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2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)最新文献

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A broad review on optimal operation of Virtual power plant 虚拟电厂优化运行研究综述
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036530
Poushali Pal, A. Parvathy, K. Devabalaji
In today’s world virtual power plant plays a major role to aggregate distributed energy resources (DERs) to the electricity market. The procedure, objectives and the scheduling problems of DERs is a very important issue in the power system. This problem can be eliminated by VPP concept. Virtual power plant can be employed for different purposes and has its own special significance. So, a thorough literature review is necessary in this field. In this paper the optimization techniques of VPP is studied from various aspects and with different framework. A framework of optimal operation is presented in this review.
在当今世界,虚拟电厂在向电力市场聚集分布式能源方面发挥着重要作用。在电力系统中,DERs的程序、目标和调度问题是一个非常重要的问题。VPP概念可以消除这一问题。虚拟电厂可以用于不同的目的,有其特殊的意义。因此,对这一领域进行全面的文献综述是必要的。本文从不同的角度、不同的框架对VPP的优化技术进行了研究。本文提出了一个优化操作的框架。
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引用次数: 5
Experimental and Numerical Studies on a Cross Axis Wind Turbine 跨轴风力机的试验与数值研究
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036480
S. Seralathan, J.S Revanth Gupta, T. Micha Premkumar, R. Balaji, D. Prasanth, V. Hariram
The drawbacks faced in HAWT and VAWT is overcome by cross axis wind turbine (CAWT) which exploits wind energy irrespective of wind direction. Experimental and numerical investigations are performed to study the performance parameters of CAWT and understand the flow physics. Experimental investigations are done by varying the wind velocity from 4m/s to 10m/s using mechanical loading. In general, coefficient of power ($mathrm{C}_{mathrm{p}}$) value of CAWT gradually increases and it reaches the maximum value around tip speed ratio 1.20. A peak $mathrm{C}_{mathrm{p}}$ value of 0.02385 is obtained for wind velocity V=10m/s. Numerical investigations using ANSYS CFX revealed the formation of vortex in CAWT. The size of vortex observed gets reduced as the wind velocity is increased resulting into improved performance for CAWT. On comparing the $mathrm{C}_{mathrm{p}}$ value of CAWT with existing VAWTs, it is observed that it is higher. The peak $mathrm{C}_{mathrm{p}}$ value is 177% more compared to existing VAWTs. Based on this study, it can be concluded that CAWT design enables it to give an enhanced performance by extracting wind energy from both horizontal and vertical wind components.
横轴风力发电机(CAWT)利用风能,不受风向的影响,克服了垂直轴风力发电和垂直轴风力发电的缺点。通过实验和数值研究来研究CAWT的性能参数,了解其流动物理特性。通过机械加载将风速从4m/s变化到10m/s,进行了实验研究。一般情况下,CAWT的功率系数($ mathm {C}_{ mathm {p}}$)值逐渐增大,在叶尖速比1.20左右达到最大值。当风速V=10m/s时,得到$ mathm {C}_{ mathm {p}}$的峰值值为0.02385。利用ANSYS CFX进行数值研究,揭示了CAWT中涡的形成。随着风速的增加,观测到的涡的大小减小,从而提高了CAWT的性能。将CAWT的$mathrm{C}_{mathrm{p}}$值与现有的vawt进行比较,可以看出它更高。峰值$ mathm {C}_{ mathm {p}}$值比现有的vawt高177%。基于本研究,可以得出结论,CAWT设计可以通过从水平和垂直风分量中提取风能来增强其性能。
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引用次数: 0
A Financial Feasibility Analysis of Hydrogen in Microgrids 氢在微电网中的财务可行性分析
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036682
Niteesh S. Shanbog, Yashodhan P. Agalgaonkar, U. Rajarathnam
The non-conventional generation sources like solar and fuel cell connected to microgrids generate power in DC. There is also a significant load which can be supplied with DC power. This has stimulated research in DC microgrids. The futuristic technology trend is the role of Hydrogen in microgrids as storage, in fuel cell and for mobility applications. However, a microgrid comprising of hydrogen necessitates a robust financial analysis. This paper deals with the financial modelling of the hydrogen in a microgrid. The optimization-based planning of a DC microgrid system which uses solar, hydrogen is proposed. Various economic factors like Net Present Cost, Operational Cost, Initial Capital and the Cost of Energy Unit are calculated for various topologies. The financial analytical methodology discussed can also be broadly used to design cost-effective microgrid architecture.
与微电网连接的太阳能、燃料电池等非传统发电源以直流方式发电。还有一个重要的负载可以用直流电源供电。这刺激了直流微电网的研究。未来的技术趋势是氢在微电网中的作用,如存储、燃料电池和移动应用。然而,由氢组成的微电网需要强有力的财务分析。本文研究了微电网中氢气的财务模型。提出了基于优化规划的太阳能、氢气直流微电网系统。各种经济因素,如净现值成本,运营成本,初始资本和能源单位成本计算不同的拓扑结构。所讨论的财务分析方法也可以广泛用于设计具有成本效益的微电网架构。
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引用次数: 0
IoT Based Energy Management for Smart Home 基于物联网的智能家居能源管理
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036546
U. Ramani, S.Sathiesh kumar, T. Santhoshkumar, M. Thilagaraj
In today’s scenario all the technologies are operated in automatic condition from anywhere around the world. Based on our government system first 100 unit of energy is not calculated by energy meter, which is used to calculate the electricity consumed unit in the consumer node. Generally the IoT’s are used for home automation application such as fan and lamp was controlled by mobile phones based on cloud platform. The existing microcontroller is used to control only one data at a time for cloud based process. However to control the data but cannot provide continues energy to the consumer node. This cloud platform is only stores the dates and control to the controller parts with use of ThinkSpeak website. But in this paper deals with monitoring the energy from the solar and energy meter with help of Arduino controller and home automation is done by IoT with Esp8266 Wifi module. This module is used for control both the data’s and monitoring the energy level of the consumer side. The data from solar and energy meter is sent to the cloud through the Wi-fi module and these data’s are dumped into the arudino controller. The controller controls both the data’s parallely with help of IoT and data’s are displayed in LCD. Thus the results of IoT energy from solar and energy meter are provides continues energy to the consumer for home appliances.
在今天的场景中,所有的技术都在世界各地的自动条件下运行。基于我国政府系统,前100个单位的能源不通过电能表计算,电能表是用来计算消费节点上消耗的单位电量的。物联网通常用于家庭自动化应用,例如风扇和灯是基于云平台由手机控制的。现有的微控制器用于一次仅控制基于云的过程中的一个数据。但是控制数据却不能向消费者节点提供持续的能量。该云平台仅使用ThinkSpeak网站将日期和控件存储到控制器部件。但本文讨论的是借助Arduino控制器监测太阳能和电能表的能量,并通过物联网与Esp8266 Wifi模块实现家庭自动化。该模块用于控制数据和监测用户端的能量水平。来自太阳能和电表的数据通过Wi-fi模块发送到云端,这些数据被转储到arduino控制器中。控制器借助物联网并行控制两个数据,数据显示在LCD上。因此,来自太阳能和电表的物联网能源的结果为家用电器的消费者提供了持续的能源。
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引用次数: 24
Optimization of wind thermal coordination dispatch using Flower Pollination Algorithm 基于花授粉算法的风热协调调度优化
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036495
K. Dhayalini, A. Prabhu
In this paper the integration of thermal generators with wind units are considered and the solution of wind thermal dispatch problem using Flower Pollination Algorithm (FPA) is implemented. This algorithm is implemented to find the minimum production cost with valve effects of thermal units included. The approach is validated using two IEEE test systems consisting of six and thirteen units with a wind farm of 100MW capacity. The analysis is carried out neglecting the transmission losses. Simulation results predict the inclusion of wind power reduces the overall production cost.
本文考虑了热电机组与风力发电机组的集成问题,利用传粉算法(FPA)实现了风电热调度问题的求解。利用该算法求出考虑热单元阀门效应的最小生产成本。该方法通过两个IEEE测试系统进行了验证,该测试系统由6个和13个单元组成,具有100MW容量的风电场。在进行分析时忽略了传输损耗。仿真结果表明,风电的加入降低了整体生产成本。
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引用次数: 9
Electrical Motor Maintenance Techniques and Life Cycle Assessment- A Review with Case Studies 电机维修技术和生命周期评估-案例研究综述
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036543
G. Ayyappan, Narayanan K Nikhil, Raghavan. M Raja, V. Pandi, T. S. Angel, B. R. Babu
Electric motors are one of the biggest consumers of electricity across the world. They account for almost 40-45% of the electricity utilized by the industry. This growth is almost two times fast as the comprehensive demand for energy across the world and it is the highest since 2010. Therefore, the use of electrical motors should be in an efficient way, so that energy consumption will be kept under minimum value. Life Cycle Assessment (LCA) of an electric motor is the method of finding the whole impact it will have during the total lifetime Predictive maintenance is one of the few methods for making the motor work in its full potential. This study focuses on different LCA techniques and maintenance techniques of electric motors.
电动机是世界上最大的电力消费者之一。它们占该行业用电量的近40-45%。这一增长速度几乎是全球能源综合需求的两倍,是2010年以来的最高水平。因此,应高效地使用电动机,使能耗保持在最小值以下。电机的生命周期评估(LCA)是发现电机在整个生命周期内的整体影响的方法,预测性维护是使电机充分发挥其潜力的少数方法之一。本研究的重点是不同的LCA技术和电机的维护技术。
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引用次数: 4
Efficient Electron Carrier distribution of n+ MoS2/i-MoS2/p-Si Heterojunction Solar Cell n+ MoS2/i-MoS2/p-Si异质结太阳能电池的高效载流子分布
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036549
R. Parasuraman, K. Rathnakannan
In this paper, modeling and simulation study of energy harvested nano electronics of PV device and its functions under different light intensity have been discussed. The emitter layer of the proposed solar cell has been designed to enhance the photocurrent efficiency even at low electric field. The Electron-hole pair generation of the proposed model is increased to $4.9^{star}10^{28}[1/(mathrm{m}^{2_{star}}s)]$ due to optimized intrinsic $Momathrm{S}_{2}$ layer thickness. As a result, the charge carriers distribution enhanced the carrier collection efficiency in the absorber layer. This study reveals that the proposed Energy harvesting device Open-circuit Voltage ($mathrm{V}_{0mathrm{C}}$) and Short circuit Current density(Jsc) are 1.982[V], 31.22[mA/cm2]. respectively and its efficiency found to be 31.91 %. These simulations showed that can be environmental stability and excellent carrier distribution solar cell.
本文对光伏器件的能量收集纳米电子学及其在不同光强下的功能进行了建模和仿真研究。该太阳能电池的发射层被设计为即使在低电场条件下也能提高光电流效率。由于优化了固有的Mo mathm {s}_{2}$层厚度,该模型的电子-空穴对生成提高到$4.9^{star}10^{28}[1/( mathm {m}^{2_{star}}s)]$。结果表明,载流子的分布提高了吸收层载流子的收集效率。研究表明,所设计的能量收集装置开路电压($ mathm {V}_{0 mathm {C}}$)和短路电流密度(Jsc)分别为1.982[V]、31.22[mA/cm2]。结果表明,其效率为31.91%。仿真结果表明,该电池具有良好的载流子分布和环境稳定性。
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引用次数: 0
Mobile Ad Hoc Network for Security Enhancement 增强安全性的移动自组网
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036648
R. Seetharaman, L.Harihara Subramaniam, S. Ramanathan
This project enhances the security in which Ad Hoc On-Demand Distance Vector (AODV) routing protocol for MANETs with the game theoretical approach. This is achieved by using public key and private key for encryption and decryption processes. Proactive and reactive method is implemented in the proposed system. Reactive method is done in identification process but in proactive method is used to identify the nodes and also block the hackers node, then change the direction of data transmission to good nodes. This application can be used in military, research, confidential and emergency circumferences.
本课题利用博弈论的方法,提高了自组织按需距离矢量(AODV)路由协议的安全性。这是通过对加密和解密过程使用公钥和私钥来实现的。该系统采用了主动和被动相结合的方法。在识别过程中采用被动方法,而主动方法在识别节点的同时,阻断黑客节点,将数据传输方向改为好的节点。该应用程序可用于军事、研究、机密和紧急情况。
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引用次数: 1
A 17-Level Asymmetric Multilevel Inverter with Fundamental Frequency PWM Schemes 基于基频PWM方案的17电平非对称多电平逆变器
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036620
R. Ramaprabha, S. Malathy, N. Ramya Krishnan
Reduced component count (RCC) inverters are being explored extensively due to better reliability and level to switch ratio. In this paper, analysis is performed on a RCC multilevel inverter that can generate 9 levels on symmetric mode and 17 levels on the asymmetric mode. The analysis is done with fundamental PWM techniques like Half Height (HH) method, Equal-Phase (EP) method, Half Equal Phase (HEP) method and Feed-Forward (FF) method. The performance is analysed through MATLAB based simulations and the comparison on the harmonic distortion is presented.
由于具有更好的可靠性和开关电平比,减少组件计数(RCC)逆变器正在被广泛探索。本文对一种在对称模式下可产生9个电平,在非对称模式下可产生17个电平的RCC多电平逆变器进行了分析。分析使用基本的PWM技术,如半高(HH)方法,等相(EP)方法,半等相(HEP)方法和前馈(FF)方法。通过MATLAB仿真对其性能进行了分析,并对谐波失真进行了比较。
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引用次数: 1
Fusion of MRI and PET Images Using Deep Learning Neural Networks 基于深度学习神经网络的MRI和PET图像融合
Pub Date : 2019-08-01 DOI: 10.1109/ICPEDC47771.2019.9036665
M. Muthiah, E. Logashamugam, B. V. Reddy
Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI) are the two oldest modalities for the detection of brain tumor. These two images provide complementary information. Physicians have to analyze both the images in order to make a decision. Rather than analyzing two different images, it would be better if these images are combined together as a single image. Image fusion refers to the process of combining two different images into a single image. In this research work, a novel feature based image fusion is performed on both MRI and PET images using Convolutional Neural Network (CNN) by extracting features. Features representing texture, shape, edges and other discontiuites are extracted and are then combined to form the output image. Signal to Noise Ratio (SNR) which provides the information present in the input image (<40 represents usefule information in the image) and entropy (entropy approaching one indicates more information) are used as objective measures. Entropy and SNR are higher for CNN based image fusion than that of Discrete Wavelet Transform (DWT). It implies that information from both the input images is available in the output image.
正电子发射断层扫描(PET)和磁共振成像(MRI)是检测脑肿瘤的两种最古老的方法。这两幅图像提供了互补的信息。医生必须分析这两幅图像才能做出决定。与其分析两个不同的图像,不如将这些图像组合成一个图像。图像融合是指将两幅不同的图像合并为一幅图像的过程。在本研究中,利用卷积神经网络(CNN)对MRI和PET图像进行特征提取,实现了一种基于特征的图像融合。代表纹理、形状、边缘和其他不连续点的特征被提取出来,然后组合起来形成输出图像。信噪比(SNR)提供了输入图像中存在的信息(<40表示图像中有用的信息)和熵(熵接近1表示更多信息)被用作客观度量。与离散小波变换(DWT)相比,基于CNN的图像融合具有更高的熵和信噪比。这意味着来自两个输入图像的信息都可以在输出图像中使用。
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引用次数: 4
期刊
2019 2nd International Conference on Power and Embedded Drive Control (ICPEDC)
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