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HDP based optimal control of a grid independent PV system

HDP based optimal control of a grid independent PV system

引用

IEEE General Meeting Power& Energy Society

作者： R.L. Welch G.K. Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA

This paper presents an adaptive optimal control scheme for a grid independent photovoltaic (PV) system consisting of a PV collector array, a storage battery, and loads (critical and non-critical loads). The optimal control algorithm is based on the model-free heuristic dynamic programming (HDP), an adaptive critic design (ACD) technique which optimizes the control performance based on a utility function. The HDP critic network is used in a PV system simulation study to train a neurocontroller to provide optimal control for varying PV system output energy and load demands. The emphasis of the optimal controller is primarily to supply the critical base load demand at all times. Simulation results are presented to compare the performance of the proposed optimal scheme with the conventional priority control scheme. Results show that HDP based control scheme performs better than a conventional priority control scheme

关键词： Optimal control Programmable control Adaptive control Photovoltaic systems Solar power generation Adaptive arrays Batteries Dynamic programming Algorithm design and analysis design optimization

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Adaptive critic designs based coupled neurocontrollers for a static compensator

Adaptive critic designs based coupled neurocontrollers for a...

引用

IEEE International Conference on computer-Aided design

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

A novel nonlinear optimal neurocontroller for a static compensator (STATCOM) connected to a power system, using artificial neural networks, is presented in this paper. The heuristic dynamic programming (HDP) method, a member of the adaptive critic designs (ACD) family, is used for the design of the STATCOM neurocontroller. The proposed controller is a nonlinear optimal controller that provides coupled control for the line voltage and the dc link voltage regulation loops of the STATCOM. An action dependent approach is used, in which the controller is independent of a model of the network. Moreover, a proportional-integrator approach allows the neurocontroller to deal with the actual signals rather than the deviations. Simulation results are provided to show that the proposed ACD based neurocontroller is more effective in controlling the STATCOM compared to finely tuned conventional PI controllers.

关键词： Neurocontrollers STATCOM Automatic voltage control Voltage control Optimal control Power system dynamics Power systems Artificial neural networks Dynamic programming Couplings

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On Transmit-Diversity Based Multicast in Mobile Wireless Networks

On Transmit-Diversity Based Multicast in Mobile Wireless Net...

引用

IEEE International Conference on Communications (ICC)

作者： Qinghe Du Xi Zhang Xuemin Shen Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA Centre for Wireless Communications Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada

We investigate the variations of using the different transmit-diversity techniques for multicast in mobile wireless networks. In particular, we propose and study two different schemes using transmit-diversity for mobile multicast. First, we propose the antenna-beamforming-based mobile multicast scheme which derives the transmit antenna weights by formulating/solving an optimization problem to minimize the average Symbol Error Rate (SER) over all multicast receivers. The simulations results show that our proposed beamforming-based scheme achieves lower SER compared with the existing beamforming-based mobile multicast algorithms which either maximize the instantaneous combined Signal to Noise Ratio (SNR) averaged over all receivers, or maximize the worst-case instantaneous combined SNR among all multicast receivers. Second, we apply the antenna-selection scheme in mobile multicasting to achieve the low average SER. We identify that the antenna-selection scheme is suitable for the scenario where different receivers/receiver-groups in a multicast session, experiencing different channel qualities, need to receive different error-control data. The analyses and numerical results show that the proposed scheme improves the SER performance through selecting antennas with better channel qualities and can flexibly support various antenna configurations.

关键词： Wireless networks Array signal processing Bit error rate Mobile antennas Transmitting antennas Wireless communication Receiving antennas Error analysis Signal to noise ratio Fading

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Intelligent optimal control of excitation and turbine systems in power networks

Intelligent optimal control of excitation and turbine system...

引用

IEEE General Meeting Power& Energy Society

作者： G.K. Venayagamoorthy R.G. Harley Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri MO USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta GA USA

The increasing complexity of the modern power grid highlights the need for advanced modeling and control techniques for effective control of excitation and turbine systems. The crucial factors affecting the modern power systems today is voltage control and system stabilization during small and large disturbances. Simulation studies and real-time laboratory experimental studies carried out are described and the results show the successful control of the power system excitation and turbine systems with adaptive and optimal neurocontrol approaches. Performances of the neurocontrollers are compared with the conventional PI controllers for damping under different operating conditions for small and large disturbances

关键词： Intelligent control Intelligent networks Optimal control Turbines Power system simulation Power system control Power system modeling Power systems Power grids Voltage control

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Power-Efficiency Data Gathering Schemes for Wireless Sensor Networks

Power-Efficiency Data Gathering Schemes for Wireless Sensor ...

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International Conference on computer Communications and Networks (ICCCN)

作者： Hang Su Xi Zhang Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

We develop energy-efficiency data gathering schemes for wireless sensor networks (WSN), where the channel is characterized by the slow Rayleigh fading. We consider the homogeneous WSN which consists of a large number of sensor nodes equipped with the identical hardware. In the WSN, the sensor nodes are distributed randomly in a specific area. A mobile base station periodically stops by the area to collect the data from the senor nodes. Energy efficiency, which is the performance metric we adopt for our scheme design, is defined as the energy consumption by transmitting a bit sensing information. We develop analytical models to study the proposed data gathering schemes. First, we demonstrate that clustering and data-fusion technology can help improve the energy efficiency compared to the naive data gathering scheme where the sensor nodes send sensing data directly to the mobile base station. Second, we show that making full use of the channel state information (CSI) can further reduce the energy consumption for data gathering. Finally, we found that there is a tradeoff between the energy consumption and the data gathering delay.

关键词： Wireless sensor networks Energy efficiency Energy consumption Sensor phenomena and characterization Base stations Rayleigh channels Hardware Measurement Analytical models Channel state information

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Optimal transmission range for cluster-based wireless sensor networks with mixed communication modes

Optimal transmission range for cluster-based wireless sensor...

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IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM)

作者： Hang Su Xi Zhang Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX USA

Prolonging the network lifetime is one of the most important designing objectives in wireless sensor networks (WSN). We consider a heterogeneous cluster-based WSN, which consists of two types of nodes: powerful cluster-heads and basic sensor nodes. All the nodes are randomly deployed in a specific area. To better balance the energy dissipation, we use a simple mixed communication modes where the sensor nodes can communicate with cluster-heads in either single-hop or multi-hop mode. Given the initial energy of the basic sensor nodes, we derive the optimal communication range and identify the optimal mixed communication mode to maximize the WSN's lifetime through optimizations. Moreover, we also extend our model from 2-D space to 3-D space

关键词： Wireless sensor networks Spread spectrum communication Monitoring Upper bound Analytical models Information systems Laboratories Energy dissipation Wireless communication Signal processing

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Adaboost and Support Vector Machines for White Matter Lesion Segmentation in MR Images

Adaboost and Support Vector Machines for White Matter Lesion...

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Quddus P. Fieguth O. Basir PAMI Lab Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada

The use of two powerful classification techniques (boosting and SVM) is explored for the segmentation of white-matter lesions in the MRI scans of human brain. Simple features are generated from proton density (PD) scans. Radial basis function (RBF) based Adaboost technique and support vector machines (SVM) are employed for this task. The classifiers are trained on severe, moderate and mild cases. The segmentation is performed in T1 acquisition space rather than standard space (with more slices). Hence, the proposed approach requires less time for manual verification. The results indicate that the proposed approach can handle MR field inhomogeneities quite well and is completely independent from manual selection process so that it can be run under batch mode. Segmentation performance comparison with manual detection is also provided

关键词： Support vector machines Lesions Image segmentation Support vector machine classification Humans Artificial neural networks Magnetic resonance imaging Biological neural networks Boosting Data analysis

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Autonomic Feature Selection for Application Classification

Autonomic Feature Selection for Application Classification

引用

International Conference on Autonomic Computing (ICAC)

作者： Jian Zhang R.J. Figueiredo Advanced Computing and Information Systems (ACIS) Laboratory Department of Electrical and Computer Engineering University of Florida Gainesville FL USA

Application classification techniques based on monitoring and learning of resource usage (e.g. CPU, memory, disk and network) have been proposed to aid in resource scheduling decisions. An important problem that arises in application classifiers is how to decide which subset of numerous performance metrics collected from monitoring tools should be used for the classification. This paper presents an approach based on a probabilistic model (Bayesian Network) to systematically select the representative performance features, which can provide optimal classification accuracy and adapt to changing workloads. Virtual machines (VMs) are used to host the application execution and system-level performance metrics for a VM summarize the application and its host's resource usage. This approach requires no application source code modification nor execution intervention. Results from experiments show that the proposed scheme can effectively select a performance metric subset providing above 90% classification accuracy for a set of benchmark applications.

关键词： Measurement Application software Bayesian methods Virtual machining Virtual manufacturing Training data Information systems Laboratories computerized monitoring Processor scheduling

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A High-Level Controller for Robot-Assisted Rehabilitation

A High-Level Controller for Robot-Assisted Rehabilitation

引用

Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Duygun Erol Nilanjan Sarkar Bibhrajit Halder Department of Electrical Engineering and Computer Science Vanderbilt University USA Department of Mechanical Engineering Robotics and Autonomous Systems Laboratory Vanderbilt University USA

The goal of our research is to develop a high-level controller to provide reference trajectories automatically to the low-level controller of a rehabilitation robotic device. The high-level controller, which is the supervisory controller, is an event driven, asynchronous discrete event system (DES), described by a finite state automaton. Extensive simulations are performed using the supervisory controller for a rehabilitation task. The results demonstrate the feasibility of the proposed supervisory controller

关键词： Robot control Rehabilitation robotics Automatic control Robot kinematics Control systems Force control Medical treatment Supervisory control Automata Medical control systems

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Cost Optimal Strategies for Placement of Amplifiers in a Point to Point Optical Link

Cost Optimal Strategies for Placement of Amplifiers in a Poi...

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International Conference on Numerical Simulation of Optoelectronic Devices, (NUSOD)

作者： Mohammad Amin Dallaali Malin Premaratne Arthur J. Lowery Advanced Computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton VIC Australia

In this paper, we consider the optical power level for developing a full constrained search algorithm to find the optimal cost allocation of a chain of amplifiers. We show how the algorithm is improved when different ... 详细信息

关键词： Cost function Semiconductor optical amplifiers Optical amplifiers Optical fiber communication Optical fiber amplifiers Optical attenuators Repeaters Stimulated emission High power amplifiers Optical computing

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