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2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)最新文献

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Voltage Behind Reactance Model of the Doubly Fed Induction Generator using Space Vectors 基于空间矢量的双馈感应发电机电抗后电压模型
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590687
J. Aller, J. Restrepo, J. Viola
In this paper, a method is proposed to develop the Voltage Behind Reactance (VBR) model of the doubly fed induction generator (DFIG) by applying space vectors. Two reference frames are used, one for the stator and the other for the rotor, to maintain the respective ports. This type of model is useful when simulations are to be performed using circuit analysis tools such as ATP-EMTP, Simulink, PSIM or similar. To demonstrate the validity of the VBR model of the DFIG machine, the results obtained by performing this modeling in ATPDraw and Simulink are compared with simple cases where the rotor is short-circuited, including an external impedance or applying voltage sources at different frequencies. The results obtained from the simulations demonstrate the validity of the model and the simplicity of its derivation using the space vector framework.
本文提出了一种利用空间矢量建立双馈感应发电机(DFIG)电抗后电压(VBR)模型的方法。使用两个参考系,一个用于定子,另一个用于转子,以保持各自的端口。当使用电路分析工具(如ATP-EMTP, Simulink, PSIM或类似工具)进行仿真时,这种类型的模型非常有用。为了验证DFIG电机VBR模型的有效性,将在ATPDraw和Simulink中进行建模得到的结果与转子短路的简单情况进行了比较,包括外部阻抗或施加不同频率的电压源。仿真结果表明了该模型的有效性和利用空间矢量框架推导模型的简便性。
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引用次数: 2
Analysis of Out-of-Step Blocking Functions of Distance Relays at Venezuelan 765kV System 委内瑞拉765kV系统距离继电器失步阻塞功能分析
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590760
Greta Navas, E. Sorrentino, E. Orea
This article describes interesting findings which were observed during the study for setting the out-of-step blocking functions of distance relays at Venezuelan 765kV system. An analysis of apparent impedances for different contingencies allowed the determination of locations where this function is necessary. For a given contingency, the apparent impedance is initially near of distance zones for some relay locations, and later for other relay locations. For a given location, the apparent impedances during power swings caused by diverse contingencies are different. That is, a unique location for the electrical center of the system does not exist. Consequently, some relays need the out-of-step blocking functions for some contingencies, other relays for other contingencies, and there are locations where this function is not necessary. The trajectories of apparent impedances tend to be almost horizontal in many cases, but there are some cases where the trajectory is almost vertical in the R-X plane.
本文描述了在委内瑞拉765kV系统中设置距离继电器的失步阻塞功能的研究过程中观察到的有趣的发现。对不同偶然性的视阻抗的分析可以确定需要这个函数的位置。对于给定的偶然性,一些继电器位置的视阻抗最初在距离区域附近,其他继电器位置的视阻抗随后在距离区域附近。对于给定位置,不同偶然性引起的功率波动时的视阻抗是不同的。也就是说,系统电气中心的唯一位置不存在。因此,一些继电器需要一些突发事件的out- step阻塞函数,另一些继电器需要其他突发事件的out- step阻塞函数,还有一些地方不需要这个函数。在许多情况下,视阻抗的轨迹几乎是水平的,但也有一些情况下,轨迹在R-X平面上几乎是垂直的。
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引用次数: 0
Message from the Conference Chairs 会议主席的致辞
Pub Date : 2021-10-12 DOI: 10.1109/etcm53643.2021.9590682
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引用次数: 0
Improvement of Dynamic Voltage Stability in a Resilient Microgrid based on Smart Inverters & SVC 基于智能逆变器和SVC的弹性微电网动态电压稳定性改进
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590762
Luis A. Paredes, M. Molina, Marcelo Pozo, B. Serrano
The microgrid (MG) has emerged as part of the technological transition to smart grids. The MG can operate in two modes: connected to a distribution network or in an isolated stand-alone way. When the transition to island mode occurs, the M G must operate in a stable, reliable, and resilient way. In this context, the distributed energy resources (DERs) that are part of the M G must respond optimally to guarantee dynamic voltage stability (DVS) and to improve operational resilience. Under resilient contingency conditions, the voltage stability and reactive power control of the MG is severely compromised. Therefore, even though DERs based on smart inverters operate according to the low-voltage ride-through (L VRT) requirements stated at the IEEE Standard 1547–2018, it is not enough to supply the reactive power deficit. Thus, this paper aims to include FACTS (flexible ac transmission systems) type compensation devices, particularly a static var compensator (SVC) that operates in coordination with DERs of the MG. The results obtained are satisfactory, and it is shown that the smart inverters used for the DERs and the SVC device operating with a coordinated control strategy improved the DVS, allowing the control of the reactive power supply and granting an adequate level of operational resilience in the isolated MG.
微电网(MG)作为向智能电网技术转型的一部分而出现。MG可以在两种模式下运行:连接到配电网或以孤立的单机方式运行。当过渡到孤岛模式时,gm必须以稳定、可靠和有弹性的方式运行。在这种情况下,作为电网一部分的分布式能源(DERs)必须做出最佳响应,以保证动态电压稳定性(DVS)并提高运行弹性。在弹性应变条件下,电网的电压稳定性和无功控制受到严重影响。因此,即使基于智能逆变器的der按照IEEE标准1547-2018中规定的低压穿越(L VRT)要求运行,也不足以提供无功功率亏缺。因此,本文旨在包括FACTS(柔性交流传输系统)类型的补偿装置,特别是与MG的der协调工作的静态无功补偿器(SVC)。结果令人满意,并且表明用于DERs和SVC设备的智能逆变器在协调控制策略下运行改善了DVS,允许控制无功电源并在隔离MG中提供足够的运行弹性。
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引用次数: 0
A 180 nm Low-Cost Operational Amplifier for IoT Applications 用于物联网应用的180nm低成本运算放大器
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590655
Kevin Vicuña, Cristhopher Mosquera, Mateo Rendón, Ariana Musello, M. Lanuzza, L. Prócel, R. Taco, L. Trojman
This paper presents the design and post-layout simulation of a two-stage operational amplifier (opamp) with Miller compensation, using a third stage that acts as output buffer to drive large loads. The TSMC 0.18μm PDK was used for the design, simulation and implementation in Cadence Virtuoso. The opamp exhibits 20μW power consumption with a 1-V rail-to-rail supply. Post layout simulation shows a unity gain bandwidth (UGBW) of 69.18 MHz $(A_{v}=mathbf{49.63dB})$ with a phase margin (PM) larger than 86° and a Slew rate of $19.87mumathrm{V}_mathrm{s}$; making our design suitable for small and large signal applications.
本文介绍了一种带米勒补偿的两级运算放大器(opamp)的设计和布局后仿真,利用第三级作为输出缓冲器来驱动大负载。采用TSMC 0.18μm PDK在Cadence Virtuoso中进行设计、仿真和实现。该opamp采用1v轨对轨供电,功耗为20μW。后置布局仿真显示,单位增益带宽(UGBW)为69.18 MHz $(A_{v}=mathbf{49.63dB})$,相位裕度(PM)大于86°,摆率为$19.87mu mathm {v} _ mathm {s}$;使我们的设计适用于小型和大型信号应用。
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引用次数: 1
Covid-19 in Ecuador: Radiography of Hospital Distribution Using Data Science 厄瓜多尔的Covid-19:使用数据科学对医院分布进行放射照相
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590641
Guillermo Rodriguez, Hover Torres, M. Fajardo, Jonathan Medina
Exploring the behavior and impact that the Covid-19 pandemic is causing on the supply of hospital services in the main cities of Ecuador is the urgent aspiration of national and local authorities and society in general. Therefore, this work evaluates the distribution and area of influence of hospitals suitable for care of critically ill patients. For the study, advanced computational techniques were used, the data were obtained from Open Street Maps OSM and the Ministry of Public Health. In this work, it is possible to chain the process of extraction of statistical data of fatality product of Covid-19, the geolocation and distribution of the Health Centers (HC) of Quito, Guayaquiñl and Cuenca. Then, based on this information, it is verified how the hospital supply capacity and the balanced distribution of HC affect the number of deaths caused by the pandemic. Concluding that Guayaquil has the highest number of deaths and has the lowest rate of HC and a more unequal distribution; on the other hand, Cuenca has the lowest number of deaths and the highest HC rate with a more balanced distribution of HC.
探索Covid-19大流行对厄瓜多尔主要城市医院服务供应造成的行为和影响,是国家和地方当局以及整个社会的迫切愿望。因此,本工作评估适合重症患者护理的医院分布和影响范围。在这项研究中,使用了先进的计算技术,数据来自开放街道地图OSM和公共卫生部。在这项工作中,可以将Covid-19死亡产品统计数据的提取过程与基多、Guayaquiñl和昆卡卫生中心(HC)的地理位置和分布联系起来。然后,根据这些信息,验证医院的供应能力和HC的平衡分布如何影响大流行造成的死亡人数。结论是瓜亚基尔的死亡人数最高,HC率最低,分布更不平等;另一方面,昆卡的死亡率最低,丙型肝炎发病率最高,丙型肝炎分布更为均衡。
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引用次数: 0
Multi-objective Optimization of Active and Reactive Power to assess Bus Loadability Limit 评估母线负载极限的有功和无功多目标优化
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590665
Diego Arias-Cazco, Angel Vaca Peñafiel
This work establishes a solution to assess the bus loadability limits by using a multi-objective optimization evaluation of active and reactive power. As a part of the methodology, it is also considered the operating limits of the Electric Power Systems (EPS), such as the generation capacity, reactive power reserves, active power capacity, restrictions of the transmission system, and bus voltages. The Pareto front is obtained from the multi-objective problem, represented by the bus's PQ curve under analysis. The multiobjective optimization problem is solved by combining two functions and the limits of active and reactive power margins at the same bus. Complementary, the methodology is applied to the IEEE 14 Bus system to evaluate its applicability, analyze the results, and evidence its strengths. Thus, a reliable method is provided to assess the bus's power margins, the system's security in electrical networks, and the EPS loadability limits.
本文建立了一种利用有功和无功功率的多目标优化评估方法来评估母线负载极限的解决方案。作为方法的一部分,它还考虑了电力系统(EPS)的运行限制,如发电容量、无功功率储备、有功功率容量、输电系统的限制和母线电压。由多目标问题得到帕累托前沿,用所分析的公交车PQ曲线表示。采用两函数结合和同一母线上有功裕度和无功裕度的限制来求解多目标优化问题。作为补充,将该方法应用于IEEE 14总线系统,以评估其适用性,分析结果,并证明其优势。因此,提供了一种可靠的方法来评估总线的功率裕度、系统在电网中的安全性和EPS负载限制。
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引用次数: 0
Differences Between Effective and Physical Roughness Parameter- A Headwater Mountain River Experiment 有效粗糙度参数与物理粗糙度参数的差异——一个山源河流试验
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590636
S. Cedillo, L. Timbe, E. Sánchez-Cordero, E. Samaniego, K. Narea, A. Alvarado
One-dimensional hydrodynamic models (HM) are widely used in the hydraulic modeling of rivers and channels. The result obtained with this type of model depends largely on correct estimation the roughness parameter. The value of the roughness parameter obtained through a HM calibration process differs from the one measured in the field. Hence, the objective of this research is focused on identifying the difference between physical and effective roughness for different morphologies present in Mountain Rivers. Physical roughness was indirectly measured with field data and Manning equation, while Effective roughness was found through GLUE experiments using water depth as validation data in one dimensional models in HEC RAS. Physical and effective roughness coefficients have shown differences depending on the morphology. In Cascade and Step-pool the physical roughness is higher than effective roughness, while in Plane-bed effective roughness is higher than physical roughness. The differences are attributed to the deviations that occur between the real conditions and the flow idealizations in an 1D - HD model. For any modelling application is important to research roughness values used previously and avoid formulations or tables which are based on field measurements.
一维水动力模型(HM)广泛应用于河流和河道的水力模拟。这种模型的结果很大程度上取决于粗糙度参数的正确估计。通过HM校准过程获得的粗糙度参数值与现场测量值不同。因此,本研究的目的集中在确定山地河流中不同形态的物理粗糙度和有效粗糙度之间的差异。物理粗糙度通过现场数据和Manning方程间接测量,有效粗糙度通过GLUE实验以水深为验证数据,在HEC RAS的一维模型中得到。物理和有效粗糙度系数表现出不同的形貌。在梯级和阶梯池中,物理粗糙度大于有效粗糙度,而在平面床中,有效粗糙度大于物理粗糙度。这种差异是由于在一维-高清模型中实际条件与流动理想化之间发生的偏差造成的。对于任何建模应用来说,重要的是研究以前使用的粗糙度值,避免基于现场测量的公式或表。
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引用次数: 0
Heart Disease Detection with Deep Learning Using a Combination of Multiple Input Sources 基于多输入源组合的深度学习心脏病检测
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590672
S. Shinde, Juan Carlos Martinez-Ovando
Disease detection is quite a difficult task and it requires medical training and experience. When it comes to heart disease diagnostics, it gets even more complex due to the additional specialization and expertise required. One of the common ways for detecting heart diseases used by heart specialists is by listening to the patient's heartbeat via a stethoscope and interpreting the sound. In this paper, we describe how we can use deep learning techniques to detect heart diseases in patients by analyzing audio recording or real time streaming of heartbeats to predict whether the patient is healthy or sick. The deep neural network model developed is a hybrid model as it combines the innate characteristics of convolutional and recurrent neural network models, which helped achieve higher accuracy in the prediction results as compared to current published results. The dataset used for training the model is a combination of two separate data science competition datasets. We used data augmentation techniques on this combined dataset to increase its size and diversity. When we tested the final model, it showed a significantly better performance as compared to the state of the art.
疾病检测是一项相当困难的任务,它需要医学培训和经验。当涉及到心脏病诊断时,由于需要额外的专业化和专业知识,它变得更加复杂。心脏病专家常用的一种检测心脏病的方法是通过听诊器听病人的心跳并解读声音。在本文中,我们描述了如何使用深度学习技术通过分析音频记录或实时心跳流来预测患者是健康还是生病来检测患者的心脏病。所开发的深度神经网络模型是一种混合模型,它结合了卷积和递归神经网络模型的固有特性,与目前发表的结果相比,有助于实现更高的预测结果准确性。用于训练模型的数据集是两个独立的数据科学竞赛数据集的组合。我们在这个组合数据集上使用了数据增强技术来增加它的大小和多样性。当我们对最终模型进行测试时,它的性能明显优于现有的模型。
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引用次数: 4
Microlearning Method to Building Learning Capsules for Older Adults: A Case Study for COVID-19 Prevention at Home 构建老年人学习胶囊的微学习方法:以家庭COVID-19预防为例
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590793
D. Gomez, Alexandra Bermeo, Daniela Prado, Priscila Cedillo
Nowadays, older adults need to actively participate in society's processes and activities without being isolated, abandoned, discriminated against, or placed in a vulnerable situation. The COVID-19 pandemic shows a gradual increase in risk with age, which has led to confinement for this population sector. With these considerations, it is advisable to educate older adults on the general measures to prevent COVID-19, to adapt to today's society and decrease the likelihood of contagion. In this sense, a learning artifact about COVID-19 prevention measures, through a methodology for creating learning capsules for older adults designed to educate from home through mobile devices. Moreover, for evaluating the perceptions of the users about the proposed learning artifact, a case study where older people participated was proposed; here, the Technology Acceptance Model (TAM) was used.
如今,老年人需要在不被孤立、不被抛弃、不被歧视、不被置于弱势地位的情况下积极参与社会进程和活动。COVID-19大流行显示,随着年龄的增长,风险逐渐增加,这导致这一人口群体受到限制。考虑到这些因素,建议对老年人进行预防新冠肺炎的一般措施教育,以适应当今社会,降低感染的可能性。从这个意义上说,这是一个关于COVID-19预防措施的学习工具,通过一种为老年人创建学习胶囊的方法,旨在通过移动设备在家中进行教育。此外,为了评估使用者对所建议的学习工件的看法,提出了一个老年人参与的案例研究;这里使用的是技术接受模型(TAM)。
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引用次数: 2
期刊
2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)
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