基于GOOSE通信的城市轨道交通直流牵引供电系统双边联跳与自愈方案

[目的]城市轨道交通直流牵引供电系统的结构复杂且无备用,一旦故障将直接引发停车事故。针对传统牵引供电系统双边联跳方案在实际工程中暴露出的不足,以及直流牵引供电系统智能化程度较低的现状,需研究出利用智能化手段提高直流牵引供电系统双边联跳可靠性的方案。[方法]提出了一种基于GOOSE(面向通用对象的变电站事件)通信的直流牵引供电系统双边联跳与自愈方案。该方案在直流牵引供电系统内构建了GOOSE过程层通信网络,通过牵引变电所内及牵引变电所间各类信息的快速实时交换实现了直流牵引供电系统的双边联跳与自愈重构。对所提出的方案进行了实验室模拟与现场验证。[结果及结论]基于GOOSE通信的城市轨道交通直流牵引供电系统双边联跳与自愈方案具有更高的可靠性与实时性,且方案智能化程度较高,可进行推广应用。

虚拟I/O模块在DCS以太网通信接口模块上的实现

为减少硬件模块的重复开发,在保留原DCS软硬件系统架构不变的基础上,在以太网通信接口模块硬件上虚拟不同的I/O模块。虚拟I/O模块与硬点I/O模块具有一致的输入、输出及参数属性,且组态方式和产物格式一致。同一以太网通信模块上可在不同的虚拟I/O槽位上配置不同的虚拟I/O模块,如Modbus TCP虚拟I/O模块和GOOSE虚拟I/O模块,进而在同一硬件实现不同的通信功能。虚拟I/O模块的使用一方面减少了DCS系统硬件模块的种类,简化备品备件,另一方面也提高了通信扩展的灵活性和便利性。

基于改进GOOSE算法的VMD体征信息研究

本文中依靠60 GHz调频连续波(FMCW)毫米波雷达,通过改进的GOOSE算法,在种群初始化阶段结合Tent混沌映射,在探索阶段运用Levy飞行策略提升算法的全局搜索能力。然后,通过改进的GOOSE算法去应用到变分模态分解(VMD)中,得到k和α最优值。对GOOSE算法的改进提高了呼吸心率的检测的精度。最后,该实验结果表明:利用改进的GOOSE优化算法对VMD算法进行参数自适应优化,通过对信号的重构后分析,有效地去除了噪声分量,提高了分解效率。

基于GOOSE的新能源场站多级控制技术研究

随着大型新能源场站的加速发展和建设,常规新能源场站功率控制系统单一的通信架构设计及控制策略已无法满足大型新能源场站的调频和调压等控制需求。为解决上述需求,基于一种面向通用对象的变电站事件(generic object oriented substation event, GOOSE)通信技术提出了“四层(集群控制系统层,场站主机层,场站从机层,场站单机层)三网(主机层网络,从机层网络,单机层网络)”的通信架构并说明了此架构的硬件构成及软件原理,并简要介绍了风光储协同控制软件逻辑。最后在某光伏场站进行了新型主从配置的主动支撑装置相关数据接入及功率测试。测试结果表明,此方案中场站层的主从配置功能可实现频率和电压的快速和有效支撑控制,试验结果满足国标要求。

Insights into genetic diversity and phenotypic variations in domestic geese through comprehensive population and pan-genome analysis

Background Domestic goose breeds are descended from either the Swan goose(Anser cygnoides)or the Greylag goose(Anser anser),exhibiting variations in body size,reproductive performance,egg production,feather color,and other phenotypic traits.Constructing a pan-genome facilitates a thorough identification of genetic variations,thereby deepening our comprehension of the molecular mechanisms underlying genetic diversity and phenotypic variability.Results To comprehensively facilitate population genomic and pan-genomic analyses in geese,we embarked on the task of 659 geese whole genome resequencing data and compiling a database of 155 RNA-seq samples.By constructing the pan-genome for geese,we generated non-reference contigs totaling 612 Mb,unveiling a collection of 2,813 novel genes and pinpointing 15,567 core genes,1,324 softcore genes,2,734 shell genes,and 878 cloud genes in goose genomes.Furthermore,we detected an 81.97 Mb genomic region showing signs of genome selection,encompassing the TGFBR2 gene correlated with variations in body weight among geese.Genome-wide association studies utilizing single nucleotide polymorphisms(SNPs)and presence-absence variation revealed significant genomic associations with various goose meat quality,reproductive,and body composition traits.For instance,a gene encoding the SVEP1 protein was linked to carcass oblique length,and a distinct gene-CDS haplotype of the SVEP1 gene exhibited an association with carcass oblique length.Notably,the pan-genome analysis revealed enrichment of variable genes in the“hair follicle maturation”Gene Ontology term,potentially linked to the selection of feather-related traits in geese.A gene presence-absence variation analysis suggested a reduced frequency of genes associated with“regulation of heart contraction”in domesticated geese compared to their wild counterparts.Our study provided novel insights into gene expression features and functions by integrating gene expression patterns across multiple organs and tissues in geese and analyzing population variation.Conclusion This accomplishment originates from the discernment of a multitude of selection signals and candidate genes associated with a wide array of traits,thereby markedly enhancing our understanding of the processes underlying domestication and breeding in geese.Moreover,assembling the pan-genome for geese has yielded a comprehensive apprehension of the goose genome,establishing it as an indispensable asset poised to offer innovative viewpoints and make substantial contributions to future geese breeding initiatives.

Urban Electric Vehicle Charging Station Placement Optimization with Graylag Goose Optimization Voting Classifier

To reduce the negative effects that conventional modes of transportation have on the environment,researchers are working to increase the use of electric vehicles.The demand for environmentally friendly transportation may be hampered by obstacles such as a restricted range and extended rates of recharge.The establishment of urban charging infrastructure that includes both fast and ultra-fast terminals is essential to address this issue.Nevertheless,the powering of these terminals presents challenges because of the high energy requirements,whichmay influence the quality of service.Modelling the maximum hourly capacity of each station based on its geographic location is necessary to arrive at an accurate estimation of the resources required for charging infrastructure.It is vital to do an analysis of specific regional traffic patterns,such as road networks,route details,junction density,and economic zones,rather than making arbitrary conclusions about traffic patterns.When vehicle traffic is simulated using this data and other variables,it is possible to detect limits in the design of the current traffic engineering system.Initially,the binary graylag goose optimization(bGGO)algorithm is utilized for the purpose of feature selection.Subsequently,the graylag goose optimization(GGO)algorithm is utilized as a voting classifier as a decision algorithm to allocate demand to charging stations while taking into consideration the cost variable of traffic congestion.Based on the results of the analysis of variance(ANOVA),a comprehensive summary of the components that contribute to the observed variability in the dataset is provided.The results of the Wilcoxon Signed Rank Test compare the actual median accuracy values of several different algorithms,such as the voting GGO algorithm,the voting grey wolf optimization algorithm(GWO),the voting whale optimization algorithm(WOA),the voting particle swarm optimization(PSO),the voting firefly algorithm(FA),and the voting genetic algorithm(GA),to the theoretical median that would be expected that there is no difference.

Giant and controllable Goos—Hänchen shift of a reflective beam off a hyperbolic metasurface of polar crystals

We conduct a theoretical analysis of the massive and tunable Goos–Hänchen(GH) shift on a polar crystal covered with periodical black phosphorus(BP)-patches in the THz range. The surface plasmon phonon polaritons(SPPPs), which are coupled by the surface phonon polaritons(SPh Ps) and surface plasmon polaritons(SPPs), can greatly increase GH shifts.Based on the in-plane anisotropy of BP, two typical metasurface models are designed and investigated. An enormous GH shift of about-7565.58 λ_(0) is achieved by adjusting the physical parameters of the BP-patches. In the designed metasurface structure, the maximum sensitivity accompanying large GH shifts can reach about 6.43 × 10^(8) λ_(0)/RIU, which is extremely sensitive to the size, carrier density, and layer number of BP. Compared with a traditional surface plasmon resonance sensor, the sensitivity is increased by at least two orders of magnitude. We believe that investigating metasurface-based SPPPs sensors could lead to high-sensitivity biochemical detection applications.

5G Resource Allocation Using Feature Selection and Greylag Goose Optimization Algorithm

In the contemporary world of highly efficient technological development,fifth-generation technology(5G)is seen as a vital step forward with theoretical maximum download speeds of up to twenty gigabits per second(Gbps).As far as the current implementations are concerned,they are at the level of slightly below 1 Gbps,but this allowed a great leap forward from fourth generation technology(4G),as well as enabling significantly reduced latency,making 5G an absolute necessity for applications such as gaming,virtual conferencing,and other interactive electronic processes.Prospects of this change are not limited to connectivity alone;it urges operators to refine their business strategies and offers users better and improved digital solutions.An essential factor is optimization and the application of artificial intelligence throughout the general arrangement of intricate and detailed 5G lines.Integrating Binary Greylag Goose Optimization(bGGO)to achieve a significant reduction in the feature set while maintaining or improving model performance,leading to more efficient and effective 5G network management,and Greylag Goose Optimization(GGO)increases the efficiency of the machine learningmodels.Thus,the model performs and yields more accurate results.This work proposes a new method to schedule the resources in the next generation,5G,based on a feature selection using GGO and a regression model that is an ensemble of K-Nearest Neighbors(KNN),Gradient Boosting,and Extra Trees algorithms.The ensemble model shows better prediction performance with the coefficient of determination R squared value equal to.99348.The proposed framework is supported by several Statistical analyses,such as theWilcoxon signed-rank test.Some of the benefits of this study are the introduction of new efficient optimization algorithms,the selection of features and more reliable ensemble models which improve the efficiency of 5G technology.

Exploring the dynamic three-dimensional chromatin architecture and transcriptional landscape in goose liver tissues underlying metabolic adaptations induced by a high-fat diet

Background Goose, descendants of migratory ancestors, have undergone extensive selective breeding, resulting in their remarkable ability to accumulate fat in the liver and exhibit a high tolerance for significant energy intake. As a result, goose offers an excellent model for studying obesity, metabolic disorders, and liver diseases in mammals. Although the impact of the three-dimensional arrangement of chromatin within the cell nucleus on gene expression and transcriptional regulation is widely acknowledged, the precise functions of chromatin architecture reorganization during fat deposition in goose liver tissues still need to be fully comprehended.Results In this study, geese exhibited more pronounced changes in the liver index and triglyceride(TG) content following the consumption of the high-fat diet(HFD) than mice without significant signs of inflammation. Additionally, we performed comprehensive analyses on 10 goose liver tissues(5 HFD, 5 normal), including generating highresolution maps of chromatin architecture, conducting whole-genome gene expression profiling, and identifying H3K27ac peaks in the livers of geese and mice subjected to the HFD. Our results unveiled a multiscale restructuring of chromatin architecture, encompassing Compartment A/B, topologically associated domains, and interactions between promoters and enhancers. The dynamism of the three-dimensional genome architecture, prompted by the HFD, assumed a pivotal role in the transcriptional regulation of crucial genes. Furthermore, we identified genes that regulate chromatin conformation changes, contributing to the metabolic adaptation process of lipid deposition and hepatic fat changes in geese in response to excessive energy intake. Moreover, we conducted a cross-species analysis comparing geese and mice exposed to the HFD, revealing unique characteristics specific to the goose liver compared to a mouse. These chromatin conformation changes help elucidate the observed characteristics of fat deposition and hepatic fat regulation in geese under conditions of excessive energy intake.Conclusions We examined the dynamic modifications in three-dimensional chromatin architecture and gene expression induced by an HFD in goose liver tissues. We conducted a cross-species analysis comparing that of mice. Our results contribute significant insights into the chromatin architecture of goose liver tissues, offering a novel perspective for investigating mammal liver diseases.

500 kV智能变电站报文断链分析及处理方法的研究

报文断链是智能变电站常见故障,文章介绍了GOOSE断链告警机制以及SV断链告警机制,分析了报文断链的原因,针对500 kV变电站SV及GOOSE组网方式,提出了不同类型断链的处理措施,为现场处理类似故障提供实践参考。

一种多端低压柔直互联直流网络拓扑保护方案

介绍一种适用于多端低压柔直互联的直流网络拓扑保护应用方案,阐述该保护方案的配置与功能要求、组网方式以及动作原理。通过实际工程项目的各种典型故障分析,说明该保护方案在不同直流故障和运行情况下的有效性和准确性。

数据中心中压负荷逐级投切解决方案简析

根据数据中心负荷逐级投切装置的控制要求,对目前应用比较多的专用负荷逐级投切装置、带有负荷逐级投切功能的10kV双电源转换开关控制器、采用分立元器件自行搭建和编程的PLC控制器、基于IEC61850光纤环网GOOSE传输技术的数字通信自动控制几种负荷逐级投切解决方案进行比较分析,并提出选择建议。

继电保护中的检测与调试技术分析

阐述智能变电站继电保护系统的检测策略,包括检测变压器与发电机、继电保护装置、线路保护。探讨调试技术应用中的保护装置调试、GOOSE调试、通道调试的优化策略。

一种基于CommView的自定义解码器开发方案

针对通信协议的多样性,每次制定一种新协议,均需要相应的报文解码器验证协议的正确性,这就需要一种报文引擎,提供自定义协议的解码接口,而CommView满足自定义解码显示要求,因此提出了一种基于CommView的自定义解码器开发方案。方案以CommView开发自定义解码器为实例,调用CommView报文引擎,以实现IECGOOSE报文的解码、结构层次树显示为实例,介绍了具体的自定义解码器的开发流程。实际证明通过CommView开发自定义解码器,能够有效提高网络通信协议的开发调试效率。

GOOSE通讯技术在煤矿井下视频监控系统中的应用

在煤矿井下,视频监控系统的应用对于确保安全生产至关重要。为了实现在这种复杂环境下的高效监控,本文研究了面向通用对象的变电站事件(Generic Object-Oriented Substation Event,GOOSE)通讯技术在煤矿井下视频监控系统中的应用。本文首先概述了GOOSE通讯技术的基本原理和特点,然后详细探讨了其在煤矿井下视频监控系统中的具体应用,包括系统架构设计、实时数据传输、信号优先级管理和数据安全保障等方面。最后,本文对所设计的系统进行了测试,验证了其在煤矿井下视频监控中的可行性和有效性,并讨论了系统的优势和潜在的改进方向。

煤矿防越级跳闸系统的设计及应用实现

为有效解决煤矿供电系统存在的隐患,实现其安全平稳运行,提出一种基于GOOSE通信的防越级跳闸系统。首先,采用分层分布式光纤环网的整体架构,通过在各级保护装置间建立GOOSE通信网络,实现故障定位,达到防越级跳闸的目的。其次,设计地面线路和井下保护装置的软硬件。经GOOSE通信和短路闭锁改进后,该防越级跳闸系统切实可行,且可适应井下复杂的工况。

智能变电站二次系统自动测试仪的开发与应用

智能变电站采用SCD模型文件描述全站二次回路信息,但SCD文件本身较大且可读性较差,不利于调试或运维人员快速有效地核查虚拟二次回路的连接正确性。介绍了GOOSE虚端子,提出了基于GOOSE虚端子验证的智能变电站虚拟二次回路自动测试仪。自动测试仪通过导入现场变电站的SCD文件和保护类装置ICD文件,自动关联GOOSE虚端子与MMS数据,可在无人工干预的情况下完成虚拟二次回路的虚端子验证,一键生成测试报告,为智能变电站虚拟二次回路虚端子检测提供了新的技术手段和工具。

ABB赋能科城云,强化西部智能算力建设

近期,ABB响应科成智算云数据中心高算力、紧凑空间以及绿色数据中心的需求,提供中低压配电解决方案,涵盖UniGearZS1开关柜、GOOSE通讯自动投切方案、MNS2.0低压成套设备的低压核心元件Emax2空气断路器、TmaxXT塑壳断路器等,提升智算中心供配电可靠性,优化系统运行效率。

基于GOOSE通信技术的高压电网运行故障诊断系统设计

面向通用对象的变电站事件(Generic Object Oriented Substation Event,GOOSE)通信技术是一种基于以太网的实时自动化通信协议,广泛应用于电力系统的保护和控制领域。它能够提供快速、可靠的数据交换,特别适用于高压电网的故障诊断。高压电网作为电力传输的主要方式,其稳定性对整个电力系统的安全运行至关重要。电网故障,包括短路、设备故障等,不仅影响供电可靠性,还可能引发更大规模的供电中断。因此,开发一套高效的故障诊断系统对于提前发现并处置潜在故障具有重要意义。基于GOOSE通信技术的高压电网运行故障诊断系统,通过故障自动检测、实时数据处理以及运行故障诊断评估3个步骤,实现对高压电网故障的快速准确诊断,并通过应用测试验证了系统的有效性和实用性。

基于GOOSE机制的地铁供电系统节电保护整定配合方案

地铁供电系统的设备长期处于高负荷运行状态,导致电能质量不稳定,影响节电保护,为此提出基于面向通用对象的变电站事件(Generic Object Oriented Substation Event,GOOSE)机制的地铁供电系统节电保护整定配合方案。在地铁供电系统拓扑结构模型中,利用GOOSE机制的快速通信能力和地铁供电系统直流特征量,选择闭锁自适应级联方向,并确定地铁供电系统电流整定值,实现地铁供电系统节电保护整定配合。仿真测试表明,运用GOOSE机制的地铁供电系统节电保护整定配合方案整定后的供电系统在保证安全性的同时,节约了电能,为地铁运营带来了长远的经济与环境双重效益。