation network named RAFNet, which can selectively gather features from the RGB and depth information. Specifically, we construct an architecture with three parallel branches and propose several complementary attention modules. This structure enables a fusion branch and we add the Bi-directional Multi-step Propagation (BMP) strategy to it, which can not only retain the feature streams of the original RGB and depth branches but also fully utilize the feature flow of the fusion branch. There are three kinds of complementary attention modules that we have constructed. The RGB-D fusion module can effectively extract important features from the RGB and depth branch streams. The refinement module can reduce the loss of semantic information and the context aggregation module can help propagate and integrate information better. We train and evaluate our model on NYUDv2 and SUN-RGBD datasets, and prove that our model achieves state-of-the-art performances.     

Optimal configuration of Energy-Efficient Ethernet

The IEEE 802.3az standard provides a new low power mode that Ethernet network interfaces can use to save energy when there is no traffic to transmit. Simultaneously with the final standard approval, several algorithms were proposed to govern the physical interface state transition between the normal active mode and the new low power mode. In fact, the standard leaves this sleeping algorithm unspecified to spur competition among different vendors and achieve the greatest energy savings. In this paper, we try to bring some light to the most well known sleeping algorithms, providing mathematical models for the expected energy savings and the average packet delay inflicted on outgoing traffic. We will then use the models to derive optimum configuration parameters for them under given efficiency constraints.     

500 kV充油海底电缆导体温度分布式光纤传感监测及应用

依据海南联网系统500 kV海底电缆捆绑特殊海底光缆的实际情况,通过分布式光纤传感技术结合经有限元仿真模型优化的IEC60287热路模型的方法可以监测海底电缆内部的温度分布。在实验室中搭建岸上模拟实验平台,利用中压电缆捆绑光纤的结构进行捆绑电缆岸上模拟实验。同时,将经验证的温度监测方法应用于海南联网系统500 kV海底电缆,以C相空气段为例监测捆绑电缆光单元的温度。采用有限元仿真计算电缆表面的温度,根据电缆表面的温度基于热路模型推导出对应的导体温度,得到电缆导体在实际运行过程中的温度变化。岸上模拟实验测量的导体温度与数值计算得到导体温度的误差低于1.77%, 验证了海底电缆导体温度监测方法的准确性。     

计及多能需求的综合能源服务商优化运行策略研究

随着分布式发电技术的不断成熟及发展,未来综合能源服务将是整合不同类型分布式发电并满足用户不同用能需求的有效途径。提出了一种含有多种分布式发电资源同时考虑多用能需求的综合能源服务商优化运行策略模型。首先建立了含有风电、光伏、燃气轮机、电储能、电热泵、辅助锅炉等分布式资源及电、热用能需求的园区综合能源系统优化调度模型;其次计算优化运行后的能源利用效率;最后,分析对比了不同季节、实时电价及天然气价格变化对综合能源服务商运行策略及盈利的影响。仿真结果验证了模型的有效性,其中综合能源服务商的收益对天然气的价格变化更为敏感。     

考虑风电不确定性和机组故障停运风险的两阶段鲁棒机组组合

发电机故障停运是电力系统运行中的不确定事件。目前在含风电鲁棒机组组合中考虑机组故障停运的方法,不同程度地忽略了机组故障停运的概率特征,难以较好描述机组故障停运风险。在含风电鲁棒机组组合模型的基础上,引入电量不足期望以量化机组故障停运风险,基于成本收益分析建立了考虑风电不确定性和机组故障停运风险的两阶段鲁棒机组组合模型,并提出计算电量不足期望的简化模型以提升计算效率。基于改进的IEEE-RTS 26机系统验证所提模型和方法,结果表明该方法能较好考虑风电不确定性和机组故障停运风险的影响,该简化模型能显著减小问题求解规模、缩短计算时间。     

干式空心电抗器匝间电弧性短路故障特征提取及诊断方法研究

针对干式空心电抗器早期匝间短路故障,通过分析电抗器匝间电弧性短路过程中的状态参数变化规律,提出了基于时变参数模型的电抗器故障特征提取及诊断方法。首先建立了基于Mayr电弧模型的电抗器匝间短路故障的时变电路模型,并利用傅里叶变换分析了故障电抗器等效电感的频谱特性,发现其等效电感不再恒定而是存在周期性振荡。然后利用时变电路状态方程求解方法,分析在工频激励下故障电抗器输出电流的转移解、零状态响应及频谱特性,证明在匝间电弧的周期性短路过程中,故障电抗器输出电流中将激发出特定次数的谐波分量,分析电流谐波特性可对干式空心电抗器匝间短路故障进行诊断。通过对一起电抗器故障的电流互感器（CT）和电压互感器（PT）录波数据进行求解和分析,验证了本文提出的故障特征提取及诊断方法的可行性和有效性。     

Asynchronous decentralized event-triggered control

In this paper we propose an approach to the implementation of controllers with decentralized strategies triggering controller updates. We consider set-ups with a central node in charge of the computation of the control commands, and a set of not co-located sensors providing measurements to the controller node. The solution we propose does not require measurements from the sensors to be synchronized in time. The sensors in our proposal provide measurements in an aperiodic way triggered by local conditions. Furthermore, in the proposed implementation (most of) the communication between nodes requires only the exchange of one bit of information (per controller update), which could aid in reducing transmission delays and as a secondary effect result in fewer transmissions being triggered.     

Novel one-step formed composite reinforcement of "Spider web like" SiCnw networks and "Z-pins like" SiC rods for ablation resistance improvement of C/C-ZrC-SiC

A novel composite reinforcement with horizontal multilayer "Spider web like" SiC nanowire networks and vertical interconnected "Z-pins like" SiC rods was designed and prepared by facile one-step figuration. The linear ablation rate of "Spider web like" SiC nanowire networks and "Z-pins like" SiC rods collectively reinforced C/C-ZrC-SiC composites at 2610 ± 20 ℃ was 0.4 ± 0.03 μm/s with a 74.19 % reduction. The improved ablation resistance was attributed to a denser gradient oxide layer composed of central ZrO₂ layer, transitional ZrO₂-SiO₂ layer and marginal SiO₂ layer generated under the initial sticky net effect from SiCnw networks and subsequent oxide compensation from "Z-pins like" SiC rods.     

Implementation-aware selection of the custom instruction set for extensible processors

This paper presents an approach for incorporating the effect of various logic synthesis options and logic level implementations into the custom instruction (CI) selection for extensible processors. This effect translates into the availability of a piecewise continuous spectrum of delay versus area choices for each CI, which in turn influences the selection of the CI set that maximizes the speedup per area cost (SPA) metric. The effectiveness of the proposed approach is evaluated by applying it to several benchmarks and comparing the results with those of a conventional technique. We also apply the methodology to the existing serialization algorithms aimed at relaxing register file constraints in multi-cycle custom instruction design. The comparison shows considerable improvements in the speedup per area compared to the custom instruction selection algorithms under the same area-budget constraint.