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

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Machine Learning based Algorithms for Empowering Performance of the Students using Radio Frequency Identification. 基于机器学习的无线射频识别增强学生表现的算法。
P. Arulmozhi, P. Raj
The use of RFID has been very prominent in the recent times. Not just as a part of identification in professional world, it has been a common entity with students for monitoring their attendance in universities. The data captured through RFID module are being used for predictive analysis. It has been a major development in the field of data analytics and cognitive thinking. However, though the deployment has been widespread, the results and its precision are achievable only if reliable machine learning algorithms are used. A lot of challenges are encountered, while trying to extract the data from the RFID tag. Few of them include, the size of the chip, its amalgamation with biometric to make the data secured. In this project, the datasets that are extracted from RFID tag which also includes an extra level of authentication in the form of one factor and two factors are sent to cloud server where a series of algorithms are used to get the possible results. The average values computed through mathematical formulae are now compared with the results produced by artificial intelligence an algorithm which in turn gives us the precision involved in the process.
近年来,RFID的使用已经非常突出。它不仅是职业身份的一部分,也是学生在大学里监控出勤率的一种常见手段。通过RFID模块捕获的数据被用于预测分析。它是数据分析和认知思维领域的一个重大发展。然而,尽管部署已经广泛,但只有在使用可靠的机器学习算法的情况下,才能实现结果和精度。在试图从RFID标签中提取数据时遇到了很多挑战。其中很少包括芯片的大小,它与生物识别技术的结合,以确保数据的安全。在这个项目中,从RFID标签中提取的数据集还包括一个额外的认证级别,以一因素和两因素的形式发送到云服务器,在云服务器中使用一系列算法来获得可能的结果。通过数学公式计算的平均值现在与人工智能算法产生的结果进行比较,人工智能算法反过来又给我们提供了过程中涉及的精度。
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引用次数: 0
Optimal Design and Energy Management for Hybrid Wind-Solar PV based Renewable Energy System with Battery Storage: A Review 基于电池储能的风能-太阳能光伏混合可再生能源系统优化设计与能量管理综述
D. Srinivas, K. Ramesh, V. Ganesh
Renewable energy sources are the alternative sources for electrical power generation which have been available since many years ago. Due to intermittent nature of renewable energy systems when installed independently these renewable energy sources are not that much reliable which in turn failed to meet load demand. The combined operation of any two alternative sources of energy namely wind energy based system and solar photovoltaic system can meet the energy demand as these systems are having great potential when compared with other energy sources. Hybrid renewable energy system along with battery has scope of enhancing system reliability, availability of power, quality of power supply and also system operational efficiency. The operation of renewable energy systems in ON grid mode and OFF grid mode may result in different power quality related problems such as voltage variations, power frequency variations and harmonics which have severe impact during unfavorable conditions in the grid. Hybrid renewable energy system encounters several technical challenges which require a broad research in several areas like system configurations, energy management, battery charging/discharging management, power electronics topologies and control strategies. The objective of this paper is to report a review of a research carried and various conclusions which are presented in the literature on hybrid renewable energy system based on wind energy – solar PV system along with battery regarding the configuration of the system, energy management, battery charging/discharging management, various topologies of power electronics and different control strategies. This article discusses about the scope of future developments and further research on hybrid renewable energy systems.
可再生能源是发电的替代能源,许多年前就已经可用了。由于可再生能源系统的间歇性,当独立安装时,这些可再生能源不是那么可靠,从而无法满足负荷需求。任何两种替代能源即风能系统和太阳能光伏系统的联合运行都可以满足能源需求,因为这些系统与其他能源相比具有很大的潜力。混合可再生能源系统与电池相结合,具有提高系统可靠性、电力可用性、供电质量和系统运行效率的作用。可再生能源系统在并网模式和离网模式下运行,会产生电压变化、工频变化和谐波等不同的电能质量相关问题,在电网的不利条件下会产生严重的影响。混合可再生能源系统面临着许多技术挑战,需要在系统配置、能源管理、电池充放电管理、电力电子拓扑和控制策略等多个领域进行广泛的研究。本文的目的是回顾一项基于风能-太阳能光伏系统和电池的混合可再生能源系统的研究和文献中提出的各种结论,包括系统配置、能量管理、电池充电/放电管理、各种电力电子拓扑和不同的控制策略。本文讨论了混合可再生能源系统的未来发展和进一步研究的范围。
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引用次数: 2
Task Scheduling In Cloud Environment Using Enhanced Resource Monitor And Scheduler Algorithm 基于增强资源监控和调度算法的云环境任务调度
V. Seethalakshmi, V. Govindasamy, V. Akila, N. Saradha, J.Hari haran, G. Vigneshwaran
Cloud Computing is a concept for virtualized resources. It is a technology which delivers plenty of services to service users through internet. It takes users request as input and delivers the service in good manner. Cloud computing manages the numerous variety of virtualized resources and user request which makes scheduling an important one in order to manage it effectively. For every task thousands of virtualized assets are used. Task scheduling in cloud computing is the process of organizing the user task and allocating it with the suitable and available resources so that the available resources will be properly used and scheduling will be done effectively. There are numerous task scheduling techniques. This paper presents an alternative approach to task scheduling problem. It mainly focused on the time utilization and resource monitoring. The proposed method is Enhanced Resource Monitor and Scheduler (ERMS) which focus on both monitoring of available resources and scheduling of user task.Periodic push action method is used to get the status of virtual machine. The fitness value is calculated and scheduling is done. The process is implemented using ClouldSim 3.0 Simulator in NetBeans IDE.
云计算是虚拟化资源的概念。它是一种通过互联网向服务用户提供大量服务的技术。它将用户的请求作为输入,并以良好的方式提供服务。云计算管理着各种各样的虚拟资源和用户请求,这使得调度成为有效管理的一个重要方面。对于每个任务,都要使用数千个虚拟资产。云计算中的任务调度是对用户任务进行组织,并为其分配合适的、可用的资源,使可用的资源得到合理的利用,从而有效地完成调度的过程。有许多任务调度技术。本文提出了一种解决任务调度问题的方法。它主要关注时间利用和资源监控。提出的方法是增强型资源监视器和调度程序(Enhanced Resource Monitor and Scheduler, ERMS),它既关注可用资源的监视,又关注用户任务的调度。采用周期推送动作法获取虚拟机状态。计算适应度值并进行调度。该过程是使用NetBeans IDE中的ClouldSim 3.0模拟器实现的。
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引用次数: 0
ICCPEIC 2019 Copyright Page icecpeic 2019版权页面
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引用次数: 0
Robust Evolutionary Technique Based On Gravitational Search Algorithm for Dynamically Tuning Controller Parameters of SVC for Transient Stability Enhancement 基于引力搜索算法的SVC控制器参数动态整定增强暂态稳定性鲁棒进化技术
S. Choudhury, Anshuman Satpathy, P. Rout, Debasish Pradhan, Saurav Bhakat, Tara Prasanna Dash
With the advent of modernization, the demand for electricity is increasing exponentially. Low frequency electromechanical oscillations have posed a major challenge to the power transfer capabilities and stability of modern power system. For the effective mitigation of these electromechanical oscillations, a coordinated design of Power System Stabilizer (PSS) and Static Var Compensator (SVC) is proposed for a two machine system, with the application of a novel optimization technique called Gravitational Search Algorithm (GSA).PSS helps in the effective damping of electromechanical oscillations and enhancement of transient stability. However, at times only use of PSS in long transmission lines is not enough. FACTS devices is a recent technology that is being used extensively to improve controllability in power flow. Unified use of PSS along with a unique Flexible AC Transmission System (FACTS) device named SVC can result in improvement in reliability, controllability and reduction of power system oscillations thus further improving the system stability. Furthermore the PID controller of PSS is tuned dynamically using a global search technique called Gravitational Search Algorithm (GSA) for the system to respond effectively to non linearities present in power system. The results show the robustness and the flexibility of the new GSA based PID controller over a wide range of faults by effectively reducing oscillations. The system stability is improved to a great extent in terms of rise time, settling time and peak overshoot. Furthermore the GSA optimized PID controller gives much minimized THD as compared to conventional PID. For the justification and validation of the GSA technique in attaining enhanced stability, the two machine system is introduced with single phase triple L-G fault. The conventional PID based PSS simulation results are compared with GSA optimized PID based PSS simulation results using MATLAB.
随着现代化的到来,对电力的需求呈指数级增长。低频机电振荡对现代电力系统的输电能力和稳定性提出了重大挑战。为了有效地缓解这些机电振荡,提出了一种针对两机系统的电力系统稳定器(PSS)和静态无功补偿器(SVC)的协调设计,并应用了一种新的优化技术——引力搜索算法(GSA)。PSS有助于有效地阻尼机电振荡,提高暂态稳定性。然而,有时仅在长传输线中使用PSS是不够的。FACTS器件是一项新技术,被广泛用于提高潮流的可控性。统一使用PSS和一种名为SVC的独特的柔性交流输电系统(FACTS)设备,可以提高电力系统的可靠性、可控性和减少振荡,从而进一步提高系统的稳定性。此外,采用引力搜索算法(GSA)对PSS的PID控制器进行动态调谐,使系统能够有效地响应电力系统中的非线性问题。结果表明,基于GSA的PID控制器在大故障范围内具有鲁棒性和灵活性,有效地降低了系统的振荡。在上升时间、稳定时间和峰值超调方面,系统的稳定性得到了很大的提高。此外,与传统PID相比,GSA优化PID控制器的THD最小。为了证明和验证GSA技术在提高稳定性方面的作用,介绍了具有单相三重L-G故障的两机系统。利用MATLAB对基于传统PID的PSS仿真结果与基于GSA优化PID的PSS仿真结果进行了比较。
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引用次数: 1
Reactive Power control of Grid Connected WECS with Levy flight Grey Wolf Optimizer Algorithm by UPFC 基于UPFC的Levy飞行灰狼优化算法的并网WECS无功控制
P. Rajivgandhi, J. Baskaran, S. A. Elankurisil
One of the basic works of transmission networks work is to stabilize the reactive power inside a utility grid fed to an energy system. By growing methodologies in the wind storage, wind connected turbines has to involve in the reactive power generation through peak level in addition to transient circumstances. This work produces the effects of UPFC controlling on the strength of power systems fed with the wind energy systems. To ensure the efficiency of UPFC on the regulation of wind resource utility grid system, the component tuning of UPFC compensators is an important issue in the regularization is sampled. In this work, at basic, DFIG system is explained. After them, UPFC connected system and its usages in electric systems and wind plants are explained. Therefore, the Levy flight gray wolf optimizer technique is clarified for compensating the UPFC network. Lastly, compensation techniques for real and reactive power are also explained. The outcome of the installation of every control technique is explained by simulation. Simulation analysis are taken out in Mat lab/Simulink and the outputs explained with performance of the proposed compensator
输电网工作的基本工作之一是稳定输电网内的无功功率。随着风力发电方法的不断发展,风力发电机组除了在瞬态情况下,还必须在峰值水平上参与无功发电。这项工作产生了UPFC控制对风能系统供电的电力系统强度的影响。为了保证UPFC对风资源公用电网系统的有效调节,对UPFC补偿器的分量整定问题进行了采样。本文对DFIG系统进行了基本的阐述。接着介绍了UPFC连接系统及其在电力系统和风电场中的应用。因此,明确了Levy飞行灰狼优化技术对UPFC网络进行补偿。最后,介绍了实功率和无功功率的补偿技术。通过仿真说明了各种控制技术的安装效果。在Mat lab/Simulink中进行了仿真分析,并用所提出的补偿器的性能对输出进行了解释
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引用次数: 0
ICCPEIC 2019 Index
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引用次数: 0
Forward Clearing of Energy Market for Wind Incorporated Power System 风电并网系统能源市场远期结算
Akanksha Sharma, S. Jain
In this paper the forward market clearing of wind integrated power system considering the randomness in wind power generation is presented. The intermittent nature of wind power is characterized by Weibull probability density function (PDF). The aim is to minimize the cost of energy supplied by thermal and wind generators. The cost of energy also incorporates overestimation and underestimation cost of available wind power. Gravitational search algorithm (GSA) based scheduling is utilized for the market clearing purpose. The results have been obtained on IEEE 30-bus and IEEE 57-bus test systems to investigate the effectiveness of the presented algorithm for optimal scheduling.
本文提出了考虑风力发电随机性的风力发电系统远期市场出清问题。风电的间歇性特性用威布尔概率密度函数(PDF)表征。其目的是将热能和风力发电机提供的能源成本降至最低。能源成本还包括对可用风力发电成本的高估和低估。将基于引力搜索算法(GSA)的调度用于市场出清目的。在ieee30总线和ieee57总线测试系统上进行了实验,验证了该算法在优化调度方面的有效性。
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引用次数: 0
Development of Bi-directional energy meter for a grid-connected PV system with power quality improvement using D-STATCOM 利用D-STATCOM改善并网光伏系统电能质量的双向电能表研制
M. A. Patil, Prof. Yogini Bhosale
Solar energy is available abundant in nature and it is free from pollution. As the system is a noiseless solar photovoltaic system (PV) is the best solution at residential levels but the main drawback of solar energy is unreliability. It is important to give a reliable supply of power quality. In the case of OFF-grid solar system, storage batteries are required in order to have a reliable supply, it improves the total cost of the system. In ON-grid solar system, the demand can be assured by solar energy and energy can be drawn from the grid. In such framework surplus power is provided to the grid, and that sent out power must be accounted for. The energy meter has to records exported power from consumer to grid and imported power from grid to consumer load. In this paper grid-connected solar PV system having bidirectional energy meter with power quality improvement by DSTATCOM is proposed. The work is divided into two modes: 1. DSTATCOM mode: In this mode, some of the produced solar energy is used for the operation of DSTATCOM. The simulation was carried out using MATLAB software. The results clearly shows DSTATCOM works properly on voltage sag. 2. NET-METERING mode: In this mode, the energy meter monitors the distinction between imported power from network and surplus or sent out power to the network. The proposed meter consists of a voltage and a current measurement circuit that measured the instantaneous voltage and current. The raspberry pi acts as a processing unit and to display the energy at regular intervals, the LCD display is used.
自然界中太阳能资源丰富,而且无污染。由于该系统是一种无噪音太阳能光伏系统(PV),是住宅级的最佳解决方案,但太阳能的主要缺点是不可靠。提供可靠的供电质量是很重要的。在离网太阳能系统中,为了有一个可靠的供电,需要蓄电池,这提高了系统的总成本。在并网太阳能系统中,太阳能可以保证用电需求,而能源可以从电网中获取。在这样的框架中,多余的电力被提供给电网,而输出的电力必须被计算在内。电能表必须记录用户向电网输出的电力和从电网向用户负载输入的电力。本文提出了采用DSTATCOM改进电能质量的双向电能表并网太阳能光伏发电系统。工作分为两种模式:1。DSTATCOM模式:在这种模式下,部分产生的太阳能用于DSTATCOM的运行。利用MATLAB软件进行仿真。结果表明,DSTATCOM在电压暂降情况下工作正常。2. NET-METERING模式:在此模式下,电能表监测电网输入电量与电网剩余或输出电量的区别。所提出的仪表由电压和电流测量电路组成,测量瞬时电压和电流。树莓派作为一个处理单元,并定期显示能量,LCD显示器被使用。
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引用次数: 1
ICCPEIC 2019 Office Bearers icecpeic 2019办公室主任
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引用次数: 0
期刊
2019 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC)
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