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2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)最新文献

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Feasibility Study of a Hybrid CSP-CPV Power Plant in Saint Martin’s Island, Bangladesh 孟加拉国圣马丁岛CSP-CPV混合电厂可行性研究
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108355
Taki Tazwoar Ali, Fatin Fardaous, Md. Ayaj Uddin, Atik Jawad, Md. Arik Subhana
Saint Martin’s Island of Bangladesh, located remotely in the Bay of Bengal, is isolated from the national grid system. Due to its geographical location, solar power is available throughout the year in the island. Consequently, solar photovoltaic (PV) technology is currently being used for generation of electricity while battery energy storage system (BESS) is being used as a power backup. However, the BESS involves high installation and operational costs, and its lifespan is also relatively short. One way to address this issue is to utilize the thermal energy storage (TES) of concentrated solar power (CSP) technology along with concentrated solar photovoltaic (CPV) system. In this context, the feasibility of a hybrid CSP-CPV based power plant assisted by linear Fresnel reflector technology is investigated in this paper. A novel dataset of load demand is collected from the consumer end by conducting a survey. Moreover, the matching of generation with the instantaneous load demand is assessed by changing the direction of the linear Fresnel reflector mirrors. Different combinations of CPV, CSP and BESS are investigated in the study by varying their ratio. The findings show that the installation cost reduces as more of the BESS is replaced by the CSP technology. The cost is found to be minimum for the combination of 31.5% CPV and 68.5% CSP. Furthermore, the cost-effective appropriate combination also satisfies the load demand in every possible scenario. As such, with the free rotation of the reflector faces, the CSP-CPV based hybrid power plant can offer cheaper electricity to the consumers while ensuring sensitivity to load variability.
孟加拉国圣马丁岛位于孟加拉湾的偏远地区,与国家电网系统隔绝。由于其地理位置,该岛全年都可以使用太阳能。因此,目前主要使用太阳能光伏(PV)技术发电,而备用电源则使用电池储能系统(BESS)。然而,BESS的安装和运行成本较高,其使用寿命也相对较短。解决这一问题的一种方法是利用聚光太阳能(CSP)技术的热能储存(TES)以及聚光太阳能光伏(CPV)系统。在此背景下,本文研究了基于线性菲涅耳反射镜技术的CSP-CPV混合电厂的可行性。通过一项调查,从消费者端收集了一个新的负载需求数据集。此外,通过改变线性菲涅耳反射镜的方向来评估发电量与瞬时负荷需求的匹配。通过改变CPV、CSP和BESS的比例,研究了不同组合的CPV、CSP和BESS。研究结果表明,随着越来越多的BESS被CSP技术取代,安装成本降低了。31.5% CPV和68.5% CSP的组合成本最低。此外,具有成本效益的适当组合还可以满足各种可能情况下的负载需求。因此,随着反射面的自由旋转,基于CSP-CPV的混合发电厂可以为消费者提供更便宜的电力,同时确保对负载变化的敏感性。
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引用次数: 0
Studies on Solutions and Constructive Trends of Remote Control and Telemonitoring of an Outdoor Railway High-Voltage Circuit Breaker 铁路室外高压断路器远程控制与远程监控的解决方案及建设趋势研究
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108154
C. Sărăcin, Marilena Stănculescu, E. Cazacu, A. Chirilă, I. Deaconu
The main objective of this article consists in studying solutions and constructive trends of the remote control and telemonitoring system of a 27.5 kV high voltage vacuum switching bipolar circuit breaker. The proposed study creates the premises for the design, development and testing in laboratory conditions of an experimental model of a remote control and telemonitoring system of an outdoor bipolar high voltage circuit breaker with vacuum switching (Un=27.5 kV, In=1250 A, Ik=25 kA). This equipment is intended for substations in the railway system and is used to supply 25 kV power lines. The proposed circuit breaker is a component of the 696PED/2022 experimental-demonstration project referred to remote control and telemonitoring of a high-voltage switch, with vacuum switching, for the railway system.
本文的主要目的是研究27.5 kV高压真空开关双极断路器远程控制和远程监控系统的解决方案和建设趋势。本研究为室外双极高压真空开关(Un=27.5 kV, in =1250 a, Ik=25 kA)远程控制和远程监控系统的实验模型的设计、开发和实验室条件下的测试创造了前提。本设备适用于铁路系统的变电站,用于为25kv电力线供电。该断路器是696PED/2022实验示范项目的一个组成部分,该项目涉及铁路系统高压开关真空开关的遥控和远程监控。
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引用次数: 1
Development of an Electric Model for Gyrocompass for an Efficient Management of Navigation Equipment 为有效管理导航设备而建立的电罗经模型
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108250
Bogdan Asalomia, Gheorghe Samoilescu, Adelina Bordianu, Edith-Hilde Kaiter
The paper analyses the integrated management system of a marine vessel and the role of the gyrocompass within the governance system. The Energy Management System is presented with the three related subsystems: SafeSeaNet, RIS and ITS. The development of the CSCES, the implementation of the IBC and of the CBM system, the introduction of the PEBB, the supervision of the integrated navigation system with a SCADA system, constitute the basis of the hereby carried out study. Starting from the block diagram of the integrated navigation system, the block diagram for controlling the navigation information was created and depending on the errors given by the gyrocompass, an interface was created that intervenes in the process of digital/analog representation of the signals based on the electrical model of the gyrocompass.
本文分析了船舶综合管理系统以及陀螺罗经在综合管理系统中的作用。能源管理系统由SafeSeaNet、RIS和ITS三个子系统组成。CSCES的开发、IBC和CBM系统的实施、PEBB的引入、基于SCADA系统的综合导航系统的监督构成了本文开展研究的基础。从综合导航系统的框图出发,建立了控制导航信息的框图,并根据陀螺罗经给出的误差,根据陀螺罗经的电学模型,建立了干涉信号数模表示过程的接口。
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引用次数: 0
Influence of Electrical Accelerated Aging on the Conductivity and Activation Energy of Free Ions in Mineral Oil 电加速老化对矿物油中游离离子电导率和活化能的影响
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108223
Laurenţiu Marius Dumitran, A. Manea, Teodora Gorjanu
Most power transformers operating in electric grids have an insulation system made of cellulose paper and mineral oil. Generally, the service life of a power transformer is often assimilated with the lifetime of its insulation system. Therefore, the failure of the insulation system causes the most severe consequences, starting from the long interruption of the power energy to hazardous explosions that endanger human lives and have a devastating effect on the environment. This paper presents an experimental study of the influence of accelerated aging of mineral oil under the action of the electric field and partial discharges on the electric conductivity of unaged and accelerated-aged oil. To assess the main dielectric properties of mineral oil, the dielectric spectroscopy method was employed, and the real and imaginary parts of the relative permittivity with complex conductivity were determined. The obtained results prove the aging process’s important effect on the conductivity values and the nature of free charge carriers generated under the action of electric field and partial discharges.
在电网中运行的大多数电力变压器都有一个由纤维素纸和矿物油制成的绝缘系统。一般来说,电力变压器的使用寿命通常与其绝缘系统的寿命等同起来。因此,绝缘系统的故障造成的后果最为严重,从电力能源的长时间中断到危及人类生命和对环境造成毁灭性影响的危险爆炸。本文对矿物油在电场和局部放电作用下加速老化对未老化和加速老化油电导率的影响进行了实验研究。为了评价矿物油的主要介电性能,采用介电光谱法,确定了具有复电导率的相对介电常数的实部和虚部。所得结果证明了老化过程对电导率值和在电场和局部放电作用下产生的自由载流子性质的重要影响。
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引用次数: 0
Economic Dispatch with Valve, Ramp and Zone Constraints based on Particle Swarm Optimization 基于粒子群优化的阀、坡道和区域约束经济调度
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108385
Haider Al-Hussainy, L. Al-Bahrani
Power system operation can be save the energy using power Economic Dispatch (ED). It is used to be operation at optimal generation unit power for minimum fuel cost to meeting the specific load demand. The outlines of this article are the essential foundation for applying the Particle Swarm Optimization (PSO) algorithm for Economic Dispatch operation. It considers generating cost function parameters with practical constraints of ramp rate limits, prohibited operating zones, generation operating limits and valve-point loading. Several test systems of 6 units, 10 units, 13 units, and 15 generating units have been used to satisfied the propose algorithm.
采用电力经济调度(ED)可以节约电力系统的运行。在满足特定负荷需求的前提下,以最小的燃料成本,以最优发电机组功率运行。本文的概述是将粒子群优化算法应用于经济调度运行的重要基础。它考虑了发电成本函数参数与斜坡速率限制、禁止运行区域、发电运行限制和阀点负荷的实际约束。6机组、10机组、13机组和15机组的试验系统均满足所提算法的要求。
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引用次数: 1
Color Extraction Module for Unsupervised Image Classification Representation 无监督图像分类表示的颜色提取模块
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108115
Alexandru-Toma Andrei, O. Grigore
Even though working with unlabeled data has the main advantages of lower preprocessing time and resources, the drawback is that the algorithms implemented have no connection between the output and ground truth, therefore is extremely hard to represent the results. This paper proposes a deployable stand-alone module for extracting the real color of the identified classes for a more intuitive representation of the final results.
尽管处理未标记数据的主要优点是预处理时间和资源较少,但缺点是实现的算法在输出和基本事实之间没有联系,因此非常难以表示结果。本文提出了一个可部署的独立模块,用于提取识别类的真实颜色,以便更直观地表示最终结果。
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引用次数: 1
Photovoltaic Energy Harvesting System with Light Tracing Sensors 带有光跟踪传感器的光伏能量收集系统
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108296
M. Roman, Daniel Lale, Claudia Săvescu, Remus Stoica
Over the last years, solar energy has become of great interest regarding new solutions of energy harvesting, especially when it comes to the global warming topic. Hence, photovoltaic cells have gained a lot of popularity and have grabbed the attention of multiple industries that are looking to expand their energy harvesting applications, whether it means powering up certain systems or storing the energy for later usage. This paper describes a possibility of maximizing the solar energy harvesting capability of a photovoltaic system, employing light sensors for maximum power point tracking, and adjusting the position of the photovoltaic panels. Even though the efficiency of this technology is able to sustain the power consumption on a large scale, improvement methods are always researched.
在过去的几年里,太阳能已经成为能源收集的新解决方案的极大兴趣,特别是当它涉及到全球变暖的话题时。因此,光伏电池获得了广泛的普及,并吸引了多个行业的注意,这些行业正在寻求扩大其能量收集应用,无论是为某些系统供电还是储存能量以供以后使用。本文描述了最大化光伏系统太阳能收集能力的可能性,采用光传感器进行最大功率点跟踪,并调整光伏板的位置。尽管该技术的效率能够维持大规模的功耗,但改进方法一直在研究中。
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引用次数: 0
YOLOv3-based Intracranial Hemorrhage Localization from CT Images 基于yolov3的颅内出血CT图像定位
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108273
Abdesselam Ferdi, S. Benierbah, Y. Ferdi
Intracranial hemorrhage (ICH) is a common stroke type that requires an early and urgent diagnosis. The standard imaging modality for ICH diagnosis is computed tomography (CT). However, the type of hemorrhage must be identified by the neurologist to make an effective treatment decision. Although available traditional methods and deep learning-based algorithms for ICH detection can achieve excellent performance, the classification and segmentation of ICH images are difficult tasks since multiple types of ICH may exist within the CT image. Localizing ICH through a bounding box is a more straightforward task than the semantic segmentation task where the model tries to classify pixel-wise. In this work, the YOLOv3 model is proposed to localize mixed hemorrhages from CT images. Additionally, a pipeline for data augmentation was applied to address the problem of limited bounding box annotations for ICH detection. The YOLOv3 model has been evaluated and validated on the brain hemorrhage extended dataset. The proposed method achieved competitive results against state-of-the-art methods.
颅内出血(ICH)是一种常见的中风类型,需要早期和紧急诊断。脑出血诊断的标准成像方式是计算机断层扫描(CT)。然而,出血的类型必须由神经科医生确定,以做出有效的治疗决定。尽管现有的传统方法和基于深度学习的脑出血检测算法可以取得优异的性能,但由于CT图像中可能存在多种类型的脑出血,因此对脑出血图像进行分类和分割是一项困难的任务。通过边界框定位ICH是一个比语义分割任务更直接的任务,在语义分割任务中,模型试图按像素进行分类。在这项工作中,提出了YOLOv3模型来定位CT图像中的混合出血。此外,还应用了数据增强管道来解决ICH检测中限定边界框注释的问题。YOLOv3模型已在脑出血扩展数据集上进行了评估和验证。所提出的方法与最先进的方法相比取得了竞争性的结果。
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引用次数: 0
A case study for a five phase induction motor using Finite Element Analysis on healthy operation and operation with an open-phase fault 以某五相异步电动机为例,进行了正常运行和缺相故障运行的有限元分析
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108326
C. Dumitru
The paper presents the electromagnetic torque dependence with the rotor’s speed of a five phase induction motor using the Finite Element Analysis. In this study, both frequency domain analysis and step by step in time domain analysis are made imposing the rotor’s speed. It is proposed an operation point for continuous operation under one open-phase fault.
本文用有限元方法分析了五相异步电动机的电磁转矩与转子转速的关系。在本研究中,对转子转速进行了频域分析和逐级时域分析。提出了在单开相故障情况下连续运行的工作点。
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引用次数: 0
IoT Device Identification: A Machine Learning Assessment 物联网设备识别:机器学习评估
Pub Date : 2023-03-23 DOI: 10.1109/ATEE58038.2023.10108170
Robert-Alexandru Craciun, Radu Nicolae Pietraru, Mihnea Alexandru Moisescu
Internet of Things (IoT) enabled applications to become an outstanding part of the everyday activities across all industries. IoT systems are prone to cybersecurity incidents due to lack of human observation on the system. Machine Learning (ML) offer robust solutions that can implement security mechanisms for IoT systems. The current paper proposes an implementation of a device identification system based on ML algorithms, a comparison between some ML algorithms and a comparison between three different hardware platforms that can be used to implement the device identification mechanism.
物联网(IoT)使应用程序成为各行各业日常活动的重要组成部分。物联网系统由于缺乏人类对系统的观察,容易发生网络安全事件。机器学习(ML)提供了强大的解决方案,可以为物联网系统实现安全机制。本文提出了一种基于机器学习算法的设备识别系统的实现,对一些机器学习算法进行了比较,并对可用于实现设备识别机制的三种不同硬件平台进行了比较。
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引用次数: 0
期刊
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE)
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