Starting Characteristics of Motor in Inverter-Motor Drive System

When the induction motor is fed from the PWM VSI inverter, with and without torque enhancing function, the variations of the starting torque and the starting current versus the starting frequency are analyzed, based on the steady state equivalent circuit of the induction motor.The corresponding expressions are derived, and the corresponding curves are also drawn, from which the initial starting frequency range can be determined properly and easily. The initial starting frequency range is the common range, in which the starting torque should be high enough and the starting current low enough.Some other useful formulas are also derived.These results are significant for electrical drive designers to make the starting schemes. The effects of the increase of the stator and the rotor resistances on the starting torque and the initial starting frequency range are also discussed, which is caused by the skin effects of the high order harmonics present in the PWM inverter output voltage.

Alleviating the Cold Start Problem in Recommender Systems Based on Modularity Maximization Community Detection Algorithm

Recommender system (RS) has become a very important factor in many eCommerce sites. In our daily life, we rely on the recommendation from other persons either by word of mouth, recommendation letters, movie, item and book reviews printed in newspapers, etc. The typical Recommender Systems are software tools and techniques that provide support to people by identifying interesting products and services in online store. It also provides a recommendation for certain users who search for the recommendations. The most important open challenge in Collaborative filtering recommender system is the cold start problem. If the adequate or sufficient information is not available for a new item or users, the recommender system runs into the cold start problem. To increase the usefulness of collaborative recommender systems, it could be desirable to eliminate the challenge such as cold start problem. Revealing the community structures is crucial to understand and more important with the increasing popularity of online social networks. The community detection is a key issue in social network analysis in which nodes of the communities are tightly connected each other and loosely connected between other communities. Many algorithms like Givan-Newman algorithm, modularity maximization, leading eigenvector, walk trap, etc., are used to detect the communities in the networks. To test the community division is meaningful we define a quality function called modularity. Modularity is that the links within a community are higher than the expected links in those communities. In this paper, we try to give a solution to the cold-start problem based on community detection algorithm that extracts the community from the social networks and identifies the similar users on that network. Hence, within the proposed work several intrinsic details are taken as a rule of thumb to boost the results higher. Moreover, the simulation experiment was taken to solve the cold start problem.

Research on Optimization for Units Start During Power System Restoration

Considering units starting and network constraints and the concept of optimization period,a optimization model which is a typical multi-constraint knapsack problem is established to solve the selection optimization problem of units starting in power system restoration period in this paper, and the objective of the model is to maximize the total power generation capability. A relative effectiveness assessment based on a improving data envelopment analysis is adopted to select the initial units to be started, genetic algorithms are employed to solve the knapsack problem to determine the most reasonable units be started at the current time. Finally, IEEE-39 bus system simulation result proves that the proposed model is feasible and effective.

A method to refine the start-up scheme of compression and refrigeration systems in ethylene plants via dynamic simulation

Starting the cracking gas compressor and precooling the refrigeration system are keys to start-up of an ethylene plant and accounts for up to 50% of the total start-up time and plant flare emissions. Premature feeding of cracking furnaces can be avoided if the cracking gas compressor is started and the refrigeration system is precooled in advance using mixed gas as the start-up working medium(SWM). Start-up scenario with mixed gas as SWM could significantly reduce the emission loss and shorten the precooling time. Research shows that making appropriate start-up scheme is important not only to ensure operational safety and feasibility, but also to reduce energy consumption. In this paper, a method is proposed to select suitable start-up operational parameters of compression and refrigeration system with sufficient safe operating ranges and short precooling time. The complex interrelation among key parameters of start-up is analyzed. It is found that higher energy consumption, especially for super high-pressure steam(SS), can promote operational safety and shorten the precooling time during start-up.Based on steady-state and dynamic simulation, appropriate operating parameter ranges are determined with reasonable SS consumption. A real case study demonstrates that an appropriate start-up scheme will optimize the operation.

轻度混合动力车发动机Start/Stop系统控制策略

发动机怠速自动起停是轻度混合动力车的重要工作模式,它能避免发动机在怠速工况下运行,可减少燃油消耗及尾气排放。该文对集成起动机/发电机(ISG)轻度混合动力车发动机起动动力学和发动机Start/Stop系统控制策略进行了研究,同时在Matlab/Simulink中建立了整车控制器模型,在NEDC循环工况下对发动机和ISG电机的协调输出转矩进行了仿真分析,最后进行了发动机起动及整车转鼓对比试验。仿真及试验结果表明,Start/Stop系统能保证发动机在怠速工况下正常停机,通过Start/Stop系统的协调控制,发动机在整个循环工况下运转平稳,转矩输出值在低油耗区;和传统车相比,加装Start/Stop系统的轻度混合动力车HC和CO排放下降明显,百公里油耗由8.60L下降到7.30L,节油效果显著。

基于Start-Stop技术的微混轿车仿真及试验研究

对比分析了采用BSG系统混合动力轿车和加装智能启停(Smart Start-Stop)系统轿车的结构及其主要零部件,并介绍了Start-Stop系统工作原理。通过仿真,分别计算了传统车与加装Start-Stop系统轿车在ECE、EUDC和NEDC循环工况下的燃油经济性,并对仿真结果进行试验验证。试验结果表明,加装Start-Stop系统轿车的燃油经济性与排放性有显著改善。

基于Sure-Start的三维重建在泌尿系疾病检查中的应用

目的:探讨16层螺旋CT基于Sure-Start的三维重建技术在泌尿系疾病检查的应用价值。方法:对28例16层螺旋CT泌尿系增强的病例进行分析。结果:肾癌2例,皮质期强化明显,实质期密度迅速下降,呈特征性的"快进快出"改变;囊肿(包括多囊肾)6例,三期均无强化;结核10例,显示输尿管管壁不规则增厚,结核还显示"串珠状"特征性改变;泌尿系结石8例,表面遮盖重建(SSD)不同色彩显示结石最好;先天畸形2例,最大强度投影法(MIP)、表面遮盖重建(SSD)能直观显示。结论:基于Sure-Start的三维重建技术在泌尿系疾病增强有较高的应用价值。

基于NET-Start的uClinux分析与应用系统设计

在对NET-Start评估板硬件分析基础上,给出了uClinux的简单分析以及针对NET-Start评估板的应用程序设计方式,即基于S3C4510B寄存器组的程序设计和基于uClinux的程序设计。这种从嵌入式硬件出发的应用程序设计和从嵌入式操作系统出发的应用程序设计是现代嵌入式应用系统的两种主要开发模式。分析表明,后者较前者有更大的优势,但要求有一个特殊的、适当的开发环境。

基于Java Web Start的铁路调度查询系统研究

论述了铁路局运输调度查询系统的重要性,介绍了Java Web Start技术的原理及优点,并以铁路局实时运行图查询系统为例说明了其具体实现方法,详细说明了该技术对于环境的要求,并给出了设置Web站点的具体步骤.同时,重点论述了JNLP文件的编写方法和.jar文件的签名方法.使用Java Web Start技术可以方便地实现实时列车运行图的查询,可以为铁路局相关运输生产管理部门提供准确、及时完备的列车运行信息,为合理组织各项运输作业提供科学的依据.

基于Java Web Start技术的网络考试系统安全问题研究

文章论述了基于Java Web Start技术的网络考试系统的安全问题,主要包括Java Web Start的安全技术、MySQL数据库加密技术、Ubuntu Server防火墙设置技术、Java中Office安全级别设置技术以及防抄袭技术等。

Starting flow in a rotating parallel plate channel

The starting flow due to a suddenly applied pressure gradient in a parallel plate channel which is rotating as a system is studied. Exact analytic series solutions to the unsteady Navier-Stokes equations are found by both the Laplace transform method and the separation of parameters method, the latter is shown to be superior. Rotation not only induces a secondary transverse flow but also alters the character of the transient flow rate and velocity profiles. Back flow and inertial oscillations occur, especially at higher rota- tion rates.

Collaborative Filtering and Artificial Neural Network Based Recommendation System for Advanced Applications

To make recommendation on items from the user for historical user rating several intelligent systems are using. The most common method is Recommendation systems. The main areas which play major roles are social networking, digital marketing, online shopping and E-commerce. Recommender system consists of several techniques for recommendations. Here we used the well known approach named as Collaborative filtering (CF). There are two types of problems mainly available with collaborative filtering. They are complete cold start (CCS) problem and incomplete cold start (ICS) problem. The authors proposed three novel methods such as collaborative filtering, and artificial neural networks and at last support vector machine to resolve CCS as well ICS problems. Based on the specific deep neural network SADE we can be able to remove the characteristics of products. By using sequential active of users and product characteristics we have the capability to adapt the cold start product ratings with the applications of the state of the art CF model, time SVD++. The proposed system consists of Netflix rating dataset which is used to perform the baseline techniques for rating prediction of cold start items. The calculation of two proposed recommendation techniques is compared on ICS items, and it is proved that it will be adaptable method. The proposed method can be able to transfer the products since cold start transfers to non-cold start status. Artificial Neural Network (ANN) is employed here to extract the item content features. One of the user preferences such as temporal dynamics is used to obtain the contented characteristics into predictions to overcome those problems. For the process of classification we have used linear support vector machine classifiers to receive the better performance when compared with the earlier methods.

Clustering Analysis of Black-start Decision-making with a Large Group of Decision-makers

The optimization of black-start decision-making plays an important role in the rapid restoration of a power system after a major failure/outage.With the introduction of the concept of smart grids and the development of real-time communication networks,the black-start decision-makers are no longer limited to only one or a few power system experts such as dispatchers,but rather a large group of professional people in practice.The overall behaviors of a large decision-making group of decision-makers/experts are more complicated and unpredictable.However,the existing methods for black-start decision-making cannot handle the situations with a large group of decision-makers.Given this background,a clustering algorithm is presented to optimize the black-start decision-making problem with a large group of decision-makers.Group decision-making preferences are obtained by clustering analysis,and the final black-start decision-making results are achieved by combining the weights of black-start indexes and the preferences of the decision-making group.The effectiveness of the proposed method is validated by a practical case.This work extends the black-start decision-making problem to situations with a large group of decision-makers.

基于虚拟同步发电机的构网型光储变流器控制策略研究

为了抑制光伏发电的随机性和波动性的影响,提高微电网的供电可靠性,对离网工况下的微电网黑启动方案进行分析,并将其与虚拟同步发电机(Virtual Synchronous Generator,VSG)控制策略一起应用于储能变流器中,建立了储能变流器的VSG数学模型,推导了小信号模型表达式,通过在光储微电网系统引入惯性和阻尼,提高了系统电压和频率的稳定性。最后,在Matlab/Simulink仿真平台上搭建模型,验证了零起升压策略的有效性,确保了黑启动过程中线路电压的稳定;并在并网工况下分析了光储微电网系统各个微源之间的协调控制,验证了构网型光储变流器控制策略的有效性。

计及杂散参数的柔性直流启动电阻冲击电压分布特性研究

针对柔性直流输电系统中启动电阻异常放电问题。首先,从启动电阻温升、绝缘水平、电流应力及冲击能量几方面进行校核分析;然后,对现场启动电阻进行拆解,定量分析启动电阻放电原因;最后,利用Ansys搭建电阻器杂散电容求解模型,根据分布电容求解结果,基于PSCAD搭建电阻塔的宽频等效模型,仿真分析启动电阻在冲击电压下的电位分布规律,验证启动电阻异常放电机理并提出优化改进措施。研究结果可为今后柔性直流输电系统启动电阻的选型设计提供参考。

Modeling and Simulation of Power Coupling System in Hydraulic Hybrid City Bus

In order to solve the coupling problem of power in Hydraulic Hybrid City Bus (HHB), a hydraulic hybrid power coupling system based on planetary gear transmission principle is proposed in this paper. The system consists of diesel engine, power coupler, hydraulic pump/motor, etc. The realizable operating modes of power coupling system are analyzed in this paper. Under coordination of clutches, the engine driven mode, hydraulic driven mode, hybrid driven mode, hydraulic engine-start mode and braking energy recovery mode are realizable. Based on Lagrange equation, kinetic analysis and kinematics analyses are presented. In addition, the simulation model of the power coupling system is proposed, which includes diesel engine model, power coupler model, hydraulic pump/motor model, etc. The example simulation analysis is proposed under the hybrid driven mode;the results show that the power coupling system proposed in this paper can realize power coupling of hydraulic hybrid city bus. Compared with traditional city bus, the hydraulic hybrid city bus can choose small-displacement engine so as to improve fuel economy and dynamic property.

基于光储联合系统的电网分段恢复策略

当前新能源大量引入至电力系统,为了使其代替传统的水电、燃气机组作为黑启动电源,文中研究了基于光储联合系统的电网分段恢复策略。首先,根据光储系统的结构和控制方式,提出由储能系统建立稳定的并网母线线电压,光伏系统分步并网的启动方式;其次,为了增强光伏发电系统的惯性阻尼支撑,提出在光伏系统逆变器侧加入虚拟同步控制;最后,在待启动机组和系统负荷并网过程中,利用储能系统配置附加阻尼控制器抑制电网黑启动产生的次同步振荡,保证电网稳定恢复。在PSCAD/EMTDC中搭建光储联合系统黑启动的电磁暂态仿真模型并进行分析,结果表明系统恢复过程中母线线电压偏差不超过0.65%、系统频率偏差不超过1%,满足黑启动要求,验证了文中所提启动策略的可行性。

一种降低燃气轮机试验平台启动系统功率的方法

采用轴流压气机作为负载单元的燃气轮机试验平台,启动系统-负载-燃气轮机之间采用柔性联轴器联接。启动阶段,随着机组转速的提高,轴流压气机的功耗逐渐增大。文章通过对比升速阶段燃气轮机常规启动、变工况启动两种方式对启动系统的功率需求,得出大幅降低启动功率的方式,为以后燃气轮机带负荷试验平台设计提供了参考和经验。

融合协同过滤的神经Bandits推荐算法

针对数据稀疏性和“冷启动”对协同过滤的限制以及现有的协同多臂老虎机算法不适用于非线性奖励函数的问题,提出一种融合协同过滤的神经Ba ndits推荐算法COEENet.首先,采用双神经网络结构学习预期奖励及潜在增益;其次,考虑邻居协同作用;最后,构造决策器进行最终决策.实验结果表明,该方法在累积遗憾上优于4种基线算法,推荐效果较好.

基于深度强化学习的火电机组制粉系统自启停智能决策

针对目前人工决策基础上的制粉系统一键启停技术存在决策主观经验性强、操盘劳动强度大、节能优化潜力难以发掘等问题,提出了一种综合考虑制粉系统能耗与机组负荷跟踪性能的制粉系统启停决策评价模型,以安全引入网调负荷计划指令信号作为输入,研究了基于深度强化学习的制粉系统自启停智能决策方法,开发了制粉系统自启停决策闭环控制系统。研究结果通过仿真验证,并已在某超超临界1000 MW机组常用磨煤机上成功应用,节能降耗效果显著。研究结果可为火电机组少人、无人化运行技术提供有效借鉴。