Fault Section Diagnosis Algorithm of Distribution Networks Based On Topology Identification

An algorithm of fault section diagnosis based on topology identification for distribution networks is presented. By decomposing the topologic matrix which describing the distribution network into two parts,one part only contain the complex coupling factor ,and the other ignore the complex coupling factor. Using this method, the fault zones in distribution network can be identified and isolated efficiently, and the vertexes of the zones can also be identified automatically. This approach adapts to the changefully network structures.     

Fault Detection Techniques for Feeder Automation

Fault detection of the distribution systems is one of the key techniques for feeder automation. At all times, it is still very difficult for the exact detection of single phase to ground fault. First of all, the distinguishing rules of the faulted phase are presented when ground fault occurs in distribution systems. This paper analyzes the fault detection technique for single phase to ground in system with floating neutral point. Based on faulted phase's current, a method realizing ground fault protection is proposed and the algorithm model of action criterion is given out. The simulation results show that the method will be with very good selectivity to ground fault, and it can be used preferably in feeder automation. The detection method for short circuit fault is also introduced simply.     

Application of Self-tuning Models to Air Handling Units for Fault Detection

Building management control systems (BMCS) are widely employed in modern buildings. The huge amount of data available on central stations and outstations provide rich information for fault diagnosis of HVAC systems. An online fault diagnosis method for variable air volume air handling units was presented using self-tuning HVAC component models. The model parameters are tuned online by using a genetic algorithm (GA) which minimizes the error between measured and estimated performance data, so high modeling accuracy is assured. If the error between measured and estimated performance data exceeds preset thresholds, it means the occurrence of faults or abnormalities in the air handling unit system. The statistical method of selecting thresholds also is presented. The fault detection method was tested and validated using data collected from real HVAC systems. The results of validation show that the fault detection method can be integrated in BMCS systems to detect faults in air handling unit systems efficiently.     

Topology Identification of Distribution Networks Based on Hierarchical Model

Traditional model of distribution networks mostly research the response of input excitation, by describing elements and connections of elements for distribution networks. When the states of vertexes in distribution networks have changed, the connections of elements transformation. Owning to the mutual couplings and branches of distribution networks, it is hard to achieve the global optimization for load balancing, reconfiguration and restoration after fault by nomograph. A new model based on hierarchical model is presented. This model can be employed to identify the zone and branches efficiently and offer a cogent topological analysis method for the global optimization. The test result shows the effectiveness of the proposed method.     

Reliability Evaluation of Middle Voltage Distribution Networks

A reliability evaluation algorithm for middle voltage radial distribution network is presented. The algorithm applied ahead-searching-method to determining the area of breaker influencing, applied bidirectional-searching-method to determining faulting area, and applied behind-searching-method to determining connection switch. Then the type of nodes is determined. The reliability index of nodes,feerders and system can be easily computed by the type of nodes.So the computing effeciency is improved. At the same time, the curtailing load algorithms for low-voltage of buses and over-capacity of lines are presented and the foundation for the reliability assessment is established considering the power flow restriction. From the RBTS68-bus and other middle radial distribution networks,the effectiveness and availability of the method are verified.     

The Application of Fuzzy Neural Networks for Power Transformer Fault Diagnosis

This paper presents the application of fuzzy neural networks (FNN) in power transformer faults diagnosis.A FNN model is builded,in which input is transformer oil color spectrum analysis and output is fault type.The test results of fault examples show its effectiveness and potential applicable worthiness.     

The Application of Fuzzy Neural Network in the Detection for Moving Object

A fuzzy neural network(FNN) of detection for moving object based on BP algorithm is described in this paper.The correctness of the FNN in signal detection for moving object and fault diagnosis for instrument is proved by experiments.     

虚拟物流在国际配送中的应用研究

为了有效整合社会闲散的物流资源,提高企业的国际竞争力,实现高速、安全、低成本的虚拟国际配送,运用SWOT分析法论证了虚拟物流应用于国际配送的可行性,并系统的描述了虚拟国际配送中心的运作模式、业务流程、组织结构设计和运作流程,最后提出从企业和政府两个方面来构建虚拟物流应用于国际配送中的保障措施。     

密集烤房内温度与气流分布数值模拟研究

提高烤房内温度及气流组织分布的均匀性,不仅可有效提高烟叶烘烤质量,而且可在一定程度上缩短烘烤时间,从而降低烘烤能耗。以密集型标准烤房为模拟研究对象,建立了装烟室内空气流动的k-ε两方程三维紊流模型。利用大型计算流体力学软件Fluent,对密集烤房内温度场及速度场进行了系统地数值模拟。分析了装烟室内温度及气流分布的均匀性,并获得了密集烤房合理的送风量。相关的数值模拟结果可为密集烤房结构、气流组织分布优化及循环风机选型提供参考。     

Experiments and Numerical Simulation of Flow Distribution with Larger Flux in Multi-branch Pipe

Many heating process with smoking gas involves the uniformity problem of flow distribution with larger flux in multi-branch pipe. The authors do the experiments and numerical simulation of flow distribution with larger flux in multi-branch pipe, which gets flow regulation in distributing pipe and the methods to improve flow distribution uniformly. Experiments have shown that improving the frame of distributing pipe may realize the flow distribution uniformly to the pipe with larger flux and multi-branch.     

酶制剂在食品加工保鲜与检测中的应用

对酶制剂在食品加工保鲜行业中的应用进行了概述,尤其对在食品加工、食品保鲜和食品检测方面的应用作了较详细的叙述,并对酶制剂在食品行业中的应用前景,如酶基因工程、固定化酶技术的应用以及酶法合成功能性食品等方面进行了论述.     

细菌检测基因芯片的简述及其在水产上的应用

基因芯片技术作为生物学高科技发展的必然趋势,已经成功地应用于生物学多项研究,尤其是在疾病的诊断和病原微生物的确定上,起到了重要的作用。目前,国内外已经制作出多种细菌基因芯片,用于细菌基因水平上的研究。本文在介绍基因芯片的概念、分类以及制作方法的同时,简述了水产上细菌检测基因芯片产生的背景及不同靶基因的选用情况,并总结了基因芯片技术的优点及其在发展中遇到的难题。     

含电压逆变型分布式电源配电网的短路电流计算

分布式发电接入改变了配电网潮流和短路电流分布,其提供的短路电流将对电网保护和重合闸动作产生影响。文中通过研究电压控制逆变型分布式电源（ⅡDG）的故障响应特性,分析配电网不对称故障时ⅡDG三相平均功率与正负序网功率关系,建立计及电压型ⅡDG对称控制特征的短路计算序分量模型。根据ⅡDG与配电网正负序网络的交互作用,推导电压型ⅡDG的故障电流变化规律,提出计算含电压型ⅡDG配电网短路电流的对称分量迭代算法。在PSCAD/EMTDC仿真软件中建立电压型ⅡDG的电磁暂态模型,仿真验证了该方法的正确性。     

食品检测领域中新型检测元件在传感器上的应用研究

检测元件的实质是待测靶标的受体,在免疫分析、生物传感器等检测手段中已被广泛运用。目前新型检测元件越来越受到人们的关注,主要包括噬菌体展示多肽、亲和体、纳米抗体和分子印迹聚合物等,这些元件除了亲和力和特异性好,还可以通过直接合成或体外筛选获得,且可以固定于纳米材料表面,因此更利于在传感器中使用。文章概括了上述4种新型检测元件的特性以及其组建的传感器在食品检测领域中的热点应用方向,以期更加广泛地开发利用新型检测元件。     

水分和氮肥运筹对小麦氮素吸收分配的影响

试验结果表明，两种灌溉方法下各处理之间的产量不存在显著差异，与两水处理相比，四水处理公顷穗数提高，但拔节水导致千粒重极显著降低。四水条件下小麦的氮素吸收量高于两水条件下的相应氮肥处理，而氮素生理效率降低。灌四水使氮素在小麦营养器官中的分配比例提高，两水灌溉更有利于氮素向子粒转运。各营养器官对子粒氮的贡献率依次为叶片＞茎秆＝颖壳＞叶鞘＞根系，其中叶片的氮素转移量最高，两水灌溉制度下，常规施肥量适宜于部分基施、部分于拔节期追施，而省肥用量可以考虑全部基施。     

微流控芯片在农产品安全检测中的应用

近年来,随着食品工业的迅猛发展,国内外食品安全事故也频繁发生。开发安全可靠、便携有效的检测方法对食品安全至关重要。微流控芯片集样品前处理、分离和检测等过程为一体,实现了样品前处理和检测分析的自动化、集成化、小型化、低消耗、高效率和便携化,满足了现场、实时检测的需求。本研究对微流控芯片在食品成分、农药残留、兽药残留、食品添加剂和重金属检测中的应用进行归纳总结,为农产品安全检测提供参考。     

免疫分析技术在农药残留快速检测中的应用及研究进展

为解决色谱法等常规方法在农药残留检测中耗时长、成本高等问题,提出了基于免疫分析的简便快捷、高选择性和高灵敏度的农药残留快检分析方法。综述了常用的农药残留快速检测技术,包括酶联免疫吸附测定、荧光免疫分析、免疫层析、免疫磁珠、仿生免疫分析及生物条形码技术等的作用原理、特点及研究进展。不同的方法有着各自的优缺点和适用范围,而分子印迹、纳米技术和基因检测技术的快速发展,为农药残留免疫分析提供了较高的灵敏度和准确度。建议基于免疫分析技术的自身优势,结合新技术并不断完善,进而在农药残留快检领域发挥重要作用。未来在农产品质量安全检测和控制上,开发简单便携的小型化和集成化检测手段,提高方法和仪器的稳定性和灵敏度成为农药残留快速检测的发展趋势。     

遗传算法在盐分胁迫下冬小麦根系分布预报中的应用

盐分存在条件下根系在土壤剖面中的分布会随众多的因素产生变化,由常规的拟合方法得到的根系分布与实际值会存在较大的误差。在此,基于遗传算法建立了一种获得盐分胁迫下冬小麦根系分布参数的模型,经过检验,模型整体预报效果较好,可以通过间接的、相对容易的途径获得相对准确的根系参数,可以满足实际应用的需求。     

N基因标记基因PCR检测方法的建立及其在遗传育种中的应用

烟草的N基因是一个较为有效的抗烟草花叶病毒(tobacco mosaic virus,TMV)基因,在抗病育种中发挥着重要的作用。为建立其标记基因PCR检测体系,评估已知目的基因cDNA序列作为分子标记的目的基因辅助育种的可行性,本文依据N基因cDNA序列设计4对扩增范围在150～950bp的不同片段长度引物,并对含有N基因的coker176基因组DNA进行PCR扩增。扩增结果表明,有3对可扩增出特异产物。测序结果表明,有2对引物的扩增产物含有内含子。根据所获得的DNA序列设计出2对用于分子标记辅助育种的引物,并分别对C151、NC89、coker176等11个品种的基因组DNA进行扩增,结果表明在coker176、龙江912、吉烟9号和龙江911品种中有扩增产物,除龙江911外,这一结果与已知的N基因在11个品种的分布相一致,成功建立了N基因PCR检测体系,并证明以cDNA序列设计引物扩增DNA序列的目的基因辅助育种技术完全可行。并对实验中出现的问题进行了研究。