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2019 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)最新文献

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Solar Pv Fed Electric Vehicle Charging System With Hybrid Energy Storage System 带有混合储能系统的太阳能光伏充电系统
T. Porselvi, J. Nisha, K. Thendral, Devi. P Vasantha
This paper presents about the efficient range of power supply and it is highly reliable for an Electric Vehicle charging system. Battery, Solar PV source, Super capacitor plays a vital role for this extended power supply. Main source of power is battery, and is connected with super capacitor during transient phase like overloading and starting. To charge the Hybrid Electric Vehicle, the Hybrid Energy Storage System(HESS) along with super capacitor and battery is widely used for improving the charging and discharging characteristics of the battery, thus increases the instantaneous output power. For the purpose of reducing the energy loss of the Battery Supercapacitor Hybrid Energy Storage System, the bidirectional DC/DC converter with the soft switching technology is mandatory. Initially, the power received from the PV array is utilized to charge the supercapacitor as well as battery. when the PV could not supply enough power to charge the EV, then the power from the battery and Supercapacitor can be utilized. System performance is also compared with and without using Supercapacitor with the help of MATLAB software.
本文介绍了电动汽车充电系统的有效供电范围和高可靠性。电池,太阳能光伏电源,超级电容器在这种扩展电源中起着至关重要的作用。主要电源为蓄电池,过载、启动等瞬态阶段与超级电容连接。为了给混合动力汽车充电,混合储能系统(HESS)与超级电容器和电池一起被广泛应用,以改善电池的充放电特性,从而增加瞬时输出功率。为了降低电池超级电容混合储能系统的能量损失,必须采用软开关技术的双向DC/DC变换器。最初,从光伏阵列接收的电力被用来给超级电容器和电池充电。当光伏无法提供足够的电力给电动汽车充电时,可以利用电池和超级电容器的电力。在MATLAB软件的帮助下,对使用和不使用超级电容器时的系统性能进行了比较。
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引用次数: 3
ICCPEIC 2019 Cover Page icecpeic 2019封面
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引用次数: 0
Effective method for Shape based Image Retrieval using Pyramid of Histogram of Oriented Gradients 基于梯度方向直方图金字塔的图像形状检索方法
Sanket Bhave, A. Giri, Shravan Bhavsar
Shape Based Image Retrieval (SBIR) is a technique to retrieve images from the database by extracting the shape features of the object. In SBIR, shape features are extracted and then similarity matching is carried out based on some measure. Pyramid of Histogram of Oriented Gradients (PHOG), an improvised version of Histogram of Oriented Gradients (HOG), is very efficient for calculation of feature vector of an image. In this paper, PHOG along with Locality Sensitive Hashing has been exploited as a novel approach to SBIR. Locality Sensitive Hashing (LSH) is used for bit-level similarity matching.
基于形状的图像检索(SBIR)是一种通过提取物体的形状特征从数据库中检索图像的技术。该方法首先提取形状特征,然后根据一定的度量进行相似度匹配。有向梯度直方图金字塔(PHOG)是有向梯度直方图(HOG)的改进版本,对于图像特征向量的计算非常有效。在本文中,PHOG和位置敏感哈希作为一种新的SBIR方法被利用。局部敏感哈希(Locality Sensitive hash, LSH)用于位级相似性匹配。
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引用次数: 0
Implementation of smart infrastructure for electric vehicle charging station with minimizing battery charging time 最小化电池充电时间的电动汽车充电站智能基础设施的实现
K. C, V. B. Pulavarthi
A need for electricity increases rapidly. Now in technology and research field highly innovations are done. For the growth of generation and manage the need for electricity demand is one of the tasks for development county. EV’s are launched in India. The management and stability of the system are important. Using the bidirectional converter is one of the best solutions. We charge and discharge our EV at the charging station. By using renewable source the greenhouse gases effect will reduce. For that charging of the method, PV panels are used. The battery is a device which uses for the storage of electricity. We can charge the battery at a minimum time period and increase the lifespan of the battery by controlling other parameters.
对电力的需求迅速增加。现在在技术和研究领域进行了高度创新。为实现发电量的增长和对电力需求的管理是发展县域的任务之一。电动汽车在印度推出。系统的管理和稳定性非常重要。使用双向变换器是最好的解决方案之一。我们在充电站给电动汽车充电和放电。通过使用可再生能源,温室气体效应将会减少。对于该方法的充电,使用光伏电池板。电池是一种用来储存电能的装置。我们可以在最短的时间内给电池充电,并通过控制其他参数来延长电池的使用寿命。
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引用次数: 0
Interest Forwarding Strategies In Vehicular Named Data Networks 车辆命名数据网络中的兴趣转发策略
G. Manisha, Selvan G S R Emil, Dr.Ramkumar M P
Vehicular Ad-hoc Network (VANET) architecture consider the vehicles in motion as nodes in the network, in which each node acts as an end-user as well as a router. The highly dynamic topologies in VANETs cause the end-to-end connection establishment to be difficult. Named Data Networking (NDN) is a future Internet architecture, which locates the requested content using the unique content names for effective content retrieval. The NDN properties have been adapted into VANETs for efficient content delivery and hence, named as Vehicular Named Data Networks (VNDN). Due to continuously moving vehicles in the network, unfulfilled Interest packets overflow may occur and hence resulting in network overloads. Hence, a various Interest forwarding strategies have been proposed for NDN enabled VANETs. The VNDN architecture along with the various Interest forwarding strategies for effective content retrieval are discussed.
车辆自组织网络(VANET)架构将行驶中的车辆视为网络中的节点,其中每个节点既是终端用户又是路由器。VANETs中高度动态的拓扑结构给端到端连接的建立带来了困难。命名数据网络(NDN)是未来的Internet体系结构,它使用唯一的内容名称来定位请求的内容,从而实现有效的内容检索。NDN属性已被改编为vanet,以实现高效的内容交付,因此被命名为车辆命名数据网络(VNDN)。由于网络中车辆的不断移动,可能会出现未完成的兴趣包溢出,从而导致网络过载。因此,针对支持NDN的vanet提出了各种兴趣转发策略。讨论了VNDN体系结构和各种兴趣转发策略,以实现有效的内容检索。
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引用次数: 4
Power Flow Control and Voltage Profile Improvement Using HPFC with Genetic Algorithm 基于遗传算法的HPFC功率流控制与电压分布改进
A. Murugan, V. Ramakrishnan
Power flow control is the critical factor affecting power transmission system. In power transmission line the Hybrid Power Flow Controller (HPFC) is applied for standardize the power flow control. Then the results presented using UPFC and HPFC equations. So these equations of HPFC power balance equations of network are united in to only one set of non-linear algebraic equations. The UPFC and HPFC are calculated primarily with the help of Neuton Raphson Method. Even though this kind of controller is a very expensive controller it provides about its arrangement. The performance evaluation of various FACTS controllers in a wide selection of working and blame circumstances has been completed. Then UPFC has a better quality power flow control attribute when contrasted or balanced with different FACTS controllers. The distinctive HPFC designs intended by the specialist have been executed on a MMIB framework. A power system of UPFC and HPFC are produced utilizing limitation conditions and target capacities. Here ideal situation of UPFC and HPFC are acquired by utilizing Genetic Algorithm (GA) based approach. A power system model of UPFC and HPFC are created utilizing very important conditions and target capacities and it is contrasted the uncompensated system. Then the proposed methodology established for IEEE-30 bus test system utilizing MATLAB satisfied record. Finally the results are compared with and without UPFC and HPFC. Then real and reactive power flows in the line and check bus voltages are to be analyzed the performance of UPFC.
潮流控制是影响输电系统运行的关键因素。在输电线路中,采用混合潮流控制器(HPFC)来规范潮流控制。然后给出了UPFC和HPFC方程的计算结果。因此,将这些HPFC网络功率平衡方程统一为一组非线性代数方程。UPFC和HPFC的计算主要借助牛顿-拉夫逊方法。尽管这种控制器是非常昂贵的控制器但它提供了它的布局。完成了各种FACTS控制器在多种工作和故障情况下的性能评估。通过与不同的FACTS控制器进行对比或平衡,UPFC具有更好的功率流控制特性。专家设计的独特HPFC设计已在MMIB框架上执行。利用极限条件和目标容量制备了UPFC和HPFC的电力系统。利用遗传算法获得了UPFC和HPFC的理想状态。利用重要条件和目标容量分别建立了UPFC和HPFC的电力系统模型,并与无补偿系统进行了对比。然后利用MATLAB建立了IEEE-30总线测试系统的满意记录。最后比较了UPFC和HPFC在使用和不使用时的结果。然后分析了UPFC的实际和无功功率流以及检测母线电压。
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引用次数: 1
A Survey Of Different Workflow Scheduling Algorithms In Cloud Computing 云计算中不同工作流调度算法综述
V. Seethalakshmi, V. Govindasamy, V. Akila, G. Sivaranjini, K. Sindhuja, K. Prasanth
Cloud computing is a suitable platform to execute large applications with huge amount of resources to provide a variety of services to the users. Workflow scheduling plays a major role in cloud computing for the optimal resource utilization. It mainly focuses on the effective application of resources and to reduce the resource allocation time. Hence, workflow scheduling is the essential part in Cloud Computing. There are various scheduling algorithms considering parameters such as Throughput, Energy Consumption, Makespan, Resource Utilization, Cost, Computational Time, Bandwidth and Resource Availability. A number of scheduling algorithms are present in cloud computing but the examination of those algorithms are less likely to find. In order to get a clear idea on various scheduling algorithms, the proposed paper gives a survey on various scheduling algorithms. The proposed survey tries to shed light on the comparison of scheduling algorithms present in cloud computing.
云计算是执行具有大量资源的大型应用程序以向用户提供各种服务的合适平台。工作流调度是云计算中实现资源优化利用的重要手段。它主要关注资源的有效利用和减少资源分配时间。因此,工作流调度是云计算的重要组成部分。有各种调度算法考虑的参数,如吞吐量,能耗,Makespan,资源利用率,成本,计算时间,带宽和资源可用性。云计算中存在许多调度算法,但对这些算法的检查不太可能发现。为了对各种调度算法有一个清晰的认识,本文对各种调度算法进行了综述。提出的调查试图阐明云计算中调度算法的比较。
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引用次数: 4
Beach Cleaning Bot Based On Region Monitoring 基于区域监测的海滩清理机器人
J. Priya, K. Balaji, Saikrish Thangappan, G. Yuva Sudhakaran
This paper discusses about the development of beach cleaning bot. The paper focuses on two main aspects: conveyor belt mechanism and region monitoring system. In order to remove the waste from the sandy surface, we developed the conveyor belt mechanism. To identify the waste the bot was equipped with pi camera module this helps the bot to continuously monitor the sandy surface. Region monitoring is based on object detection (image processing) which is used to detect the waste and respond accordingly. For object detection process Tensorflow and OpenCV software are used.
本文对沙滩清扫机器人的研制进行了探讨。本文主要从输送带机构和区域监测系统两个方面进行了研究。为了清除沙质表面的废物,我们开发了输送带机构。为了识别废物,机器人配备了pi相机模块,这有助于机器人连续监测沙质表面。区域监控基于对象检测(图像处理),用于检测浪费并做出相应响应。在目标检测过程中使用了Tensorflow和OpenCV软件。
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引用次数: 5
Optimal placement and sizing of DSTATCOM using Ant lion optimization algorithm 用蚁狮优化算法优化DSTATCOM的布局和尺寸
C. Sakthi Gokul Rajan, K. Ravi
In this article, an effective and approach to discovering the optimal sizing and placement of DSTATCOM for reducing the system loss minimization discussed. The most effective Ant lion optimization (ALO) algorithm is applied in IEEE 33 Bus Radial Distribution System (RDS) to discover the optimal sizing and location of DSTATCOM. This proposed methods performance e over the existing convention methods in reducing the system real and reactive power loss is also discussed. Enhancement of system voltage profile is plotted.
本文讨论了一种有效的方法来发现DSTATCOM的最佳尺寸和位置,以减少系统损耗的最小化。将最有效的蚁狮优化(ALO)算法应用于IEEE 33总线径向分配系统(RDS)中,找出DSTATCOM的最佳尺寸和位置。并讨论了该方法在降低系统实功和无功损耗方面优于现有常规方法的性能。绘制了系统电压曲线的增强图。
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引用次数: 7
Modified Particle Swam Optimization based LVRT control strategy for grid connected WECS 基于改进粒子游优化的LVRT并网WECS控制策略
V. Sekhar, K. Ravi
Modified Particle Swam optimization (MPSO) based LVRT control strategy for grid connected WECS is proposed to improve the performance of converters coordination using intelligent controllers. Through this we can expect any facts controllers and external controller circuits like current limiters the coordination of the back-back converters coordination is improved. The intelligent controllers like Fuzzy logic permits creating definite selections supported inaccurate or ambiguous information and artificial neural network (ANN) tries to include the human thinking method to resolve issues while not mathematically model. Hybrid system with the combination of ANFIS and PSO is proposed in this paper optimize the objective function. The proposed hybrid control scheme will improve the performance of the WECS under LVRT conditions and it has been verified through MATLAB.
提出了一种基于改进粒子游优化(MPSO)的LVRT控制策略,用于并网WECS,利用智能控制器提高变流器协调性能。通过这种方法,我们可以预期任何事实控制器和外部控制器电路如限流器的协调都得到了改善。像模糊逻辑这样的智能控制器允许创建明确的选择,支持不准确或模糊的信息,人工神经网络(ANN)试图包括人类思维方法来解决问题,而不是数学模型。本文提出了一种结合ANFIS和粒子群算法的混合系统,对目标函数进行优化。所提出的混合控制方案能够提高低电压下wcs的性能,并通过MATLAB进行了验证。
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引用次数: 1
期刊
2019 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)
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