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2022 4th Global Power, Energy and Communication Conference (GPECOM)最新文献

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ICT Enabled Smart Street Parking System for Smart Cities 面向智慧城市的ICT智能街道停车系统
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815622
Omar H. Sabry, Nada O. Zakaria, Eman Hamdan, M. Hamad, A. Abdel-Khalik
As the number of vehicles increases, the demand for parking spots in urban public areas also increased, nevertheless, the streets infrastructure remains undeveloped enough to keep up with this exponential increase. This paper introduces a solution that aims to reduce illegal parking, traffic jams and the average time for finding a free parking slot which in return decreases polluting gases emissions and saves energy. The proposed cloud-based system can be accessed by users either through an on-street terminal or a mobile application for best user experience. A detailed description of the proposed system is presented in this paper, followed by simulation results as a proof of concept.
随着车辆数量的增加,城市公共区域对停车位的需求也在增加,然而,街道基础设施仍然不够发达,无法跟上这种指数级增长。本文介绍了一种解决方案,旨在减少非法停车,交通堵塞和平均寻找免费停车位的时间,从而减少污染气体的排放,节约能源。用户可以通过街道终端或移动应用程序访问拟议的基于云的系统,以获得最佳用户体验。本文详细介绍了所提出的系统,并给出了仿真结果作为概念验证。
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引用次数: 0
Predictive Analysis of Soil Parameters for Solar-Powered Smart Irrigation System 太阳能智能灌溉系统土壤参数预测分析
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815686
D. Vrishti, B. Samiksha, S. Rahul, P. Jayesh, M. Palak, A. Sheikh
Agriculture is the backbone of any economy. More than 70% of households depend on farming to provide a living, making advancements in farming technologies are necessary. Irrigation is the most crucial and defining parameter for producing a healthy yield lack thereof can cause draught and low produce. On the flip side, over-irrigation causes deterioration of soil properties hence affecting the yield growth. An IoT-based irrigation system that integrates automation with the traditional irrigation system helps overcome these drawbacks. The paper primarily focuses on developing an intelligent system through Deep Learning Algorithms. Using Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short Term Memory (LSTM) models of deep learning, the paper proposes a strategy to establish a system that can operate automatically through the forecasted data.
农业是任何经济的支柱。70%以上的家庭依靠农业为生,因此农业技术的进步是必要的。灌溉是生产健康产量的最关键和决定性参数,缺乏灌溉会导致干旱和低产量。另一方面,过度灌溉会导致土壤性质恶化,从而影响产量的增长。基于物联网的灌溉系统将自动化与传统灌溉系统相结合,有助于克服这些缺点。本文主要关注通过深度学习算法开发智能系统。利用深度学习中的递归神经网络(RNN)、门控递归单元(GRU)和长短期记忆(LSTM)模型,提出了一种通过预测数据建立自动运行系统的策略。
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引用次数: 0
A Study on the Effect of Phase Shifter Quantization Error on the Spectral Efficiency Using Neural Network 用神经网络研究移相器量化误差对频谱效率的影响
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815775
Reza Ghazalian, Sahar Golipoor
Beamforming (BF) is the inevitable component of the recent communication systems, especially Millimeter wave (mmWave) systems. Thanks to the radio frequency (RF) and digital technologies, BF techniques are implemented in the both digital and analogue domains by using phase shifters (PS) networks. Adopting the digital PS, which has the finite resolution bits, leads to loss in the spectral efficiency (SE). Accordingly, in this paper, we extract the SE loss in a multi-user multiple inputs single output (MISO) system, which would be useful for practical prospective. To this end, we apply machine learning (ML) to extract the SE loss. Simulation results show that the extracted models have the desirable accuracy in the SE loss prediction.
波束形成(BF)是现代通信系统,尤其是毫米波系统不可避免的组成部分。得益于射频(RF)和数字技术,BF技术通过移相器(PS)网络在数字和模拟领域都得以实现。采用有限分辨率的数字PS会导致频谱效率(SE)的损失。因此,本文提取了多用户多输入单输出(MISO)系统中的SE损失,具有一定的实际应用前景。为此,我们应用机器学习(ML)来提取SE损失。仿真结果表明,所提取的模型具有较好的SE损失预测精度。
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引用次数: 0
Comparative Study of SiC MOSFET and JFET using an Active Gate Driver 使用有源栅极驱动器的SiC MOSFET和JFET的比较研究
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815779
Arijit Sengupta, M. Agamy
In this paper, a comparative study between the gate driving responses of a 1200V 65A SiC Cascoded Junction Field Effect Transistor (JFET) and a 1200V 56A SiC Metal-Oxide-Semiconductor Field Effect Transistor (MOSFET) has been explored. Firstly, a Conventional Gate Drive (CGD) circuit is implemented, followed by the proposal and implementation of an Active Gate Driver (AGD) circuit. Switching characteristics during turn-on and turn-off for both the CGD and AGD topologies are compared for the devices and it is observed that the proposed AGD circuit is capable of improving the switching stress as well as the switching losses. It is also observed that the switching losses for the JFET are lower than those of the MOSFET under identical test conditions, making it a more suitable choice for various applications.
本文对1200V 65A SiC级联结场效应晶体管(JFET)和1200V 56A SiC金属氧化物半导体场效应晶体管(MOSFET)的栅极驱动响应进行了比较研究。首先,实现了传统栅极驱动电路,然后提出并实现了有源栅极驱动电路。比较了CGD和AGD拓扑在器件的导通和关断期间的开关特性,观察到所提出的AGD电路能够改善开关应力和开关损耗。我们还观察到,在相同的测试条件下,JFET的开关损耗低于MOSFET,使其更适合于各种应用。
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引用次数: 1
Cooperative Multicell Downlink Joint Coordinated Switched Beamforming and User Pairing 协同多小区下行联合协调交换波束形成与用户配对
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815672
Youssef Fakih
Cellular networks encounter major challenges in terms of interference management and power consumption. To face these challenges, we present a new switched beamforming (SBF) scheme based on the combination of non-orthogonal multiple access (NOMA) and space division multiple access (SDMA) techniques. Then, we formulate a joint coordinated SBF and user pairing scheme in order to minimize the transmit power subject to the quality of service (QoS) constraints and pairing constraints in a fully cooperative multicell network. To solve the problem, we first provide an efficient method to compute the optimal beamformers for a user group. Then, we propose an algorithm to find the optimal pairing strategy and the optimal beamforming scheme for each group. Simulation results highlight the effectiveness of the proposed scheme.
蜂窝网络在干扰管理和功耗方面面临重大挑战。为了应对这些挑战,我们提出了一种基于非正交多址(NOMA)和空分多址(SDMA)技术相结合的新型交换波束形成(SBF)方案。然后,为了在完全合作的多蜂窝网络中最大限度地降低受服务质量约束和配对约束的发射功率,我们制定了一种联合协调的SBF和用户配对方案。为了解决这个问题,我们首先提供了一种有效的方法来计算用户组的最优波束形成。然后,我们提出了一种算法来寻找每组的最优配对策略和最优波束形成方案。仿真结果验证了该方案的有效性。
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引用次数: 0
Power System Inertia Estimation Using A Residual Neural Network Based Approach 基于残差神经网络的电力系统惯性估计方法
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815784
M. Ramirez-Gonzalez, F. R. S. Sevilla, P. Korba
The increasing penetration of non-synchronous generation into power grids is reducing the equivalent system inertia and leading to different frequency regulation and control challenges. Consequently, the monitoring and quantification of this inertia to implement actions that can keep it above critical levels have become a key issue for the stability of power systems. In this regard, a residual neural network (ResNet) based alternative is proposed and investigated in this paper to estimate the equivalent inertia of a sample system when synchronous generating units are displaced by converter-interfaced generators. The proposed ResNet model is trained according to the frequency of the center of inertia and the corresponding computed rates of change of frequency for a predefined time interval, where sudden generation outages and load step changes are considered under variations of total load demand and equivalent inertia reductions. The accuracy of the proposed approach is compared against the one achieved with the application of two traditional machine learning techniques, such as Support Vector Machine and Random Forest.
越来越多的非同步发电进入电网,减少了等效系统惯性,并带来了不同的频率调节和控制挑战。因此,对这种惯性进行监测和量化,以采取措施使其保持在临界水平以上,已成为电力系统稳定的关键问题。在这方面,本文提出并研究了一种基于残差神经网络(ResNet)的替代方法,用于估计同步发电机组被变流器接口发电机位移时样本系统的等效惯性。提出的ResNet模型是根据惯性中心的频率和相应的计算频率变化率在预定义的时间间隔内进行训练的,其中考虑了总负荷需求和等效惯性减少变化下的突然停电和负载阶跃变化。将该方法的准确性与两种传统机器学习技术(如支持向量机和随机森林)的准确性进行了比较。
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引用次数: 2
Optimal sizing and cost assessment of off grid connected hybrid microgrid system 离网并网混合微网系统优化规模及成本评估
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815817
Sumit Sharma, Yog Raj Sood, Vineet Kumar, N. Sharma, M. Bajaj, F. Jurado, S. Kamel
Renewable energy sources will be a vital option for electricity supply in rural communities. The objective of this research article is to plan a hybrid microgrid system for a rural district of Orissa i.e., Sundargarh in India. The performance of the hybrid system is analyzed based on the Total Net Present Cost (NPC), Energy Cost, Operating Cost (O.C.), and Initial Capital Cost (ICC) of the microgrid system. Also, the power production through different energy components and environmental pollutant patterns being analyzed in this article. The software employed in this study is HOMER.
可再生能源将成为农村社区电力供应的重要选择。这篇研究文章的目的是为印度奥里萨邦的一个农村地区规划一个混合微电网系统,即Sundargarh。基于微电网系统的总净当前成本(NPC)、能源成本、运行成本(O.C.)和初始资本成本(ICC)对混合系统的性能进行了分析。此外,本文还分析了不同能源成分的电力生产和环境污染模式。本研究使用的软件为HOMER。
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引用次数: 6
A Metamaterial Absorber with Ultrathin and Flexible Feature for Microwave Applications 一种用于微波应用的超薄柔性超材料吸收体
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815641
Kutay Cüneray, T. Okan, N. Akçam
A flexible metamaterial (MM) absorber, that operates in the C- and X-band frequency ranges, is reported in this study. The reflection coefficient and absorptivity responses of the proposed MM absorber is analyzed under a variety of incidence angles for transverse electric (TE) polarization. DuPont Pyralux AP9161R material, which contains Kapton polyimide dielectric, is used in the design process. It is observed in the simulation results that when the proposed absorber is bent, it maintains its high absorption characteristic at a wider frequency range in comparison t its planar form. A minimum absorption rate of 99.1% is obtained for both planar and bent absorbers at different angles of incidence
本文报道了一种可在C和x波段频率范围内工作的柔性超材料(MM)吸收体。在不同的横向电偏振入射角下,分析了所提出的MM吸收体的反射系数和吸收率响应。在设计过程中使用杜邦Pyralux AP9161R材料,该材料含有卡普顿聚酰亚胺电介质。仿真结果表明,与平面吸收器相比,弯曲吸收器在更宽的频率范围内保持高吸收特性。在不同入射角下,平面吸收体和弯曲吸收体的吸收率均达到99.1%
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引用次数: 0
State-of-Charge Balancing Control in Grid-Connected Single-Phase Cascaded H-Bridge Multilevel Converter Based Battery Storage Systems 并网单相级联h桥多电平变换器电池储能系统的状态平衡控制
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815791
F. Eroǧlu, M. Kurtoglu, A. Eren, Ahmet Mete Vural
Battery state-of-charges (SOCs) in a cascaded H-bridge multilevel converter (CHB-MLC) based battery storage systems (BSSs) may vary since electrochemical characteristics of batteries may differ. Consequently, efficiency and capacity of BSS drops drastically. Hence, SOC balancing is needed in CHB-MLC based BSSs. In this paper, a phase-shifted pulse width modulation (PS-PWM) based battery SOC balancing control scheme is proposed for grid-tied single-phase CHB-MLC based BSS. Moreover, a synchronous reference frame based bidirectional power flow control is utilized and unity power factor operation is obtained. Effective performance of the suggested BSS is tested and evaluated under different types of loads along with SOC imbalances. It is observed that while SOC balancing is accomplished successfully, active power flow is controlled and unity power factor operation is sustained.
由于电池的电化学特性不同,基于级联h桥多电平变换器(CHB-MLC)的电池存储系统(bss)中的电池充电状态(soc)可能会发生变化。因此,BSS的效率和容量急剧下降。因此,在基于CHB-MLC的bss中需要SOC平衡。针对并网单相CHB-MLC BSS,提出了一种基于相移脉宽调制(PS-PWM)的电池荷电状态平衡控制方案。利用同步参考系的双向潮流控制,实现了功率因数的统一运行。在不同类型的负载和SOC失衡情况下,对所建议的BSS的有效性能进行了测试和评估。结果表明,在成功实现荷电平衡的同时,有功潮流得到控制,单位功率因数运行得以维持。
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引用次数: 0
Design and Simulation of an Inductor based Active Cell Balancing Circuit for Lithium-ion Batteries 基于电感的锂离子电池有源平衡电路设计与仿真
Pub Date : 2022-06-14 DOI: 10.1109/gpecom55404.2022.9815650
A. Panchal, K. Bhatt, S. Gitaye, M. Bhand, A. Sheikh
In this modern era where energy demand is in-creasing at an exponential rate, energy storage devices play a crucial role in meeting the demands when needed. Rechargeable batteries are gaining momentum as the need for storing electrical energy is increasing day by day. Lithium-ion (Li-ion) technology is better than other rechargeable battery technologies due to its performance characteristics. However, under unfavourable charging and discharging conditions and/or differences in in-ternal parameters, Li-ion batteries tend to heat and adversely affect their performance which results in a reduced life cycle. The process of cell Balancing finds an important role in battery packs which takes the issue of cell imbalance into account. An active cell balancing circuit with an inductor as a storage element has been proposed in this study. The balancing of cells is carried out between four lithium-ion cells connected in series. This paper consists of a detailed study of the design and operation of the cell balancing circuit. An algorithm has been developed in stateflow and simulated on MATLAB.
在能源需求呈指数级增长的现代时代,储能设备在满足需求方面发挥着至关重要的作用。随着储存电能的需求日益增加,可充电电池正获得发展势头。锂离子(Li-ion)技术由于其性能特点而优于其他可充电电池技术。然而,在不利的充放电条件和/或内部参数的差异下,锂离子电池容易发热并对其性能产生不利影响,从而导致寿命周期缩短。电池平衡过程在电池组中起着重要的作用,它考虑了电池不平衡的问题。提出了一种以电感为存储元件的有源电池平衡电路。电池的平衡是在四个串联的锂离子电池之间进行的。本文对电池平衡电路的设计和工作进行了详细的研究。在状态流中开发了一种算法,并在MATLAB上进行了仿真。
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引用次数: 1
期刊
2022 4th Global Power, Energy and Communication Conference (GPECOM)
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