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Optimal control parameters for a UPFC in a multimachine using PSO

Optimal control parameters for a UPFC in a multimachine usin...

引用

13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

作者： Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent System Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409 United States

ISBN: (纸本)1599750287

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller (UPFC) is an effective means for controlling the power flow and can provide damping capability during transient conditions. The UPFC is controlled conventionally using PI controllers. The optimal design of the PI controllers for a UPFC is a challenging task and time consuming using the conventional techniques. This paper presents an approach using Particle Swarm Optimization (PSO) for the design of optimal conventional controllers for a UPFC in a multimachine power system. Simulation results are presented to show the effectiveness of the proposed PSO based approach for the design of optimal conventional controllers for a UPFC in a multimachine power system. © 2005 ISAP.

关键词： Electric control equipment

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Neural networks based non-uniform scalar quantizer design with particle swarm optimization

Neural networks based non-uniform scalar quantizer design wi...

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2005 IEEE Swarm Intelligence Symposium, SIS 2005

作者： Zha, Wenwei Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States

ISBN: (纸本)0780389166

Quantization is a crucial link in the process of digital speech communication. Non-uniform quantizer such as the logarithm quantizers are commonly used in practice. In this paper, a companding non-uniform quantizer is designed using two neural networks to perform the nonlinear transformation. Particle swarm optimization is applied to find the weights of neural networks such that the signal to noise ratio (SNR) is maximized. Simulation results on different speech samples are presented and the proposed quantizer design is compared with the logarithm quantizer for bit rates ranging from 3 to 8. © 2005 IEEE.

关键词： Neural networks

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Wide area power system protection using a learning vector quantization network

Wide area power system protection using a learning vector qu...

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13th International Conference on Intelligent Systems Application to Power Systems, ISAP'05

作者： Venayagamoorthy, Ganesh K. Zarghami, Mahyar IEEE Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla MO 65409 United States

ISBN: (纸本)1599750287

This paper presents a wide area monitoring and protection technique based on a Learning Vector Quantization (LVQ) neural network. Phasor measurements of the power network buses are monitored continuously by a LVQ network in order to alert the control room operators of possible faults. The proposed scheme could be used in a wide area monitored network to provide remedial action when primary local protection schemes for transmission lines fail to function. This technique could also be extended to the actuation of the secondary protection schemes, hence, preserving the integrity of the power network especially when the faults are spreading over a wide area network to the other areas of the system. The scheme has been applied to a two-area power system in this paper and the LVQ results show that it is a promising scheme for system protection against partial or total blackouts or brown outs. © 2005 ISAP.

关键词： Wide area networks

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A neural network based optimal wide area control scheme for a power system

A neural network based optimal wide area control scheme for ...

引用

2005 IEEE Industry Applications Conference, 40th IAS Annual Meeting

作者： Venayagamoorthy, Ganesh K. Ray, Swakshar IEEE Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States

ISBN: (纸本)0780392086

With deregulation of the power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area control systems (WACSs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. This paper presents the design and the DSP implementation of a nonlinear optimal wide area controller based on adaptive critic designs and neural networks for a power system on the real-time Digital Simulator (RTDS®). The performance of the WACS as a power system stability agent is studied using the Kundur's two area power system example. The WACS provides better damping of power system oscillations under small and large disturbances even with the inclusion of local power system stabilizers. © 2005 IEEE.

关键词： Neural networks

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Comparison of non-uniform optimal quantizer designs for speech coding with adaptive critics and particle swarm

Comparison of non-uniform optimal quantizer designs for spee...

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2005 IEEE Industry Applications Conference, 40th IAS Annual Meeting

作者： Zha, Wenwei Venayagamoorthy, Ganesh K. IEEE Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla MO 65409-0249 United States

ISBN: (纸本)0780392086

This paper presents the design of a companding non-uniform optimal scalar quantizer for speech coding. The quantizer is designed using two neural networks to perform the nonlinear transformation. These neural networks are used in the front and back ends of a uniform quantizer. Two approaches are presented in this paper namely adaptive critic designs (ACD) and particle swarm optimization (PSO), aiming to maximize the signal to noise ratio (SNR). The comparison of these optimal quantizer designs over bit rate range of 3 to 6 is presented. The perceptual quality of the coding is evaluated by the International Telecommunication Union's Perceptual Evaluation of Speech Quality (PESQ) standard. © 2005 IEEE.

关键词： Speech coding

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Priority refinement for dependent tasks in large embedded real-time software

Priority refinement for dependent tasks in large embedded re...

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IEEE Symposium on real-time and Embedded Technology and Applications

作者： J.R. Merrick S. Wang K.G. Shin Department of Electrical Engineering and Computer Science Real-Time Computing Laboratory The University of Michigan Ann Arbor MI

In a large embedded real-time system, priority assignment can greatly affect the timing behavior - which can consequently affect the overall behavior - of the system. Thus, it is crucial for model-based design of a large embedded real-time system to be able to intelligently assign priorities such that tasks can meet their deadlines. In this paper, we propose a priority-refinement method for dependent tasks distributed throughout a heterogeneous multiprocessor environment. In this method, we refine an initial priority assignment iteratively using the simulated annealing technique with tasks' latest completion times (LCT). Our evaluations, based on randomly-generated models, have shown that the refinement method outperforms other priority-assignment schemes and scales well for large, complex, real-time systems. This method has been implemented in the Automatic Integration of Reusable Embedded Software (AIRES) toolkit and has been successfully applied to a vehicle system control application.

关键词： Embedded software real time systems Timing Simulated annealing Vehicles Control systems Application software Programming Software architecture Embedded computing

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Power-aware real-time scheduling using pinwheel model and profiling technique

Power-aware real-time scheduling using pinwheel model and pr...

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11th IEEE International Conference on Embedded and real-time computing Systems and Applications

作者： Lin, Hsin-Hung Hsueh, Chih-Wen Real-Time Systems Laboratory Department of Computer Science and Information Engineering National Chung Cheng University Chiayi 621 Taiwan

ISBN: (纸本)0769523463

Energy consumption is a critical design issue in embedded systems, especially in battery-operated systems. Maintaining high performance while extending the battery life is an interesting challenge for system designers. Dynamic voltage scaling and dynamic frequency scaling allow us to adjust supply voltage and processor frequency to adapt to the workload demand for better energy management. Because of the high complexity involved, most solutions depend on heuristics for online power-aware real-time scheduling or offline time-consuming scheduling. In this paper, we discuss how we can apply pinwheel model to power-aware real-time scheduling so that task information, including start times, finish times, preemption times, etc, can be efficiently derived using pinwheel model. System predictability is thus increased and under better control on power-awareness. However, job execution time may be only a small portion of its worst case execution time and can only be determined at runtime. We implement a profiling tool to insert codes for collecting runtime information of real-time tasks. Worst case execution time is updated online for scheduler to perform better rescheduling according to actual execution. Simulations have shown that at most 50% energy can be saved by the proposed scheduling algorithm. Moreover, at most additional 33% energy can be saved when the profiling technique is applied. © 2005 IEEE.

关键词： real time systems

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Distributed mining of partial periodic patterns in sequences

Distributed mining of partial periodic patterns in sequences

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作者： Hsiao, Han-Wen Tsai, Meng-Shu Tsai, Jeffrey J. P. Department of Computer Science and Information Engineering Asia University Taiwan Taiwan Institute of Information Technology Asia University Taiwan Taiwan Department of Computer Science University of Illinois Chicago United States Taichung Healthcare and Management University Department of Computer Science and Information Engineering Department of Biotechnology and Bioinformatics Department of Electrical Engineering and Computer Science University of Illinois Chicago Distributed Real-Time Intelligent Systems Laboratory

It has been an important task of discovering frequent fragments as particular patterns from large sequence databases generated from a variety of applications. In general, the patterns to be discovered may partially and asynchronously exist in sequences, and even contain gaps. In addition, it is necessary to collect the information regarding the locations and frequencies of the patterns. How to enumerate candidate patterns for evaluation without exponentially increasing the computation is another problem. In this paper, the modified periodicity transform is proposed to meet the requirements mentioned above. Also, a distributed computing framework is implemented to perform the mining task more efficiently. Both synthetic and biological sequences are utilized to examine the approach. The experimental results demonstrate the efficiency and effectiveness the system.

关键词： Data mining

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Hardware implementation of a Mamdani fuzzy logic controller for a static compensator in a multimachine power system

Hardware implementation of a Mamdani fuzzy logic controller ...

引用

2005 IEEE Industry Applications Conference, 40th IAS Annual Meeting

作者： Mohagheghi, Salman Venayagamoorthy, Ganesh K. Rajagopalan, Satish Harley, Donald G. School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA 30332-0250 United States Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri-Rolla Rolla MO 65409-0249 United States

ISBN: (纸本)0780392086

A Mamdani based fuzzy logic controller is designed and implemented for controlling a STATCOM, which is connected to a 10 bus multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently provide control signals for the STATCOM during different disturbances in the network. The proposed controller is implemented using the M67 DSP board and is interfaced to the multimachine power system simulated on a real-time Digital Simulator (RTDS). Experimental results are provided, showing that the proposed controller provides more effective damping than the conventional PI controller in a typical large scale disturbance, i.e., a three phase short circuit. © 2005 IEEE.

关键词： Fuzzy control

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Optimizing collective communications on SMP clusters

Optimizing collective communications on SMP clusters

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2005 International Conference on Parallel Processing

作者： Wu, Meng-Shiou Kendall, Ricky A. Wright, Kyle Department of Electrical and Computer Engineering Scalable Computing Laboratory Iowa State University Ames IA 50011 United States Department of Computer Science Scalable Computing Laboratory Iowa State University Ames IA 50011 United States

ISBN: (纸本)0769523803

We describe a generic programming model to design collective communications on SMP clusters. The programming model utilizes shared memory for collective communications and overlapping inter-node/intra-node communications, both of which are normally platform specific approaches. Several collective communications are designed based on this model and tested on three SMP clusters of different configurations. The results show that the developed collective communications can, with proper tuning, provide significant performance improvements over existing generic implementations. For example, when broadcasting an 8MB message our implementations outperform the vendor's MPI_Bcast by 35% on an IBM SP system, 51% on a G4 cluster, and 63% on an Intel cluster, the latter two using MPICH's MPI_Bcast. With all-gather operations using 8MB messages, our implementation outperform the vendor's MPI_Allgather by 75% on the IBM SP, 60% on the Intel cluster, and 48% on the G4 cluster. © 2005 IEEE.

关键词： computer programming

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