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Clemson University Power systems Conference (PSC)

作者： Lili Wu Ganesh K. Venayagamoorthy Ronald G. Harley Jinfeng Gao Real-Time Power and Intelligent Systems Laboratory Clemson University Clemson SC 29634 USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta USA School of Electrical Engineering Zhengzhou University Zhengzhou China

ISBN: (纸本)9781728103174;9781728103167

Contingency ranking in simple terms is a process deployed to select the most serious contingencies that happen to the power system in the event of unplanned component outages or topological changes. In this study, Cellular Jordan Recurrent Networks (CJRNs) based non-linear voltage prediction is used for contingency ranking. The CJRNs based predicted voltages are used in computing performance indices that give proximity to voltage collapse severity of contingencies. The problem is solved combining with concentric relaxation method to reduce computation time. In order to show the advantages of the proposed CJRNs method, single line contingency ranking is tested by CJRNs voltage prediction model trained by different time steps. A novel voltage prediction correction mechanism which is applied after the prediction process shows to be effective for all time steps based contingency ranking.

关键词： Power systems Training Generators Performance analysis Voltage measurement Predictive models Databases

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Using Coalition Games for QoS Aware Scheduling in mmWave WPANs

Using Coalition Games for QoS Aware Scheduling in mmWave WPA...

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IEEE Vehicular Technology Conference

作者： Yali Chen Yong Niu Bo Ai Zhangdui Zhong Dapeng (Oliver) Wu Kai Li School of Electronic and Information Engineering of Beijing Jiaotong University Beijing China Department of Electrical and Computer Engineering University of Florida Gainesville FL USA Real-Time and Embedded Computing Systems Research Centre (CISTER) Porto Portugal

With the increasing quality of service (QoS) demands for indoor multimedia applications, millimeter wave (mmWave) communications are emerging as a promising candidate for the wireless personal area networks (WPANs). On the one hand, it has the advantage of providing several-Gbps transmission rate. However, due to the unique characteristics in 60-GHz frequency band, such as high propagation loss, beamforming is fully exploited for mmWave links to achieve directional transmission and reception. In this paper, we propose a novel QoS aware scheduling algorithm for concurrent transmission in mmWave WPANs based on coalition game. First, we formulate the problem of concurrent transmission scheduling into a non-convex integer programming problem. Then, we propose a coalition game based algorithm to maximize the number of flows satisfying the corresponding QoS requirements, while improving the network resource utilization effectively. Besides, our proposed algorithm converges to a Nash-stable equilibrium with greatly reduced complexity. Through extensive simulations under various system parameters, we demonstrate our scheme achieves better network performance in terms of the throughput and the number of flows scheduled successfully, compared with existed protocols.

关键词： Quality of service Interference Games Wireless personal area networks Resource management Scheduling algorithms Transmitters

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The virtual lover： variable and easily guided 3D fish animations as an innovative tool inmate-choice experiments with sailfin mollies-I,Design and implementation

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Current Zoology 2017年第1期63卷 55-64页

作者： Klaus MuLLER Jevgen SMIELIK Jan-Marco HOTWOHL Stefanie GIERSZEWSKI Klaudia WITTE Klaus-Dieter KUHNERT Department of Electrical Engineering & Computer Science Institute of Real-Time Learning Systems University of Siegen HSIderlinstraBe 3 Siegen 57076 Germany Research Group of Ecology and Behavioral Biology Institute of Biology University of Siegen Adolf-Reichwein-Stral~e 2 Siegen 57068 Germany

Animal behavior researchers often face problems regarding standardization and reproducibility oftheir experiments. This has led to the partial substitution of live animals with artificial virtual stim-uli. In addition to standardization and reproducibility, virtual stimuli open new options for re-searchers since they are easily changeable in morphology and appearance, and their behavior canbe defined. In this article, a novel toolchain to conduct behavior experiments with fish is presentedby a case study in sailfin mollies Poecilia latipinna. As the toolchain holds many different and novelfeatures, it offers new possibilities for studies in behavioral animal research and promotes thestandardization of experiments. The presented method includes options to design, animate, andpresent virtual stimuli to live fish. The designing tool offers an easy and user-friendly way to definesize, coloration, and morphology of stimuli and moreover it is able to configure virtual stimuli ran-domly without any user influence. Furthermore, the toolchain brings a novel method to animatestimuli in a semiautomatic way with the help of a game controller. These created swimming pathscan be applied to different stimuli in real time. A presentation tool combines models and swim-ming paths regarding formerly defined playlists, and presents the stimuli onto 2 *** with live sailfin mollies validated the usage of the created virtual 3D fish models inmate-choice experiments.

关键词： computer animation, fish behavior, mate-choice experiment, research tool, virtual fish model.

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Cellular Computational Extreme Learning Machine Network Based Frequency Predictions in a Power System

Cellular Computational Extreme Learning Machine Network Base...

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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

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Situational awareness in an electric utility's control center of its generators' damping capabilities

Situational awareness in an electric utility's control cente...

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2017 IEEE Power and Energy Society Innovative Smart Grid Technologies Conference, ISGT 2017

作者： Arunagirinathan, Paranietharan Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Lab. Holcombe Department of Electrical and Computer Engineering Clemson University SC29634 United States Eskom Centre of Excellent in HVDC Engeneering University of Kwazulu Natal Duraban South Africa

ISBN: (纸本)9781538628904

Poorly damped low frequency oscillations in power systems have led to system blackouts in the past. Power system stabilizers (PSSs) are installed to improve synchronous generator's oscillation damping capabilities. PSS parameter tuning by various traditional and new optimization methods are studied to ensure stable and secure operation of interconnected power systems with uncertainties. It is imperative to evaluate the tuned PSSs with the different methods to ensure continued security of a power system during operation. There is a lack of such situational awareness at electric utility control centers to assist system operators with the knowledge of synchronous generator's oscillation damping capabilities. Since the human brain responses to images and colors faster compared to text and numbers, it is desirable to develop advanced visualizations and avail them to system operators. These visualizations could utilize real-time data from phasor measurement units. This paper presents the development of a new tool for use in control centers for modal analysis visualization (MAV). Modal analysis is performed on oscillations exhibited by generators in a power system. The MAV enhances situational awareness at control centers by providing near real-time insight into generators' oscillation damping capabilities. © 2017 IEEE.

关键词： Phasor measurement units

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Influencing behavior of electricity consumers to enhance participation in demand response

Influencing behavior of electricity consumers to enhance par...

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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

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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...

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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

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Stealthy malware traffic - not as innocent as it looks

arXiv

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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

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An information infrastructure framework for smart grids leveraging SDN and cloud

An information infrastructure framework for smart grids leve...

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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

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Dynamic performance enhancement of a utility-scale solar PV plant

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

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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

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