检索结果-内蒙古大学图书馆

International Joint Conference on Neural Networks

作者： Iroshani Jayawardene Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781509061839

Frequency is one of the most important characteristics in power system monitoring, control and protection. Frequency variations can be observed with significant changes in operating conditions. High penetration levels of renewable energy pose variability and uncertainty challenges for grid operation. It is essential to have innovative methodologies to take necessary actions to overcome these challenges. Power system frequency prediction provides an insight to better system control and protection. In this paper, a cellular computational extreme learning machine network (CCELMN) based frequency prediction approach is presented. Results are compared with those obtained with independent ELM models and persistence model and shown to outperform.

关键词： Cellular computational extreme machine learning network Frequency Prediction Power system Renewable energy

来源：评论

学校读者我要写书评

暂无评论

Influencing behavior of electricity consumers to enhance participation in demand response

Influencing behavior of electricity consumers to enhance par...

引用

2017 North American Power Symposium, NAPS 2017

作者： Ballenger, Anna P. Herath, Pramod Caceres, Maria Navarro Venayagamoorthy, Ganesh K. Corchado, Juan Manuel Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States School of Engineering University of Kwazulu-Natal Durban South Africa University of Salamanca c/Espejo s/n Salamanca37007 Spain

ISBN: (纸本)9781538626993

Demand response (DR) provides an opportunity for consumers to change their electricity usage during peak periods by applying time-based rates or other forms of financial incentives. Currently the majority of DR resources are based on commercial loads in which substantial amounts of DR resources for residential purposes are wasted. Despite the multiple advantages of demand response to such residential customers, they are often reluctant to participate in such programs because of privacy concerns or because they are unaware of time-based rates. In this study, a customer dashboard was developed to enhance and persuade customers to participate in demand response programs. The online dashboard was used to increase awareness of all customer types, which is essential for ensuring a significant increase of DR participants. Incorporating flexibility, ease-of-use, and rewards programs will attract customers to use the dashboard thus expanding customer awareness to consciously or subconsciously change energy consumption behaviors. Making such cultural changes in customer behaviors leads to a long term solution for participation in demand response programs. With enhanced DR participation a sustainable power system operation and environment can be realized. © 2017 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

Transformative role of photovoltaics in phasing out alternating current based grid by local DC power networks for sustainable global economic growth 44

Transformative role of photovoltaics in phasing out alternat...

引用

44th IEEE Photovoltaic Specialist Conference, PVSC 2017

作者： Singh, Rajendra Asif, Amir A. Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

ISBN: (纸本)9781509056057

For sustainable global economic growth, eradication of global energy poverty and addressing climate challenges, free fuel based solar and wind energy sources are the only viable solution for electricity generation. Due to inherent advantages, photovoltaics has emerged as the major source of electrical power. Local generation of direct current (DC) power by PV and the use of batteries for storing DC electrical power have the potential of transforming global electricity infrastructure to address the problems faced by alternating current (AC) based centralized power generation and long haul transmission and distribution. © 2017 IEEE.

关键词： Electric power transmission networks

来源：评论

学校读者我要写书评

暂无评论

Stealthy malware traffic - not as innocent as it looks

arXiv

引用

arXiv 2017年

作者： Zhong, Xingsi Fu, Yu Yu, Lu Brooks, Richard Kumar Venayagamoorthy, G. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States

Malware is constantly evolving. Although existing countermeasures have success in malware detection, corresponding counter-countermeasures are always emerging. In this study, a counter-countermeasure that avoids network-based detection approaches by camouflaging malicious traffic as an innocuous protocol is presented. The approach includes two steps: Traffic format transformation and side-channel massage (SCM). Format-transforming encryption (FTE) translates protocol syntax to mimic another innocuous protocol while SCM obscures traffic side-channels. The proposed approach is illustrated by transforming Zeus botnet (Zbot) Command and Control (C&C) traffic into smart grid Phasor Measurement Unit (PMU) data. The experimental results show that the transformed traffic is identified by Wireshark as synchrophasor protocol, and the transformed protocol fools current side-channel attacks. Moreover, it is shown that a real smart grid Phasor Data Concentrator (PDC) accepts the false PMU data. Copyright © 2017, The Authors. All rights reserved.

关键词： Phasor measurement units

来源：评论

学校读者我要写书评

暂无评论

An information infrastructure framework for smart grids leveraging SDN and cloud

An information infrastructure framework for smart grids leve...

引用

Clemson University Power Systems Conference, PSC 2016

作者： Narayanan, Rajesh Xu, Ke Wang, Kuang-Ching Kumar Venayagamoorthy, G. Dell Research Santa ClaraCA United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University SC United States

ISBN: (纸本)9781509006878

Smart grids are recognized as the next-generation power grid that uses digital information and communications technology to create an advanced, automated, and efficient energy network among a wealth of electronic appliances, meters, and energy producing and distributing devices. As more complex and distributed interactions among these different components are envisioned, an open, scalable, and manageable framework is needed to support the communication and computing needs. This paper proposes an innovative method to derive scalable information infrastructure for smart grids. The framework well aligns with the emerging micro-grid operational model of the smart grid. A prototype framework is being developed consisting of CloudLab [1], GENI [2] wired and wireless networks, and real-time power system platform at the RTPIS Lab [3]. © 2016 IEEE.

关键词： Smart power grids

来源：评论

学校读者我要写书评

暂无评论

Dynamic performance enhancement of a utility-scale solar PV plant

Dynamic performance enhancement of a utility-scale solar PV ...

引用

2016 IEEE PES PowerAfrica Conference, PowerAfrica 2016

作者： Arzani, Ali Arunagirinathan, Paranietharan Jayawardene, Iroshani Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Eskom Centre of Excellence in HVDC Engineering University of KwaZulu-Natal Durban South Africa

ISBN: (纸本)9781467399814

Recent studies on Power Electronic Interfaces (PEI) demonstrate that enhanced performance of a PEI can be achieved through optimal tuning of its controller parameters. As an example nowadays, voltage source converters (VSC) are extensively utilized as the interface between DC energy sources and the power system. Photovoltaic (PV) inverters have emerged as one of the most indispensable and widely utilized components in smart grid operations. Considering the complexity, costliness, and possible ineffectuality of PEI conventional manual tuning processes, an automated controller self-tuning approach has been proposed through harnessing the capabilities of particle swarm optimization (PSO), a heuristic optimization method. The multi-megawatt solar PV-plant has been connected to a benchmark two-area four-machine power system. The entire system is simulated using a real-time digital simulator (RTDS). The solar PV plant enhanced performance in conjunction to both improved steady-state and dynamic operation of each of its voltage source inverters (PV-VSI) concludes the effectiveness and benefits of the proposed tuning approach. This enables smoother renewable energy integration, reliable delivery of energy at a lower cost, and further reduced carbon footprints worldwide. © 2016 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

A Lite Cellular Generalized Neuron Network for Frequency Prediction of Synchronous Generators in a Multimachine Power System

A Lite Cellular Generalized Neuron Network for Frequency Pre...

引用

International Joint Conference on Neural Networks

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

ISBN: (纸本)9781509006212

Power system protection and emergency control systems require continuous monitoring to prevent grid-wide frequency instability or system islanding. Amongst different methods, cellular computation networks (CCNs) are more suitable for providing dynamic frequency predictions. CCN is a scalable and distributed framework using the concept of cells and intercellular connections to represent a power system topology with multiple synchronous machines, transmission lines and loads. However, from a practical viewpoint, fast computing algorithms are needed for effective monitoring and response. In this paper, a lite CCN is proposed based on generalized neurons (GNs), referred to as the cellular generalized neuron network (CGNN). The performance of CGNN is compared with that of a cellular multilayer perceptron network (CMLPN). The frequency predictions by the CGNN and CMLPN have been validated on a two-area four-machine benchmark power system. Data for the CGNN is provided from a real time digital simulation of the power system with phasor measurement units (PMUs). Based on a performance metric, results obtained show that the CGNN outperforms the CMLPN, especially in terms of least number of trainable parameters, low training time and better prediction accuracy.

关键词： Cellular computational network Frequency prediction Generalized neuron Particle swarm optimization Power systems Synchronous generators

来源：评论

学校读者我要写书评

暂无评论

Pattern Recognition for Electric Energy Consumption Prediction in a laboratory Environment

Pattern Recognition for Electric Energy Consumption Predicti...

引用

IEEE Symposium Series on Computational Intelligence

作者： Guneet Bedi Ganesh Kumar Venayagamoorthy Rajendra Singh Holcombe Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory School of Engineering University of Kwazulu-Natal Durban south Africa Department of Automotive Engineering Clemson University Clemson SC USA

Particle Swarm Optimization (PSO), a computational intelligence (CI) technique, is applied in a laboratory environment to recognize existence of a pattern between the net energy consumption by the electric loads in the building and the ambient temperature along with the occupancy state of the building;and use the detected pattern to predict energy consumption in the near-future. The electric loads under consideration include lighting and heating, ventilation and air conditioning (HVAC) units with intelligent monitoring and control capabilities using internet of things (IoT) devices and technologies. Having this prediction capability is extremely useful to ensure sufficient energy is generated to meet the demands of the electric loads at any time. This, in turn, reduces energy waste due to excess generation.

关键词： Computational intelligence Electric energy consumption prediction Internet of things Particle swarm optimization

来源：评论

学校读者我要写书评

暂无评论

Invisible sensing of vehicle steering with smartphones 15

Invisible sensing of vehicle steering with smartphones

引用

13th Annual International Conference on Mobile Systems, Applications, and Services, MobiSys 2015

作者： Chen, Dongyao Cho, Kyong-Tak Han, Sihui Jin, Zhizhuo Shin, Kang G. Real-Time Computing Laboratory Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States

ISBN: (纸本)9781450334945

Detecting how a vehicle is steered and then alarming drivers in real time is of utmost importance to the vehicle and the driver's safety, since fatal accidents are often caused by dangerous steering. Existing solutions for detecting dangerous maneuvers are implemented either in only high-end vehicles or on smartphones as mobile applications. However, most of them rely on the use of cameras, the performance of which is seriously constrained by their high visibility requirement. Moreover, such an over/sole-reliance on the use of cameras can be a distraction to the driver. To alleviate these problems, we develop a vehicle steering detection middleware called V-Sense which can run on commodity smartphones without additional sensors or infrastructure support. Instead of using cameras, the core of V-Sense senses a vehicle's steering by only utilizing non- vision sensors on the smartphone. We design and evaluate algorithms for detecting and di erentiating various vehicle maneuvers, including lane-changes, turns, and driving on curvy roads. Since V-Sense does not rely on use of cameras, its detection of vehicle steering is not a ected by the (in)visibility of road objects or other vehicles. We first detail the design, implementation and evaluation of V-Sense and then demonstrate its practicality with two prevalent use cases: camera-free steering detection and fine-grained lane guidance. Our extensive evaluation results show that V- Sense is accurate in determining and di erentiating various steering maneuvers, and is thus useful for a wide range of safety-assistance applications without additional sensors or infrastructure. Copyright © 2015 ACM.

关键词： Smartphones

来源：评论

学校读者我要写书评

暂无评论

Optimal tuning of governors on synchronous generators in a multi-area power system with a large photovoltaic plant

Optimal tuning of governors on synchronous generators in a m...

引用

IEEE Power engineering Society Conference and Exposition in Africa, PowerAfrica

作者： Steven Rosen Paranietharan Arunagirinathan Iroshani Jayawardene Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University Clemson SC USA Eskom Centre of Excellence in HVDC Engineering University of KwaZulu-Natal Durban South Africa

The integration of renewables, such as solar and wind power, introduces new challenges for existing multi-area power system operations. These variable generation sources are transforming the grid into a more dynamic system which significantly affects real-time operation. With dynamic generation, supply and demand will deviate frequently over time causing severe frequency fluctuations. The generators on the grid must respond rapidly to these fluctuations in order to stabilize the system and ultimately return to nominal frequency. In this paper, a 210 MW photovoltaic (PV) plant is integrated into a two-area four-machine power system. Due to the output variations of the PV plant, especially during cloudy conditions, the system frequency will significantly fluctuate. The objective of this paper is the optimal tuning of governors on synchronous generators in order to damp and mitigate frequency deviations as fast as possible. The governor parameters are tuned using a heuristic optimization method to provide the least number of frequency events and minimum frequency deviation with varying penetration levels of PV power. With optimally tuned governor parameters, a multi-area power system can operate reliably while maximizing the utilization of clean power generation sources.

关键词： Generators Tuning Power system stability time-frequency analysis real-time systems Automatic generation control

来源：评论

学校读者我要写书评

暂无评论

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：

请选择收藏分类：

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

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：