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2014 IEEE Symposium Series on Computational Intelligence, IEEE SSCI 2014 - 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, CIASG 2014

作者： Arunagirinathan, Paranietharan Abdelsalam, Hany A. Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Lab. Holcombe Department of Electrical and Computer Engineering Clemson University SC29634 United States Electrical Engineering Department Faculty of Engineering Kafrelshikh University Kafr Elsheikh Egypt

ISBN: (纸本)9781479945474

Power system stabilizer (PSS) tuning is an important and challenging task in today's power system. In order to investigate the use of remote measurements of generator speed signals in respective PSS tuning, data from phasor measurement units (PMUs) are used in this paper. The PSSs parameter remote tuning is illustrated using a real-time digital simulator (RTDS). A MATLAB-based particle swarm optimization (PSO) algorithm is implemented including the interface with the RTDS system. The two-area four-machine power system benchmark is simulated, and speed signals obtained from PMUs are used in the tuning process. The best parameters obtained for PSSs and typical results are presented to show the effectiveness of using PMU measurements for remote tuning of a number of PSSs. © 2014 IEEE.

关键词： Phasor measurement units

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An interdisciplinary approach to autonomous team-based exploration in disaster scenarios 12

An interdisciplinary approach to autonomous team-based explo...

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12th IEEE International Symposium on Safety, Security and Rescue Robotics, SSRR 2014

作者： Gernert, Björn Schildt, Sebastian Wolf, Lars Zeise, Björn Fritsche, Paul Wagner, Bernardo Fiosins, Maksims Manesh, Ramin Safar Müller, Jörg P. Institute of Operating Systems and Computer Networks Technische Universität Braunschweig Braunschweig Germany Institute of Systems Engineering Real Time Systems Group Leibniz Universität Hannover Hannover Germany Institute of Informatics Technische Universität Clausthal Clausthal Germany

ISBN: (纸本)9781479941995

Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key softand hardware elements presented in this paper have been prototypically implemented and tested. © 2014 IEEE.

关键词： Robots

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Educational robots for Internet-of-Things supported collaborative learning

Communications in Computer and Information Science

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Communications in computer and Information Science 2014年 465卷 346-358页

作者： Plauska, Ignas Damaševičius, Robertas Centre of Real Time Computer Systems India Software Engineering Department Kaunas University of Technology Studentų 50 Kaunas Lithuania

We present a vision of using educational robots as smart mobile components ("things") of Internet-of-Things. Such robots, beside their primary mission to facilitate learning, are able to communicate;have computing capabilities;as well as have sensors and actuators to sense and change their physical context. The robot serves both as the educational service that allows to visualize knowledge through explicit actions and behaviour as well as the enabler of learning and providing student engagement through immersion and instant feedback. The vision is based on the principles of contextualization, physicality and immersion. The pedagogical background is the proposed Internet-of-Things Supported Collaborative Learning (IoTSCL) paradigm based on constructivism, which provides a highly motivating learning environment in university, promoting collaboration among students, and achieving the creation of new knowledge in a reflexive process directed by the teacher. We demonstrate the implementation of the paradigm in the project-based setting at the university course and evaluate it using the Four-Phased Model of Interest Development. © Springer International Publishing Switzerland 2014.

关键词： Internet of things

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Computational Approaches for Bad Data Handling in Power System Synchrophasor Networks

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IFAC Proceedings Volumes 2014年第3期47卷 11269-11274页

作者： Ganesh K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering Clemson University Clemson SC 29634 USA Tel: +1 864-6565936

The state estimators used in real-time power system control centers now process bad data as a standard routine. With the introduction and deployment of phasor measurement units (PMUs), it is possible to model power systems, even with their time-varying nature, in real-time. However, PMUs remain vulnerable to providing bad data for several reasons. In this paper, a new intelligent framework, the cellular computational netwo rk (CCN), is introduced for the decentralized predictive modeling and dynamic state estimation (DSE) of a power system with PMU data. The CCN-based DSE is resilient to interactions between multiple segments of bad data from one or more PMUs.

关键词： Bad Data Phasor Measurement Units Power System Synchrophasor Network

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An interdisciplinary approach to autonomous team-based exploration in disaster scenarios

An interdisciplinary approach to autonomous team-based explo...

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IEEE International Workshop on Safety, Security, and Rescue Robotics (SSRR)

作者： Björn Gernert Sebastian Schildt Lars Wolf Björn Zeise Paul Fritsche Bernardo Wagner Maksims Fiosins Ramin Safar Manesh Jörg P. Müller Institute of Operating Systems and Computer Networks Technische Universität Braunschweig Braunschweig Germany Institute of Systems Engineering - Real Time Systems Group Leibniz Universität Hannover Hannover Germany Institute of Informatics Technische Universität Clausthal Clausthal Germany

Autonomous robots can be used to perform reconnaissance missions in disaster scenarios when the safety of humans cannot be guaranteed. We developed an interdisciplinary approach to autonomous team-based exploration in such settings. The introduced system architecture consists of robust communication and reactive task allocation, built upon a research robot platform. A team of robots autonomously executes exploration tasks deploying a long-term sensor network. All robots and sensors are linked through the so-called distributed common information model (dCIM), which is the global knowledge base of our system. It enables the robots to share a unified environment model and to perform dynamic task scheduling. All key soft-and hardware elements presented in this paper have been prototypically implemented and tested.

关键词： Robot kinematics Robot sensing systems Wireless sensor networks IEEE 802.11 Standards Protocols Schedules

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Characterizing feedback signal drop patterns in formal verification of networked control systems

Characterizing feedback signal drop patterns in formal verif...

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2013 IEEE Conference on computer Aided Control System Design, CACSD 2013

作者： Goswami, Dip Chakraborty, Samarjit Bhaduri, Purandar Mitter, Sanjoy K. Institute for Real-Time Computer Systems TU Munich Germany Department of Computer Science and Engineering IIT Guwahati India Laboratory for Information and Decision Systems MIT United States

ISBN: (纸本)9781479915651

In order to obtain resource efficient implementations of control loops on embedded platforms, recently there has been a renewed interest in studying stability and various other quality-of-control (QoC) metrics in the presence of control message drops. Towards this, different methods have been proposed to quantify the impact of message drops on stability and control performance. In this paper we will survey these techniques and clarify the relationship between them. Given a drop pattern that satisfies stability and specified QoC constraints, it is important to check whether an implementation platform satisfies this pattern. In other words, whether the control loop in question may be implemented on this platform. Given an architecture, we will also show how certain notions of expressing drop patterns are easier to verify compared to others. © 2013 IEEE.

关键词： Drops

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Sufficient real-time analysis for an engine control unit 13

Sufficient real-time analysis for an engine control unit

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21st International Conference on real-time Networks and systems, RTNS 2013

作者： Pollex, Victor Feld, Timo Slomka, Frank Margull, Ulrich Mader, Ralph Wirrer, Gerhard Institute of Embedded Systems/Real-Time Systems Ulm University 89069 Ulm Germany Faculty of Electrical Engineering and Computer Science Ingolstadt University of Applied Sciences Esplanade 10 85049 Ingolstadt Germany Continental AG Siemensstr. 12 93055 Regensburg Germany

ISBN: (纸本)9781450320580

In an engine control unit two types of tasks are executed. On the one hand the time-triggered tasks, which are activated periodically after a specific amount of time has elapsed. On the other hand engine-triggered tasks, which are activated whenever the engine arrives at a specific angular position. In consequence the frequency that an engine-triggered task is activated changes with the speed of the engine. Additionally, the execution time of both time triggered and engine-triggered tasks may also depend on the speed of the engine. The existing methods of real-time analysis are not capable of addressing this behavior adequately. In this paper we present a sufficient real-time analysis for an engine control unit. The analysis considers the changing speed of the engine over time and subsequently the changing frequency of task activations in conjunction with the varying execution times. © 2013 ACM.

关键词： Engines

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Usability analysis of visual programming languages using computational metrics

Usability analysis of visual programming languages using com...

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IADIS International Conferences - Interfaces and Human computer Interaction 2013, IHCI 2013 and Game and Entertainment Technologies 2013, GET 2013, Part of the IADIS Multi Conference on computer Science and Information systems 2013, MCCSIS 2013

作者： Plauska, Ignas Damaševičius, Robertas Centre of Real Time Computer Systems Kaunas University of Technology Studentu St. 50 LT-51368 Kaunas Lithuania Department of Software Engineering Kaunas University of Technology Studentu St. 50-415 LT-51368 Kaunas Lithuania

ISBN: (纸本)9789728939908

Usability is the main requirement for developing modern graphical user interfaces. We focus on usability of visual programming languages (VPLs), which allow software developers to create programs by manipulating program elements graphically. As common usability evaluation methods based on user surveys are subjective, we research objective computational measures based on characteristics of visual elements to evaluate language usability. The paper presents the analysis and evaluation of usability of main graphical elements of popular VPLs in robotics domain (Microsoft Visual Programming Language, Lego NXT-G) using visibility and complexity metrics based on the "Physics of Notations" approach, and formulation of recommendations for visual elements of new visual programming languages. © 2013 IADIS.

关键词： Graphical user interfaces

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Dynamic performance model of wind turbine generators

Dynamic performance model of wind turbine generators

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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

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

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

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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

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