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Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

Application of Random PWM Techniques for Reducing the Electr...

引用

2009 IEEE 6th International Power Electronics and Motion control Conference-ECCE Asia

作者： Shahriyar Kaboli Amir Hossein Rajaei Aras Sheikhi Center of Excellence in Power System Management and Control Department of Electrical Engineering Sharif University of Technology Department of Electrical and Computer Engineering Tarbiat Modares University

Random pulse width modulation (RPWM) technique has been employed to generate the control signals of Vienna-type rectifier. This technique is compared to two conventional techniques (Hysteresis-band and ramp comparison with fix frequency carrier signal). Simulation results are illustrated for three approaches. The results verify significantly reduction of high frequency harmonics magnitude;and consequently overcome electromagnetic interference (EMI) problem in this active type of rectifier.

关键词： PWM Application of Random PWM Techniques for Reducing the Electromagnetic Interference of Vienna Rectifiers in Distribution Power System

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Decision support tool for resource allocation subject to imprecise data constraints

Decision support tool for resource allocation subject to imp...

引用

International Conference on control and Automation (ICCA)

作者： Grzegorz Bocewicz Zbigniew A. Banaszak Wojciech Muszynski Department of Computer Science and Management Technical University Koszalin Koszalin Poland Department of Business Informatics Warsaw University of Technology Warsaw Poland Institute of Computer Engineering Control and Robotics Wroclaw University of Technology Poland

This paper deals with resource allocation in multi-project manufacturing system design, where more than one shared renewable resource type may be required by the manufacturing operation and the availability of each type is time limited. The aim of the paper is to present a knowledge-based and constraint programming-driven approach to resource allocation where that data can be imprecise. The presented design scheme is used as a framework for developing a task oriented decision support tool for project portfolio prototyping (DST4P 3 ). The tool provides a prompt and interactive service to a set of routine queries defined in terms of both direct and inverse resource allocation tasks.

关键词： Resource management Production Fuzzy set theory Decision making Portfolios Decision support systems Electronic mail Logic programming Job shop scheduling Automatic control

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The Application of the Locally Linear Model Tree on Customer Churn Prediction

The Application of the Locally Linear Model Tree on Customer...

引用

International Conference of Soft Computing and Pattern Recognition (SOCPAR)

作者： Amineh Ghorbani Fattaneh Taghiyareh Caro Lucas Faculty of Technology Policy and Management Delft University of Technnology Delft Netherlands Department of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran Iran

Acquiring new customers in any business is much more expensive than trying to keep the existing ones. Thus many prediction models are presented to detect churning customers. The objective of this paper was to improve the predictive accuracy and interpretability of churn detection. For this purpose, the application of the locally linear model tree (LOLIMOT) algorithm, which integrates the advantage of neural networks, tree model and fuzzy modeling, was experimented. Applied to the data of a major telecommunication company, the method is found to improve prediction accuracy significantly compared to other algorithms, such as artificial neural networks, decision trees, and logistic regression. The results also indicate that LOLIMOT can have accurate outcome in extremely unbalanced datasets.

关键词： Predictive models Decision trees Neural networks Accuracy Artificial neural networks Logistics Regression tree analysis Pattern recognition Application software Conference management

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Model predictive control of fuel cell micro cogeneration systems

Model predictive control of fuel cell micro cogeneration sys...

引用

2009 IEEE International Conference on Networking, Sensing and control, ICNSC 2009

作者： Houwing, Michiel Negenborn, Rudy R. Ilic, Marija D. Schutter, Bart De Faculty of Technology Policy and Management of Delft University of Technology Jaffalaan 5 2628 BX Delft Netherlands Departments of Electrical and Computer Engineering and Engineering and Public Policy Carnegie MellonUniversity Pittsburgh PA United States Delft Center for Systems and Control of Delft University of Technology Mekelweg 2 2628 CD Delft Netherlands Marine and Transport Technology Department of Delft University of Technology Netherlands

ISBN: (纸本)9781424434923

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro- CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration. © 2009 IEEE.

关键词： Model predictive control

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Optimal placement of Unified Power Flow controllers (UPFCs) using Mixed-Integer Non-Linear Programming (MINLP) method

Optimal placement of Unified Power Flow Controllers (UPFCs) ...

引用

IEEE General Meeting Power& Energy Society

作者： F. Aminifar M. Fotuhi-Firuzabad A. Khodaei S. O. Faried Centre of Excellence in Power System Control and Management Electrical Engineering Department Sharif University of Technology Tehran Iran Electrical and Computer Engineering Department Illinois Institute of Technology Chicago IL USA Department of Electrical Engineering University of Saskatchewan Saskatoon Canada

Utilization of unified power flow controllers (UPFCs) can be more beneficial in the restructured power systems due to their capabilities in increasing the transmission line capacities as well as shunt reactive compensation. So, these devices should be installed such that the most benefit can be gained. In this paper, the problem of optimal placement of UPFCs is solved using Mixed-Integer Non-Linear Programming (MINLP) method. Hence, the problem is completely formulated based on this method and is solved using available commercial solvers. The salient feature of this method is having potential to simultaneously determine the optimal location of multi UPFCs. Also, since a full AC Optimal Power Flow (AC-OPF) is fulfilled during this process, functional parameters of UPFCs and results of OPF are obtained finally. Some case studies are examined to illustrate the effectiveness of the proposed formulation.

关键词： Load flow Optimal control Reactive power Voltage Nonlinear control systems control systems Admittance Power systems Power transmission lines Power system control

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Impacts of Loop Restoration Strategy on distribution system reliability

Impacts of Loop Restoration Strategy on distribution system ...

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Power Tech Conference

作者： Shahram Kazemi Mahmud Fotuhi-Firuzabad Majid Sanaye-Pasand Matti Lehtonen Department of Electrical Engineering Helsinki University of Technology Espoo Finland Department of Electrical Engineering Sharif University of Technology Tehran Iran Center of Excellence in Power System Control and Management Department of Electrical Engineering Sharif University of Technology Tehran Iran School of Electrical and Computer Engineering University of Tehran Tehran Iran

Implementation of distribution automation (DA) in electric power distribution systems can result in customer satisfaction with improved reliability, consistent quality and high-tech services. Loop restoration strategy (LRS) is a special DA method in the feeder level which is used by electric utilities to improve distribution system reliability. The effects of the implemented LRS on the reliability indices of a given distribution system mainly depend on its automatic control system (ACS). Selecting the type of ACS of LRS by electric utilities relies on the level of improvement required at load points and system oriented reliability indices. A step by step evaluation procedure is proposed in this paper to quantitatively assess the impacts of two common types of ACS of LRS on reliability indices of a distribution reliability test system.

关键词： Circuit faults Frequency Power system reliability Power system restoration Automation Customer satisfaction Power industry Automatic control Fuses Protection

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A Data-Driven Architecture for Remote control of Sensors over a Wireless Sensor Network and the Internet

A Data-Driven Architecture for Remote Control of Sensors ove...

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International Symposium on Parallel Architectures, Algorithms and Networks (ISPAN)

作者： Yuan-Jen Chang Chin-Hsing Chen Wen-Tzeng Huang You-Yin Chen Chih-Yuan Kuo Department of Management Information Systems Central Taiwan University of Science and Technology Taichung Taiwan Department of Computer Science and Information Engineering Minghsin University of Science and Technology Hsinchu Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Institute of Biomedical Engineering and Material Science Central Taiwan University of Science and Technology Taichung Taiwan

This study revealed an applicable architecture in which a data-driven mechanism was designed to bridge a wireless sensor network (WSN) and the Internet. The system was divided into two independent parts. The first part is the data communication between the sensor network and the database. The other part is the data communication between the database and the user interface (UI). These two parts are connected by the database server. Asynchronous interoperation was introduced while exchanging data between these two parts. Users were not allowed to control the sensors through direct connection to the sensors and can only use the Web service to update the sensor profile built in the database. The sensors were triggered to start the action through a data-update event from the database. A sensor profile built in the database collected all sensor information and all user control command. For the information to be centralized and triggered by the database, regardless of whether sensors were measured in a periodic sampling or an event-driven environment, all sensor actions were triggered through a data-update event in the database. For the sake of improving user experience, a Web-based UI was implemented using scalable vector graphics (SVG) and Ajax technologies. All operations by users were conducted through the Hypertext Transfer Protocol (HTTP) standard method. Therefore, this system can be used via a browser and easily deployed. The proposed architecture is suitable for a healthcare system, a personal body area network, and the Infranet for control.

关键词： Wireless sensor networks IP networks Databases Communication system control Data communication Bridges User interfaces Network servers Web server Web services

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Model predictive control of fuel cell micro cogeneration systems

Model predictive control of fuel cell micro cogeneration sys...

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IEEE International Conference on Networking, Sensing and control

作者： Michiel Houwing Rudy R. Negenborn Marija D. Ilic Bart De Schutter Electic Energy Systems Group of Carnegie Mellon University Pittsburgh PA USA Faculty of Technology Policy and Management Delft University of Technnology Delft Netherlands Delft Center of Systems and Control Delft University of Technnology Delft Netherlands Departments of Electrical and Computer Engineering and Engineering and Public Policy Carnegie Mellon University Pittsburgh PA USA Control of Future Electricity Network Operations Faculty of Technology Delft University of Technnology Delft Netherlands Marine and Transport Technology Department Delft University of Technnology Netherlands

With the increasing application of distributed energy resources and information technologies in the electricity infrastructure, innovative possibilities for incorporating the demand side more actively in power system operation are enabled. At the residential level energy costs could be reduced with intelligent price-based control concepts (demand response). A promising, controllable, residential distributed generation technology is micro cogeneration (micro-CHP). Micro-CHP is an energy efficient technology that simultaneously provides heat and electricity to households during operation. This paper presents a detailed model of a household using a proton exchange membrane fuel cell (PEMFC) micro-CHP system in conjunction with heat storage options to fulfil its heat and part of its electricity demand. Furthermore, a decentralised controller based on a model predictive control (MPC) strategy is proposed. MPC can take benefit of future knowledge on prizes and energy demands and can therefore lead to better system performance. In simulations the performance of the MPC-controlled PEMFC system is illustrated under different conditions regarding energy pricing, domestic energy demand, and system configuration.

关键词： Predictive models Predictive control Fuel cells Cogeneration Resistance heating Power system modeling Distributed control Energy resources Information technology Costs

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Evaluating a Mobile Emergency Response System

Evaluating a Mobile Emergency Response System

引用

14th International Workshop of Groupware

作者： Sapateiro, Claudio Antunes, Pedro Zurita, Gustavo Vogt, Rodrigo Baloian, Nelson Systems and Informatics Department Superior School of Technology Polytechnic Institute of Setúbal Portugal Department of Informatics Faculty of Sciences University of Lisbon Portugal Management Control and Information Systems Department Business School Universidad de Chile Chile Computer Science Department Engineering School Universidad de Chile Chile

ISBN: (纸本)9783540928300

Existing information systems often lack support to crisis and emergency situations. In such scenarios, the involved actors often engage in ad hoc collaborations necessary to understand and respond to the emerging events. We propose a collaboration model and a prototype aiming to improve the consistency and effectiveness of emergent work activities. Our approach defends the requirement to construct shared situation awareness (SA). To support SA, we developed a collaborative artifact named situation matrixes (SM), which relates different situation dimensions (SD) of the crisis/emergency scenario. A method was also developed to construct and evaluate concrete SM and SD. This method was applied in two organizations' IT service desk teams, which often have to deal with emergency situations. The target organizations found our approach very relevant in organizing their response to emergencies.

关键词： Emergency services

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A new artificial intelligence approach for 2D path planning for underwater vehicles avoiding static and energized obstacles

A new artificial intelligence approach for 2D path planning ...

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Congress on Evolutionary Computation

作者： S. Khanmohammadi G. Alizadeh J. Jassbi M. Pourmahmood Control Engineering Department Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Industrial Management Department Azad University Science and Research Branch Tehran Iran

Optimal trajectories in energetic environment for underwater vehicles can be computed using a numerical solution of the optimal control problem (OCP). An underwater vehicle is modeled with the six dimensional nonlinear and coupled equations of motion, controlled by DC motors in all degrees of freedom. An energy performance index that should be minimized may be considered. This leads to a two point boundary value problem (TPBVP). The resulting TPBVP is generally solved using iterative methods. In this paper, the applications of two different intelligent algorithms are briefly studied and compared versus the generally acceptable conjugate gradient penalty (CGP) method for the OCP. Genetic algorithm (GA) and particle swarm optimization (PSO) methods are applied to solve OCP. Two approaches for performance index minimization, using GA and PSO, are proposed. CGP method is used to solve the TPBVP, by applying Euler-Lagrange equation. The simulation results show that the trajectories obtained by the intelligent methods were better than that of conjugate gradient penalty. After analyzing the simple path planning problem, the problem energetic environments consisting some energy sources is propounded. The optimal paths are found using GA and PSO algorithms. The problem of collision avoidance in an energetic environment is solved and energy avoidance paths are computed.

关键词： Underwater vehicles Trajectory Optimal control Mathematical model Propellers Damping Gallium

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