Implementation of Machine-to-Machine Solutions to Improve Quality of Service for Electrical Energy Distribution Networks in Colombia

In order to incorporate smart elements into distribution networks at ITELCA laboratories in Bogotá-Colombia, a Machine-to-Machine-based solution has been developed. This solution aids in the process of low-cost electrical fault location, which contributes to improving quality of service, particularly by shortening interruption time spans in mid-voltage grids. The implementation makes use of a GENEKO modem that exploits its digital inputs together with a full coverage of certain required auxiliary services so as to generate proper detection signals whenever failure currents occur;which allows incorporating the latest failure detection technology into the system.

Facing a Problem of Electrical Energy Quality in Ship Networks-measurements, Estimation, Control

In this paper, electrical energy quality and its indices in ship electric networks are introduced, especially the meaning of electrical energy quality terms in voltage and active and reactive power distribution indices. Then methods of measurement of marine electrical energy indices are introduced in details and a microprocessor measurement-diagnosis system with the function of measurement and control is designed. Afterwards, estimation and control of electrical power quality of marine electrical power networks are introduced. And finally, according to the existing method of measurement and control of electrical power quality in ship power networks, the improvement of relative method is proposed.

Electrical Energy Quality Analysis in Hospital Centres

Today, energy is a vital component in the functioning of a hospital. Hospital technical facilities have several types of technologies, these include appliances for use;examination apparatus. So, for Quality Health Care in a hospital, there is a need to ensure the proper functioning of hospital equipment. In addition to the required maintenance as specified by the device manufacturer, the quality of the electrical energy across the device must be ensured. This article is an analysis of the quality of electric energy at the substation of National Hospital of Niamey. Thereby, the data collection, followed by the data processing and analysis revealed the parameters characterizing the quality of electrical energy across the substation. Our studies have shown that the substation is underutilized as the maximum inrush current is less than half the available current. The current was consumed by the three phases has resulted in a strong current unbalance (230 A). However, the current unbalance and the voltage amplitude, are admissible accordingly base on EN50160 standard. Furthermore, the harmonics voltages present in this medium are in the accepted range (1.8%) according to IEEE 519 standard. However, the fundamental frequency does not meet the standard, but the difference obtained has no adverse effect.

Implementation of Machine-to-Machine Solutions Using MQTT Protocol in Internet of Things (IoT) Environment to Improve Automation Process for Electrical Distribution Substations in Colombia

In order to incorporate smart elements into distribution networks at ITELCA laboratories in Bogotá-Colombia, a Machine-to-Machine-based solution has been developed. This solution aids in the process of low-cost electrical fault location, which contributes to improving quality of service, particularly by shortening interruption time spans in mid-voltage grids. The implementation makes use of MQTT protocol with an intensive use of Internet of things (IoT) environment which guarantees the following properties within the automation process: Advanced reports and statistics, remote command execution on one or more units (groups of units), detailed monitoring of remote units and custom alarm mechanism and firmware upgrade on one or more units (groups of units). This kind of implementation is the first one in Colombia and it is able to automatically recover from an N-1 fault.

电能高效高质转化技术与创新

电能转化是将电能转化为电能、磁能、热能、声能、光能等其他能量形式,是能源消费的核心基础,已渗透至经济发展和国防建设各个领域。电能高效高质转化技术作为绿色化、精细化能源消费革命的主体与核心技术,是国民经济和国防系统发展的基础、核心竞争力和综合实力的关键标志之一,也是国防和工业领域的“供能心脏”,对于推动我国能源低碳革命意义重大。我国电能转化技术与装备已取得了世界瞩目的成果,但仍存在工业电耗较高、装备卡脖子、国防有短板、基础研究薄弱等问题。为此,结合当前主要能源消费形式,重点梳理电能到电能、磁能、热能、声能、光能5种电能转化形式的基本原理、关键技术及发展现状,总结电能高效高质转换面临的难题及其发展对策,期望能够为我国电能转化技术与装备的发展提供一定参考。

面向功率冲击平抑的岸电系统储能型电能调控装置容量优化配置策略

针对港口岸电系统负荷侧存在的冲击性功率等电能质量问题,提出一种储能型电能调控装置容量优化配置方法。介绍港口岸电系统及储能型电能调控装置拓扑结构,并分析冲击性负荷运行特征;探讨负荷运行工况与功率因数控制目标之间的关系,根据电池荷电状态与负荷运行工况,提出储能型电能调控装置多类型运行工况自适应容量设计的补偿控制策略;建立储能型电能调控装置技术-经济模型,通过在技术模型中考虑岸电系统电能质量的要求建立容量模型,经济模型提供评估寿命成本和效益的方法。基于某港口岸电负荷实测数据,验证所提方法的有效性。

基于?分析的热电联产能耗一致性评价方法

现有热电联产能耗评价“好处归热”或“好处归电”,将节能效益单一划分给发电或供热,不能合理反映热、电两种能量的品位差异。为弥补上述不足,将蒸汽划分为凝汽流和供热流,把循环?损失依据产生根源分摊到发电和供热上,通过?分析建立电、热产品定量统一表征方法和电热能耗一致性表达式。用能质系数简化动态过程计算,将基于?分析的热电联产单耗分析模型拓展至描述电热能耗的时空分布。通过实际案例验证新算法合理性。结果表明:供热流向热网水释放的?与循环?损失构成供热量;热电联产通过回收冷源?供热和能质匹配实现发电侧和供热侧节能。能耗一致性评价方法可合理反应电热两种产品的能量品位,揭示热电联产发挥节能潜力的途径。

“双碳”目标下新能源高质量发展路径研究

新能源高质量发展是我国实现“双碳”目标、推进能源革命、构建现代能源产业体系的必由之路,其内涵就是要立足能源安全与“双碳”目标,通过体制机制与技术创新,突破能源“不可能三角”。我国新能源产业经过多年积累发展,新能源装机容量、发电量全球领先,并建立了系统完善的产业链,但未来高质量发展仍面临多方面挑战。通过SWOT分析,我国新能源发展的“优势”主要集中在规模上,而“劣势”主要表现为供应稳定性不足、配套软硬件不完善,“机会”主要来自“双碳”目标下多方因素共同推动新能源发展,“威胁”则主要来自规模日益增长下的自我协调能力不足。我国新能源产业高质量发展应双管齐下,坚持供给侧改革与需求侧响应并进的发展道路。推进风光水火储协同发展,提高负荷侧分布式新能源项目及产业运行质量,在提升负荷侧电力用户需求响应能力的同时,进一步提升发电侧的余电消纳水平。同时要做好顶层设计与动态调整,优化新能源产业布局,持续优化分时电价政策,加大智能化技术研发与应用力度,建设全国统一电力大市场,进一步改革电价形成机制。

Effect of harmonic distortion on electric energy meters of different metrological principles

This paper deals with the errors of electric energy metering devices as a result of distortions in the shape of the curves of voltage and current load. It is shown and proved that the errors in energy measurements depend on the design and the algorithms used in electricity meters. There are three main types of metering devises having different principles: inductive (electro-mechanical), elec-tronic static, and digital electronic (microprocessor). Each of these types has its measuring features. Some devices take into account all the harmonic distortions and the constant component which occur in the network while others measure the power and energy values of the fundamental harmonic only. Such traits lead to the discrepancies in the readings of commercial electric energy meters of different types. Hence, the violations in the measurement system unity occur, and a significant error can be observed in the balance of transmitted/consumed electric energy.

LED光照强度对高羊茅生长及生理特性的影响

为通过LED光源在适宜光照强度下培育高质量草坪,本研究以高羊茅(Festuca arundinacea)品种‘交战4’为试验材料,在LED红蓝光源下设置100(L100)、150(L150)、200(L200)、250(L250)、300(L300)、350(L350)μmol·(m^(2)·s)^(-1)的光照强度处理,研究不同光照强度对高羊茅形态建成、生理特性和电能利用效率的影响。结果表明,光照强度低于200μmol·(m^(2)·s)^(-1)时,明显抑制高羊茅形态建成、营养物质积累和抗氧化能力。随着光照强度的增加,高羊茅归一化植被指数和色泽逐渐提升,根系生长更为强壮,有利于高羊茅的生物量积累和抗氧化能力增强。但当光照强度增加至300μmol·(m^(2)·s)^(-1)时,光照强度对高羊茅生长的促进效果减弱。利用LED培育高羊茅电能利用效率在L350处理显著低于L100、L150、L300处理。回归分析显示,在光照强度为291.25μmol·(m^(2)·s)^(-1)时[接近300μmol·(m^(2)·s)^(-1)],高羊茅归一化植被指数最大。因此,综合认为选择光照强度为300μmol·(m^(2)·s)^(-1)时,可以满足高羊茅的正常生长,保持较高的草坪质量,减少能源的消耗。

基于传感器监测的特高压电气设备安装质量检测研究

为提高特高压电气设备安装质量检测效果,提出了基于传感器监测的特高压电气设备安装质量检测方法。利用CMOS图像传感器采集特高压电气安装结果图像;使用AR虚实图像注意力机制获取图像节点检测注意力区域图;使用深度多尺度一维卷积神经网络识别零部件类型,根据关键节点固定位置与设计位置的偏差检测特高压电气安装质量。实验结果表明:该方法在不同光照度下均能获得较清晰的特高压电气安装结果图像,零部件识别的MRE值与RMSPE值均低于0.25%,检测性能较为理想。

中国电动机质量监管及标准体系概述

This paper systematically analyzes the product quality supervision methods in China,introduces the main functions of market regulation departments and the product supervision and random inspection process,and introduces the channels for feedback on consumers’quality and safety problems,the online platform for consumer problem disposal.It also summarizes the main standards categories and standards systems for electric motors in China,and the standards and key inspection items for supervision and random inspection.

电子电器产品能效检测的质量控制技术研究

随着电子电器产品在现代社会的广泛应用,消费者对其性能和能效的要求日益提高。电子电器产品的能效检测和质量控制在产品质量可持续发展中占据了重要地位。探讨了电子电器产品能效检测和质量控制技术的方法和内容,旨在帮助制造商提高产品性能、减少能源浪费,同时确保产品质量和安全。

激光定向能量沉积承压设备鉴定方法研究

增材制造技术以其快速熔化、从下到上、层层堆叠的技术特点,在复杂异形结构与一体化成形等方面具备突出优势。该技术还具有成型效率快、材料利用率高等特点,在核能领域有着极大的发展潜力。但是,目前缺少增材制造成品鉴定方法,阻碍了其在各个领域的进一步应用。基于此,以某堆形回路干式过滤罐为对象,研究系统性的产品全流程鉴定方法,形成面向核能领域的增材制造鉴定流程。

虚拟储能技术在电厂中的应用

随着可再生能源与分布式电源技术的不断革新,电力系统迎来了新一轮的升级变革。虚拟储能技术作为一种新型的能量管理技术,为电厂的能量平衡和稳定运行提供了新的解决方案。本文综述了虚拟储能技术在现代发电厂日常工作中的应用,包括虚拟储能技术的理论研究、技术发展进程,以及虚拟技术对电厂各类工作的优化作用。事实证明,通过引入虚拟储能技术,可以有效提高能源利用率和电能质量,未来相关产业技术势必还会迎来更广泛的应用和研究。

三相电力弹簧的无源控制策略研究

针对太阳能、风能等新能源设备大规模并入电网造成的电能质量下降问题,近年来出现了电力弹簧(ES)的概念。依据推导出的三相电力弹簧(TPES)的数学模型,搭建了对应的系统模型,依据无源控制(PBC)理论,分析了系统的无源性,并分别采用传统PI控制和无源控制验证了三相电力弹簧能够维持关键负载(CL)电压的稳定。通过仿真和实验验证,在有功功率变动工况下,无源控制的超调量远远低于PI控制的13.7%,调节时间0.03 s也低于PI控制的0.07 s,静差率0.0002%也小于PI控制的0.08%,表明无源控制的动态性能和静态性能都更出色。此外,相比于传统的PI控制,无源控制所需参数更少,控制系统结构更加简单。

电线电缆标志检验的重要性及其应用

电线电缆标志检验是保证产品质量和用电安全的重要环节,但是往往在产品质量检验过程中被忽视。该文讲述电线电缆标志检验的内容、方法及其重要性,阐述检验过程中的基本内容、检验方法、注意事项和常见的不合格情况,并针对其中存在的问题提出相应的解决方案。

基于融合G-CNN的轻量化智能巡检识别算法设计

为了提升抽水蓄能发电站内巡检机器人的检测精度和效率,文中对深度学习框架下的图像识别算法展开研究。对传统卷积神经网络(CNN)进行了改进,提出一种基于Gabor CNN网络的电力智能巡检算法(G-CNN),该算法结合了Gabor滤波器的优势,具有更好的方向选择性和尺度选择性。基于抽水蓄能发电站内巡检机器人采集到的图像构建了数据集,并以此对所设计的网络进行训练,训练后的网络能够有效地对电力设备进行检测和缺陷识别。对所提算法进行的性能对比测试结果表明,引入Gabor层后,G-CNN网络较同结构的CNN网络在识别精度上提升了4.16%,同时运行时间缩短了56.59%,可以满足智能巡检的轻量化需求。

电动汽车充电站群电能质量协同监测技术

为解决现有电能质量监测技术存在的监测范围小、精度低的问题,优化设计电动汽车充电站群电能质量协同监测技术。根据电动汽车充电站群的组成结构,构建充电站群模型,模拟充电过程。针对电能质量指标配置相应的电能质量监测点,协同采集与处理电动汽车充电站群暂态信号,通过对扰动、谐波/间谐、电压偏差、频率偏差等指标的计算,得出电能质量的协同监测结果。通过与现有监测技术的对比,所设计监测技术的监测范围扩大了1306.24m^(2),且监测误差更低。

智能物联电能表扩展功能模组设计

在能源转型和数字化革命的大背景之下,仅具备传统计量、收费、通信功能的智能电能表,已经无法支撑能源互联网快速发展带来的迫切需求。文中设计了一款具备硬件扩展功能的智能物联电能表,通过采用多芯、模组化的理念,设计各类模组的标准化接口,为扩展功能模组提供电源、通信接口以及原始采样数据,可满足电力用户多样化的应用需求。以需要开展电能质量分析的应用场景为例,设计了智能物联电能表用电能质量监测模组,并通过试验验证了扩展功能模组的功能及数据监测的准确性。