检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

368 篇 会议
47 篇 期刊文献

馆藏范围

415 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

154 篇 工学
- 109 篇 计算机科学与技术...
- 77 篇 软件工程
- 63 篇 电气工程
- 56 篇 控制科学与工程
- 25 篇 电子科学与技术（可...
- 24 篇 信息与通信工程
- 15 篇 动力工程及工程热...
- 11 篇 机械工程
- 9 篇 仪器科学与技术
- 6 篇 交通运输工程
- 6 篇 安全科学与工程
- 5 篇 生物医学工程（可授...
- 4 篇 生物工程
- 3 篇 光学工程
- 3 篇 土木工程
- 2 篇 力学（可授工学、理...
- 2 篇 船舶与海洋工程
- 2 篇 航空宇航科学与技...
65 篇 理学
- 52 篇 数学
- 8 篇 物理学
- 7 篇 统计学（可授理学、...
- 6 篇 生物学
- 3 篇 地球物理学
- 3 篇 系统科学
22 篇 管理学
- 20 篇 管理科学与工程(可...
- 9 篇 工商管理
- 2 篇 图书情报与档案管...
4 篇 法学
- 3 篇 社会学
2 篇 经济学
- 2 篇 应用经济学
2 篇 医学
- 2 篇 基础医学(可授医学...
1 篇 教育学

主题

85 篇 real time system...
70 篇 laboratories
55 篇 control systems
38 篇 power systems
37 篇 delay
32 篇 application soft...
30 篇 distributed comp...
28 篇 processor schedu...
27 篇 timing
25 篇 particle swarm o...
24 篇 hardware
23 篇 computer archite...
22 篇 neural networks
21 篇 intelligent netw...
20 篇 fault tolerance
20 篇 power system sim...
20 篇 protocols
19 篇 power system dyn...
18 篇 scheduling algor...
18 篇 bandwidth

机构

94 篇 real-time comput...
21 篇 real-time power ...
18 篇 real-time comput...
12 篇 school of electr...
10 篇 ieee
10 篇 real-time power ...
9 篇 real-time power ...
7 篇 real-time power ...
6 篇 department of el...
6 篇 school of electr...
5 篇 real time comput...
5 篇 real-time power ...
5 篇 university of kw...
5 篇 real-time power ...
5 篇 department of el...
5 篇 real-time comput...
5 篇 real-time comput...
4 篇 beijing key labo...
4 篇 university of kw...
4 篇 real-time power ...

作者

101 篇 k.g. shin
53 篇 ganesh k. venaya...
38 篇 shin kang g.
29 篇 venayagamoorthy ...
28 篇 g.k. venayagamoo...
27 篇 kang g. shin
22 篇 shin kg
13 篇 ganesh kumar ven...
11 篇 r.g. harley
9 篇 ronald g. harley
9 篇 g. k. venayagamo...
8 篇 f. jahanian
8 篇 wei qiao
7 篇 wang shige
7 篇 b. ravindran
6 篇 s. kodase
6 篇 rajan ratnakumar
6 篇 j. rexford
6 篇 ching-chih han
6 篇 s. mohagheghi

语言

400 篇 英文
10 篇 其他
5 篇 中文

检索条件"机构=Real-Time Computing Laboratory Department of Electrical Engineering and Computer"

共 415 条记录，以下是61-70 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Dynamic performance model of wind turbine generators

Dynamic performance model of wind turbine generators

引用

IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)

作者： Prajwal K. Gautam Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC USA

To characterize the power performance of wind turbine generators (WTGs), the International Electrotechnical Commission provides a power curve for each one based on ten minutes average. This approach causes the problem of systematic errors because of the nonlinear relationship between power and wind speed. In this paper, recurrent neural networks are introduced as an alternative approach to model this nonlinear relationship. Based on actual wind speed input and wind power output, an input-output relationship is established for a permanent magnet synchronous machine based wind power generator. Experimental studies are carried out to the develop power curve that characterize dynamic power performance of the wind turbine generator. These dynamic power performance models of wind turbine generators can be used as operational and planning models in control centers. Some preliminary results on the integration of a neural network wind generator model in a micro-grid simulation is presented.

关键词： Wind turbines Wind speed Wind power generation Generators Neural networks Testing

来源：评论

学校读者我要写书评

暂无评论

CNN based power system transient stability margin and voltage stability index prediction

CNN based power system transient stability margin and voltag...

引用

IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)

作者： Karthikeyan Balasubramaniam Ganesh Kumar Venayagamoorthy Neville Watson Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical & Computer Engineering Clemson University Clemson SC USA Department of Electrical Engineering University of Canterbury Christchurch New Zealand

Operators at electric grid control centers are faced with the task of making important decisions in real-time. With the plethora of data available it becomes important to extract information from the available data, based on which knowledge of system condition can be formed. This knowledge can then be used in decision making. Metrics such as transient stability margin (TSM) and voltage stability load index (VSLI) help in assessing the stability of the system. In this study, cellular neural network (CNN) based stability margin prediction system is developed in a distributed computing framework. The developed system not only extracts information from available data but also predicts the same, one step ahead of time. Moreover, the framework employed uses distributed computing and hence could be used on a large scale power system with a linear increase in computation time instead of an exponential increase. A reduced version of New Zealand's South Island power system is used as the test system to demonstrate the feasibility of CNNs for TSM and VSLI prediction.

关键词： Power system stability Generators Stability criteria Rotors Transient analysis

来源：评论

学校读者我要写书评

暂无评论

Power system controller design using multi-population PBIL

Power system controller design using multi-population PBIL

引用

IEEE Symposium on Computational Intelligence Applications In Smart Grid (CIASG)

作者： Komla Agbenyo Folly Ganesh Kumar Venayagamoorthy Department of Electrical Engineering University of Cape Town Cape Town South Africa Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical & Computer Engineering Clemson University SC USA

The application of a multi-population based Population-Based Incremental Learning (PBIL) to power system controller design is presented in this paper. PBIL is a combination of evolutionary optimization and competitive learning derived from artificial neural networks. Single population PBIL has recently received increasing attention in various engineering fields due to its effectiveness., easy implementation and robustness. Despite these strengths., PBIL still suffers from issues of loss of diversity in the population. The use of multi-population is seen as one way of increasing the diversity in the population. The approach is applied to power system controller design. Simulations results show that the multi-population PBIL approach performs better than the standard PBIL and is as effective as PBIL where adaptive learning is used.

关键词： Vectors Sociology Statistics Standards Power system stability Optimization Control systems

来源：评论

学校读者我要写书评

暂无评论

Cellular Neural Network Based Situational Awareness System for Power Grids

Cellular Neural Network Based Situational Awareness System f...

引用

International Joint Conference on Neural Networks

作者： Karthikeyan Balasubramaniam Ganesh Kumar Venayagamoorthy Neville Watson Real-Time Power and Intelligent Systems Laboratory Holcombe Dept. of Elect. and Computer Engg. Clemson University Clemson SC 29634 USA Department of Electrical Engineering University of Canterbury Christchurch New Zealand.

ISBN: (纸本)9781467361279

Situational awareness (SA) in simple terms is to understand the current state of the system and based on that understanding predict how system states are to evolve over time. Predictive modeling of power systems using conventional methods is time consuming and hence not well suited for real-time operation. In this study, neural network (NN) based non-linear predictor is used to predict states of power system for future time instance. Required control signals are computed based on predicted state variables and control set points. In order to reduce computation the problem is decoupled and solved in a cellular array of NNs. The cellular neural network (CNN) framework allows for accurate prediction with only minimal information exchange between neighboring predictors. The predicted states are then used in computing stability metrics that give proximity to point of instability. The situational awareness platform developed using CNN framework extracts information from data for the next time instance i.e. a step ahead of time and maps this data with geographical coordinates of power system components. The geographic information system (GIS) provides a visual indication of operating status of individual components as well as that of the entire system.

关键词： Power Grids SA NN Power grids Cellular neural networks situational awareness Awareness power systems State variable cellular arrays real time OPERATION geographical coordinates CONTROL SIGNAL

来源：评论

学校读者我要写书评

暂无评论

SmartParks for short term power flow control in smart grids

SmartParks for short term power flow control in smart grids

引用

2012 IEEE International Electric Vehicle Conference, IEVC 2012

作者： Venayagamoorthy, Ganesh Kumar Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University SC 29634 United States

ISBN: (纸本)9781467315623

Among other functions, the smart grid is a vehicle to maximize the penetration of wind power by exploiting the use of energy storage devices in order to maximize the utilization of renewable energy and bring about maximum reduction in emissions. Large number of electric vehicles in a parking lot enabled to carry out vehicle-to-grid (V2G) transactions has been termed as a 'SmartPark' by the author. The use of vehicle-to-grid technology, information technology and advanced computational methods can provide short term real and reactive power support to overcome the drawback of the intermittent nature of renewable sources of electricity. This paper presents the intelligent control of SmartParks to enhance a smart grid's capability to compensate and mitigate active and reactive power fluctuations caused by the variability in wind power penetration in selected transmission lines and network buses. © 2012 IEEE.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

A Scalable Wide Area Monitoring System using Cellular Neural Networks

A Scalable Wide Area Monitoring System using Cellular Neural...

引用

International Joint Conference on Neural Networks

作者： Karthikeyan Balasubramaniam Bipul Luitel Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781467314886

Synchrophasor systems make power grids more observable by collecting data from various locations, time-align and process them as a coherent data set. Better observability results in better control actions. A limiting factor to this approach is communication delays. Power system wide area communication delays range from several milliseconds to several seconds depending on the communication media and distance. One way to deal with this is to have an intelligent system which can predict state values for one or more time steps ahead of time. A novel four dimensional scalable multirate cellular neural network (CNN) architecture for use as wide area monitoring system (WAMS) is proposed. Recurrent neural network (RNN) is used as computational engine for each cell as RNNs have dynamic memory. By using information from phasor measurement units (PMUs) that are optimally located in a power system, each layer predicts a state variable for one or more time steps. Data from remote PMUs are replaced by the respective CNN cells' time delayed predicted state values for next time step. This enables local controllers to take real-time control action with system wide information. A 12-bus test power system is used to develop and demonstrate the effectiveness of the proposed CNN framework for WAMS.

关键词： Cellular neural networks Recurrent neural networks State estimation Synchrophasors Wide area monitoring and control Cellular neural networks Wide area measurement systems Communications Media Phasor measurement units recurrent neural nets area monitoring State variable power systems Dynamic storage local controller Power grids Intelligent systems Data Collection Methods Scalability MILLISECOND

来源：评论

学校读者我要写书评

暂无评论

SmartParks for short term power flow control in smart grids

SmartParks for short term power flow control in smart grids

引用

IEEE International Electric Vehicle Conference (IEVC)

作者： Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University SC USA

Among other functions, the smart grid is a vehicle to maximize the penetration of wind power by exploiting the use of energy storage devices in order to maximize the utilization of renewable energy and bring about maximum reduction in emissions. Large number of electric vehicles in a parking lot enabled to carry out vehicle-to-grid (V2G) transactions has been termed as a `SmartPark' by the author. The use of vehicle-to-grid technology, information technology and advanced computational methods can provide short term real and reactive power support to overcome the drawback of the intermittent nature of renewable sources of electricity. This paper presents the intelligent control of SmartParks to enhance a smart grid's capability to compensate and mitigate active and reactive power fluctuations caused by the variability in wind power penetration in selected transmission lines and network buses.

关键词： Wind power generation Wind farms Voltage control Smart grids Fluctuations Reactive power Power transmission lines

来源：评论

学校读者我要写书评

暂无评论

ARCHoN: Adaptive range control of hotzone cells in heterogeneous cellular networks

ARCHoN: Adaptive range control of hotzone cells in heterogen...

引用

IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Ji-Hoon Yun Kang G. Shin Department of Electrical Engineering and Information Technology Seoul National University of Science and Technology Seoul South Korea Real-Time Computing Laboratory EECS Department University of Michigan Ann Arbor MI USA

Heterogeneous networks (HetNets) are typified by cellular deployments with multiple types of cells of different sizes and overlapping coverage areas using a common frequency band. Especially, hotzone cells overlaid on a macrocell to cover hotspot areas are expected to prevail in HetNets, thus cost-effectively enhancing cellular capacity via spatial reuse of spectrum resource and offloading macrocells. In order to fully achieve such benefits, users need to be properly distributed/assigned to the overlaid hotzone cells such that the radio resources therein are fully utilized. To this end, we propose a new architecture called Adaptive Range Control of Hotzone Cells for Heterogeneous Networks (ARCHoN) that jointly controls the radio resource allocations and ranges of OFDMA-based hotzone cells. The use of cell ranges for distributing users in ARCHoN is advantageous in that it can be implemented within a conventional cell-selection framework without modifying user devices or an air interface. In ARCHoN, each cell allocates users radio (frequency, time and power) resources in a non-cooperative manner, deriving a sequence of allocations monotonically decreasing the entire load. For range control, two algorithms are proposed: per-cell and universal, which have a tradeoff between performance and computational complexity. The solution yielded by the combination of these radio resource and range control algorithms is analytically proven to converge to a unique fixed point. Our in-depth evaluation has shown ARCHoN to significantly improve the service quality of users; in an example simulation scenario, ARCHoN is shown to improve the signal-to-interference and noise ratios (SINRs) of users, on average, by up to 3.5 dB in downlink and 18.8 dB in uplink, over the case of the conventional handover framework.

关键词： Macrocell networks Resource management computer architecture Vectors OFDM Interference time frequency analysis

来源：评论

学校读者我要写书评

暂无评论

Optimization of Power System Stabilizer Parameters using Population-Based Incremental Learning

Optimization of Power System Stabilizer Parameters using Pop...

引用

IEEE Energy Conversion Congress and Exposition

作者： Komla A Folly Ganesh K. Venayagamoorthy Department of Electrical Engineering University of Cape Town South Africa Holcombe Dept. of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory Clemson University Clemson SC 29634 USA

ISBN: (纸本)9781467308021

Population-based incremental learning (PBIL) has been recently applied to a range of optimization problems in controller designs with promising results. It combines aspects of genetic algorithm with competitive learning. The learning rate in the standard PBIL is generally fixed which makes it difficult for the algorithm to explore the search space effectively. In this paper, the standard PBIL is improved by using a combination of adaptive and fixed learning rate that varies according to the generation. The adaptive-fixed (AF) algorithm can adjust the learning rate automatically according to the degree of evolution of the search. The objective of the power system stabilizer (PSS) design is to achieve adequate stability over a wide range of power system operating conditions. The proposed controller is compared with conventional PBIL with fixed learning rate (PBIL) and tested under various operating conditions. Simulation results show that the AFPBIL based PSS provides a more efficient search capability and gives a better damping and adequate dynamic performance of the system than the conventional PBIL based PSS.

关键词： PSS Population-Based PBIL

来源：评论

学校读者我要写书评

暂无评论

Efficient Sensing Matters a Lot for Large-Scale Batteries

Efficient Sensing Matters a Lot for Large-Scale Batteries

引用

IEEE/ACM International Conference on Cyber-Physical Systems (ICCPS)

作者： Hahnsang Kim Kang G. Shin Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI USA

A large-scale battery pack that consists of hundreds or thousands of battery cells must be carefully monitored. Due to the divergence of cell characteristics, every cell should be monitored periodically and accurately. There are two important issues in monitoring large-scale packs. First, sensing the health condition of battery cells must be timely to capture the turning point at which the battery condition abruptly changes. Failure to capture such an important event can cause irreversible damage to the battery, especially when its State-of-Charge (SoC) is very low. Second, the more the hardware components are used, the higher the failure rate the system will suffer. The frequency of monitoring battery cells, thus, should be adjustable to the underlying load demand, considering the fact that a low load demand has a minute impact on the battery condition. We propose to address these issues via an adaptive monitoring architecture, called ADMON. ADMON lowers the sensing latency effectively, making it effective to enhance the tolerance of physical cell failures. ADMON consists of sensing, path-switching, and computing systems. The sensing system collects data from a battery-cell array. The path-switching system effectively connects a specific sensor and a micro-controller that is part of the computing system. The path-switching system is characterized by three exclusive types of topology: n-tree-based, cascaded, and parallel. The computing system is synergistically combined with the other two systems while three policies specified in the computing system are applied. The ADMON architecture is shown to outperform a non-adaptive monitoring system with respect to the battery life by 67%.

关键词： Batteries Monitoring Topology Sensors Arrays Voltage measurement

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共42页 << < 3 4 5 6 7 8 9 10 11 12 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：