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Vague Sets Based Evidence Combinational Rule With Generalized Belief Function

Vague Sets Based Evidence Combinational Rule With Generalize...

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International Conference on Information and Automation (ICIA)

作者： Lizhong Xu Zhigui Lin Simon X. Yang College of Computer and Information Engineering Hohai University HHU Nanjing China Advanced Robotics and Intelligent Systems ARIS Laboratory School of Engineering University of Guelph Guelph ONT Canada

In this paper, a new vague evidence theory is proposed to expand the conventional evidence theory. First, the concept of vague evidence theory is introduced. Based on the features of vague sets, a belief function is formulated, and its characteristics is analyzed and proved mathematically. After that, based on the degree of similarity in vague sets, the relative contribution to the combined vague sets is obtained, and a vague sets based combinational rule is formulated. Finally, experiments are conducted to demonstrate the effectiveness of the proposed vague evidence theory. The proposed vague evidence theory based method is capable of representing and processing problems with vagueness, uncertainties and imprecision.

关键词： Fuzzy sets Set theory Area measurement Measurement uncertainty Humans intelligent robots Fuzzy set theory Educational institutions intelligent systems Arithmetic

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Optimal STATCOM Sizing and Placement Using Particle Swarn Optimization

Optimal STATCOM Sizing and Placement Using Particle Swarn Op...

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IEEE/PES Transmission and Distribution Conference and Exposition: Latin America

作者： Y. del Valle J. C. Hernandez G. K. Venayagamoorthy R. G. Harley Department of Electrical and Computer engineering Georgia Institute of Technology Atlanta GA USA Department of Electrical and Computer Engineering Real-Time Power and Intelligent Systems Laboratory University of Missouri-Rolla MO USA

Heuristic approaches are traditionally applied to find the size and location of flexible AC transmission systems (FACTS) devices in a small power system. Nevertheless, more sophisticated methods are required for placing them in a large power network. Recently, the particle swarm optimization (PSO) technique has been applied to solve power engineering optimization problems giving better results than classical methods. This paper shows the application of PSO for optimal sizing and allocation of a static compensator (STATCOM) in a power system. A 45 bus system (part of the Brazilian power network) is used as an example to illustrate the technique. Results show that the PSO is able to find the best solution with statistical significance and a high degree of convergence. A detailed description of the method, results and conclusions are also presented

关键词： Automatic voltage control Power systems Particle swarm optimization Flexible AC transmission systems Power system simulation Evolutionary computation Power engineering Power generation STATCOM Optimization methods

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Adaptive critic designs based coupled neurocontrollers for a static compensator

Adaptive critic designs based coupled neurocontrollers for a...

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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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A Robotic Opto-tactile Sensor for Assessing Object Surface Texture

A Robotic Opto-tactile Sensor for Assessing Object Surface T...

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IEEE Conference on robotics, Automation and Mechatronics

作者： A. M. Mazid R. Andrew Russell Faculty of Engineering Monash University Malaysia Clayton VIC Australia Intelligent Robotics Research Centre Department of Electrical and Computer Systems Engineering Monash University Malaysia Clayton VIC Australia

This paper presents the design construction and working principle of a newly developed opto-tactile sensor for object surface assessment in robotic applications. The sensor provides information about surface texture and this can be used to assist in quality assurance and object recognition tasks. Surface texture causes flexing of protrusions on the sensor surface which in turn rotates a small mirror within the sensor. This rotation is measured optically as a variation in light intensity transmitted between two optical fibers. A mathematical relationship between these light intensity changes and geometrical parameters of the surface texture has been developed. The sensor has been fabricated and tested on a number of different surface textures and preliminary results of sensor output for differing textures are presented. It is envisaged that the sensor will be integrated into a robot system or other intelligent machine to assist with object recognition and evaluation of surface texture

关键词： Robot sensing systems Surface texture intelligent sensors Object recognition intelligent robots Quality assurance Mirrors Rotation measurement Geometrical optics Optical sensors

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Spatial Distribution of Water Quality Based on Generalized Regression Neural Network

Spatial Distribution of Water Quality Based on Generalized R...

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International Conference on Information and Automation (ICIA)

作者： Huibin Wang Lizhong Xu Shaohua Sun Simon X. Yang College of Computer and Information Engineering Hohai University HHU Nanjing China Advanced Robotics and Intelligent Systems (ARIS) Laboratory School of Engineering University of Guelph Guelph ONT Canada

The paper proposes a new model for analyzing spatial distribution of water quality. The model is based on statistics and generalized regression neural network. The model is based on statistic theories and easy to approximate a nonlinear function. The advantages of the model include simple net structure, few artificial parameters, and high accuracy calculation. The developed approach is successfully applied to the water quality assessment of the Taihu Lake of China P.R, which includes the dissolved oxygen concentration of water-quality index and the spatial distribution of the water-quality level. The results show that the model can generate a credible spatial distribution of the water quality.

关键词： Neural networks Lakes Statistical distributions Monitoring intelligent robots Function approximation Probability density function Sun Educational institutions computer networks

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intelligent optimal control of excitation and turbine systems in power networks

Intelligent optimal control of excitation and turbine system...

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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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Hierarchical Control Scheme for two Static Compensators in the Brazilian 45-Bus Power System

Hierarchical Control Scheme for two Static Compensators in t...

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IEEE PES Power systems Conference and Exposition, PSCE

作者： S. Mohagheghi Y. Del Valle G.K. Venayagamoorthy R.G. Harley Intelligent Power Infrastructure Consortium IPIC 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

This paper presents a conventional external scheme for controlling two neighboring static compensators (STATCOMs) from a supervisory level. The two STATCOMs are connected to two buses of a load area in a multimachine power system. The power network analyzed in this paper is a 45-bus 10-generator section of the Brazilian power system. Regulating the voltages at the points of connection to the power system is considered to be the primary objective of the local controllers of the two STATCOMs in this study. Based on the deviations of the voltages with respect to their corresponding reference values, the hierarchical control generates the appropriate signals in the form of the auxiliary reference signals for the line voltage control loops in the two devices. Simulation results are provided to show the proposed external controller improves the performance of the power system during small and large scale disturbances

关键词： Control systems STATCOM Power system control Power systems Power system analysis computing Automatic voltage control Voltage control Power system simulation Signal generators Large-scale systems

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Empirical Study of an Unconstrained Modified Particle Swarm Optimization

Empirical Study of an Unconstrained Modified Particle Swarm ...

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Congress on Evolutionary Computation

作者： P.W. Moore G.K. Venayagamoorthy The Real-Time Power and Intelligent Systems (RTPIS) Laboratory Department of Electrical and Computer Engineering University of Missouri Rolla Rolla MO USA

In this paper, an unconstrained modified particle swarm optimization (UMPSO) algorithm is introduced and studied empirically. Four well known benchmark functions, with asymmetric initial position values, are used as testing functions for the UMPSO algorithm. The UMPSO is a variation of the canonical PSO in which the velocity and position is unconstrained, an additional strategic component is added, and the social component term has been modified. The strategy component is used instead of varying parameters or mutation to enhance diversity in the swarm during the search. The UMPSO algorithm is then compared to results obtained from the constrained canonical PSO (CPSO) and the unconstrained canonical PSO (UPSO). The results show that UMPSO algorithm with no maximum velocity and position, and no minimum velocity and position value that performs better than the CPSO and the UPSO for the Sphere, Rosenbrock, Rastrigrin, and Griewank benchmark functions.

关键词： Particle swarm optimization Birds Marine animals Genetic mutations Benchmark testing Cultural differences Educational institutions Pulse width modulation Equations Genetic algorithms

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Real-Time Implementation of a STATCOM on a Wind Farm Equipped with Doubly Fed Induction Generators

Real-Time Implementation of a STATCOM on a Wind Farm Equippe...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

作者： Wei Qiao 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 Rolla MO USA

Voltage stability is a key issue to achieve the uninterrupted operation of wind farms equipped with doubly fed induction generators (DFIGs) during grid faults. A static synchronous compensator (STATCOM) is applied to a power network which includes a DFIG driven by a wind turbine, for steady state voltage regulation and transient voltage stability support. The control schemes of the DFIG rotor-side converter, grid-side converter and the STATCOM are suitably designed and coordinated. The system is implemented in real-time on a Real-Time Digital Simulator (RTDSreg). Results show that the STATCOM improves the transient voltage stability and therefore helps the wind turbine generator system to remain in service during grid faults

关键词： Automatic voltage control Wind farms Induction generators Stability Wind turbines Real time systems Steady-state Voltage control Rotors Mesh generation

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intelligent Integration of a Wind Farm to an Utility Power Network with Improved Voltage Stability

Intelligent Integration of a Wind Farm to an Utility Power N...

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Conference Record of the IEEE Industry Applications Society Annual Meeting (IAS)

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

The increasing effect of wind energy generation will influence the dynamic behavior of power systems by interacting with conventional generation and loads. Due to the inherent characteristics of wind turbines, non-uniform power production causes variations in system voltage and frequency. Therefore, a wind farm requires high reactive power compensation. Flexible AC transmission systems (FACTS) devices such as SVCs inject reactive power into the system which helps in maintaining a better voltage profile. This paper presents the design of a linear and a nonlinear coordinating controller between a SVC and the wind farm inverter at the point of interconnection. The performances of the coordinating controllers are evaluated on the IEEE 12 bus FACTS benchmark power system where one of the generators is replaced by a wind farm supplying 300 MW. Results are presented to show that the voltage stability of the entire power system during small and large disturbances is improved

关键词： intelligent networks Wind farms Voltage Power system stability Wind energy generation Power system interconnection Power system dynamics Power generation Reactive power Flexible AC transmission systems

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