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Particle Swarm Optimization based Defensive Islanding of Large Scale Power System

Particle Swarm Optimization based Defensive Islanding of Lar...

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International Joint Conference on Neural Networks (IJCNN)

作者： Wenxin Liu D.A. Cartes G.K. Venayagamoorthy Center of Advanced Power Systems (CAPS) Florida State University Tallahassee USA Real-Time Power and Intelligent Systems Laboratory the Department of Electrical and Computer Engineering University of Missouri MO USA

Defensive islanding is an efficient way to avoid catastrophic failures and wide area blackouts. Power system splitting especially for large scale power systems is a combinatorial explosion problem. Thus, it is very difficult to find an optimal solution (if one exists) for large scale power system in real time. This paper proposes to utilize the computational efficiency property of binary particle swarm optimization (BPSO) to find some efficient splitting solutions in limited timeframe. The solutions are optimized based on a cost function considering the balance between real power generation and consumption, the relative importance of customers, the capacities of distribution and transmission systems, and possibility of region to be impacted, etc. The solutions not only provide the lines to cut but also the corresponding load shedding information in each island. Simulations with large scale power system demonstrate the effectiveness of the proposed algorithm.

关键词： Particle swarm optimization Large-scale systems Power systems Power system stability Power system protection Power system dynamics Cost function Power system simulation Real time systems Power system faults

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Bacteria Foraging: A New Tool for Simultaneous Robust Design of UPFC Controllers

Bacteria Foraging: A New Tool for Simultaneous Robust Design...

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Tripathy S. Mishra G.K. Venayagamoorthy University College of Engineering Burla Orissa India Department of Electrical Engineering Indian Institute of Technology New Delhi India Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory University of Missouri MO USA

Robust tuning of lead-lag type controller used for regulating FACTS control signal to improve dynamic stability has been an area of interest in research. This paper presents a new approach based on the foraging behavior of *** Bacteria in the human intestine, to optimize simultaneously three constants each of four lead-lag type UPFC controller present in a single machine infinite bus (SMIB) power system. For the tuning purpose, a multi-objective cost function is formulated that accounts for damping factors and ratios of various system modes for a wide range of operating conditions. Robustness of the proposed tuning method is shown by transient stability analysis of the system time domain simulations when subjected to disturbances at different operating conditions.

关键词： Microorganisms Robust control Robust stability Power system dynamics Power system stability Power system simulation Power system transients Humans Intestines Control systems

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Recurrent Neural Network Based Predictions of Elephant Migration in a South African Game Reserve

Recurrent Neural Network Based Predictions of Elephant Migra...

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International Joint Conference on Neural Networks (IJCNN)

作者： P. Palangpour G.K. Venayagamoorthy K. Duffy Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO USA Centre for Systems Research Durban Institute of Technology Durban South Africa

A large portion of South Africa's elephant population can be found on small wildlife reserves. When confined to enclosed reserves the elephant densities are much higher than observed in the wild. The large nutritional demands and destructive foraging behavior of elephants threaten rare species of vegetation. If conservation management is to protect threatened species of vegetation, knowing how long elephants will stay in one area of the reserve as well as which area they will move to next is essential. The goal of this study is to train a recurrent neural network (RNN) to continuously predict an elephant herd's next position in the Pongola Game Reserve. Accurate predictions would provide a useful tool in assessing future impact of elephant populations on different areas of the reserve. The particle swarm optimization (PSO) algorithm is used to adapt the weights of the neural network. Results are presented to show the effectiveness of RNN-PSO for elephant migration prediction.

关键词： Recurrent neural networks intelligent networks Vegetation Neural networks Africa Wildlife Particle swarm optimization Power system management Predictive models Protection

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Synchronous Reference Frame Based Active Filter Current Reference Generation Using Neural Networks

Synchronous Reference Frame Based Active Filter Current Refe...

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Annual Conference of Industrial Electronics Society

作者： Joy Mazumdar Ronald G Harley Ganesh K. Venayagamoorthy School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA Real-Time Power and Intelligent Systems Laboratory University of Missouri Rolla Rolla MO USA

The increased use of nonlinear devices in industry has resulted in direct increase of harmonic distortion in the industrial power system in recent years. The significant harmonics are almost always 5th, 7th, 11th and the 13th with the 5th harmonic being the largest in most instances. Active filter systems have been proposed to mitigate harmonic currents of the industrial loads. The most important requirement for any active filter is the precise detection of the individual harmonic component's amplitude and phase. Fourier transform based techniques provide an excellent method for individual harmonic isolation, but it requires a minimum of two cycles of data for the analysis, does not perform well in the presence of subharmonics which are not integral multiples of the fundamental frequency and most importantly introduces phase shifts. To overcome these difficulties, this paper proposes a multilayer perceptron neural network trained with back-propagation training algorithm to identify the harmonic characteristics of the nonlinear load. The operation principle of the synchronous-reference-frame-based harmonic isolation is discussed. This proposed method is applied to a thyristor controlled DC drive to obtain the accurate amplitude and phase of the dominant harmonics. This technique can be integrated with any active filter control algorithm for reference generation

关键词： Active filters Synchronous generators Neural networks Power system harmonics Power harmonic filters Harmonic distortion Industrial power systems Phase detection Fourier transforms Data analysis

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Research on a Throwing Multidimensional Force Sensing System for Advanced Training of Shot-Put Athletes

Research on a Throwing Multidimensional Force Sensing System...

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International Conference on Information and Automation (ICIA)

作者： Zhen Gao Quanjun Song Ming Liu Jianhe Lei Yong Yu Yunjian Ge State Key laboratory of Robot Sensing System Institute of Intelligent Machines Chinese Academy and Sciences Hefei Anhui China Department of Electrical and Computer Systems Engineering Monash University Melbourne VIC Australia

In this paper, we develop a novel digital-shot system for sensing the throwing force information of shot-put athletes in real time. The digital-shot has been designed and manufactured with the same external dimensions and weight as the normal shot for open females. The three axes integrated accelerometer, as a crucial device in the force sensing system, can acquire the kinetics data along three orthogonal directions with reasonably high accuracy. By using the method of wavelet transformation, the characteristics of acceleration signals during the shot-put period can be extracted. Artificial neural network is adopted to recognise the movement pattern in different phases of shot throwing. For supplying more effective training instruction, with the help of six axes ground reaction force measuring apparatus, high-speed photography and surface electromyographic signal remote measuring device etc, an integrated platform of shot-put athlete biomechanical information acquisition is constructed. Based on the fusion of multi-targets and multi-parameters information, the shot-put athletes coaching system is proposed, which not only can supply constructive guidance for athletes to improve their skills, but also provide a new research platform of motion human modeling.

关键词： Multidimensional systems Force measurement Real time systems Manufacturing Accelerometers Kinetic theory Acceleration Data mining Artificial neural networks Pattern recognition

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Robust Control Design for the Mass-Damper Type Anti-Sway System

Robust Control Design for the Mass-Damper Type Anti-Sway Sys...

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SICE Annual Conference

作者： Young-bok Kim Masao Ikeda Jin-ho Suh Guisheng Zhai Seong-hoon Han Faculty of Mechanical Engineering Pukyong National University Busan South Korea Department of Computer-Controlled Mechanical Systems Osaka University Osaka Japan Pohang Institute of Intelligent Robotics PIRO Pohang South Korea Department of Mechanical Engineering Osaka Prefecture University Osaka Japan Department of Electrical Engineering Graduate School Dong-A University Busan South Korea

In the previous studies, we suggested a new type of swing motion control system for the crane system in which a small auxiliary mass is installed on the spreader. The actuator reacting against the auxiliary mass applies inertial control forces to the spreader of the container crane to reduce the swing motion in the desired manner. In the papers, to identify the usefulness and validity of the proposed system, we applied several control strategies. In the results, good control performance and valuable results had been achieved. In this paper, we evaluate and check the system in the point of more real application. For an example, the transportation process of RTG to handle the cargos is considered. In this case, undesirable sway motion might be occurred. To suppress this motion, a pursueable strategy (approach) is introduced. And, it will be shown that the proposed control strategy is useful and it can be easily applicable to the real world

关键词： Robust control Cranes Motion control Containers Control systems Mechanical engineering intelligent robots Marine vehicles Transportation Mechanical systems

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Introduction of Mission Unit on Information Collection by On-Rubble Mobile Platforms of Development of Rescue Robot systems (DDT) Project in Japan

Introduction of Mission Unit on Information Collection by On...

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SICE Annual Conference

作者： Fumitoshi Matsuno Shigeo Hirose Iwaki Akiyama Takao Inoh Michele Guarnieri Naoji Shiroma Tetsushi Kamegawa Kazunori Ohno Noritaka Sato Kawasaki Laboratory International Rescue System Institute Kawasaki Japan Department of Mechanical Engineering and Intelligent Systems University of Electro-Communications Tokyo Japan Department of Mechanical and Aerospace Engineering Tokyo Institute of Technology Tokyo Japan Department of Electrical and Electronic Engineering Shonan Institute of Technology Japan. Tel : +81-466-30-0190 E-mail: akiyama@*** Department of Mechanical and Aerospace Engineering Tokyo Institute of Technology Tokyo Japan. Tel : +81-03-5734-3177 E-mail: guarnieri@robotics.mes.titech.ac.jp Department of Intelligent Systems Engineering Ibaraki University Hitachi Japan Department of System Engineering Okayama University Okayama Japan Department of Bioengineering and Robotics Tohoku University Sendai Japan

intelligent rescue systems with high information and robot technology have been expected to mitigate disaster damages, especially in Japan after the 1995 Hanshin-Awaji earthquake. In development of robots for search and rescue tasks it is important to develop a robot which can actually work in a real disaster site. Several robots were used for the search and detection operation in the collapsed World Trade Center building in September 2001. From 2002 "Special Project for Earthquake Disaster Mitigation in Urban Areas" (5 years project) launched by Ministry of Education, Culture, Spots, Science and Technology, Japan. It aims at significant mitigation the earthquake disaster damage on the scale of the Great Hanshin earthquake, in densely populated areas in big city regions such as Tokyo metropolitan area and Keihanshin area. In this paper, we introduce the activities of the mission unit on the information collection by on-rubble mobile platforms

关键词： Mobile robots intelligent robots Earthquakes systems engineering and theory intelligent systems Urban areas Robot sensing systems Humans System testing Laboratories

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Asynchronous event-based communication across Service Brokers

Asynchronous event-based communication across Service Broker...

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12th European Wireless Conference 2006 - Enabling Technologies for Wireless Multimedia Communications

作者： E. Koutsoloukas S. Kapellaki G. N. Prezerakos N. Tselikas I. S. Venieris D. I. Kaklamani Intelligent Communications and Broadband Networks Laboratory School of Electrical and Computer Engineering National Technical University of Athens 9 Heroon Polytechneioy str Zografou Greece Technological Education Institute of Piraeus Faculty of Technology Dpt. of Electronic Computing Systems Petrou Ralli & Thivon 250 122 44 Athens Greece

Modern communication environments tend to be complex, dynamic and highly distributed. For the provision of messaging in such environments multiple entities, providing different functionalities and located remotely from each other, must cooperate in order to perform different tasks and provide different kind of information for the completion of the service provision lifecycle. Within this paper we present an implementation analysis of the communication mechanism which was employed in a distributed brokerage framework for the provision of context aware personalized services. The paper focuses on the inter-broker communication mechanism which enables the transparent interaction between components located in different brokers. The mechanism was designed and implemented having in mind relevant requirements such as transparency, modularity and high availability. The design and implementation was based on web service practices and the SOAP protocol.

关键词： Laboratories

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MARCO: A modular architecture for following route instructions

MARCO: A modular architecture for following route instructio...

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AAAI-05 Workshop

作者： MacMahon, Matt Department of Electrical and Computer Engineering Intelligent Robotics Laboratory University of Texas Austin

ISBN: (纸本)1577352440

Understanding and following verbal instructions is a crucial human ability, allowing quick transfer of knowledge about acting in the world. This paper presents the MARCO modular architecture for reasoning about and following route instructions. The Syntactic Parser parses route instruction texts. The Content Framer interprets the surface meaning of each sentence. The Instruction Modeler combines information across phrases and sentences: imperatively, as a representation of what to do under which circumstances, and declaratively, as a model of what is stated and implied about the world. The Executor reactively interleaves action and perception, executing the instructions in the context of the environment. The Robot Controller adapts low-level actions and local view descriptions to the particular follower's motor and sensory capabilities. When the follower can interact with a director, the follower can plan dialog moves that increase its understanding and likelihood of reaching the destination.

关键词： computer software

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A combinational approach to the fusion, de-noising and enhancement of dual-energy x-ray luggage images

A combinational approach to the fusion, de-noising and enhan...

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2005 IEEE computer Society Conference on computer Vision and Pattern Recognition, CVPR 2005 - Workshops

作者： Chen, Zhiyu Zheng, Yue Abidi, Besma R. Page, David L. Abidi, Mongi A. Imaging Robotics and Intelligent Systems Laboratory Electrical and Computer Engineering Department University of Tennessee KnoxvilleTN37996 United States

ISBN: (纸本)0769526608

X-ray luggage inspection systems play an important role in ensuring air travelers' security. However, the false alarm rate of commercial systems can be as high as 20% due to less than perfect image processing algorithms. In an effort to reduce the false alarm rate, this paper proposes a combinational scheme to fuse, de-noise and enhance dual-energy X-ray images for better object classification and threat detection. The fusion step is based on the wavelet transform. Fused images generally reveal more detail information;however, background noise often gets amplified during the fusion process. This paper applies a background-subtraction-based noise reduction technique which is very efficient in removing background noise from fused X-ray images. The de-noised image is then processed using a new enhancement technique to reconstruct the final image. The final image not only contains complementary information from both source images, but is also background-noise-free and contrast-enhanced, therefore easier to segment automatically or be interpreted by screeners, thus reducing the false alarm rate in X-ray luggage inspection. © 2005 IEEE computer Society. All rights reserved.

关键词： Wavelet transforms

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